Playing around with complex systems, big data, predictive models, and innovative ecosystems. At Barclays I am part of the Data Science and Advanced Analytics team where I work on different data driven projects. I was part of the research team at FXCintel where I have been in charge of developing predictive models, insightful visualisations, productionalisation of analytics, supporting the sale and marketing team with relevant analytics. During my PhD at Queen Mary in London, I was interested on collaborative social networks and in understanding the origin and consequences of social capital. I was interested primarily in uncovering the network mechanisms that are responsible for forging, maintaining, and severing social relationships among individuals over time. I am interested in the structural foundations of economic performance, scientific success, and artistic creativity. In all my projects I use novel techniques of complex network analysis and develop scalable codes for the analysis of very large data sets. I have been part of the R&D team of Startup Network company, where I helped to develop the LAB project and to predict which startup will soon reach success. I have been involved also sending tweets to the Moon. Yes, seriously! Positions: Team Lead at ABN AMRO Bank N.V. - Lead Data Scientist at ABN AMRO Bank N.V. (2022 - Present), Senior Data Scientist at ABN AMRO Bank N.V. (2021 - Present), Assistant Vice President of Advanced Data Analytics - Data Scientist at Barclays UK at Barclays (2019 - 2021), Data Scientist at FXC Group (FXCintel & FXcompared) (2017 - 2019), Ph.D. at School of Mathematical Sciences and School of Business and Management at Queen Mary University of London (2013 - 2017), Lecturer at Queen Mary University of London (2017 - 2017), Lecturer at Queen Mary University of London (2016 - 2016), Data scientist & R&D - Part time job at Startup Network (2014 - 2016), Organizer - From Atom to Galaxies at Pint of Science (2016 - 2016), Lecturer at University of Naples Federico II (2015 - 2015) Skills: Influential Communicator, Leadership, Python (Programming Language), Machine Learning, Machine learning, Python, Spark, Data Analysis, Research, Mathematical Modeling, Physics, Statistics, Mathematics, Social Media, Data Mining, Optimization, Algorithms, Data Science, Agile, LaTeX, Microsoft Office, Linux, Bash, Matlab, Pandas (Software), Git, PySpark, Creativity Skills, Teach, Interpersonal Skills, Neo4j, Awk, NLP, sklearn, Complex network analysis, Innovation Ecosystems, EDP, Apache Spark, Gephi, Big Data, Agent-based Modeling, Management, Extract, Transform, Load (ETL), Start-ups, FinTech, Banking Recent Posts: Hi everyone! I’m seeking a new role and would appreciate your support. If you hear of any opportunities or just want to catch up, please send me a message or comment below. I’d love to reconnect. #OpenToWork About me & what I’m looking for: 💼 I’m looking for Communications Officer, Multimedia Journalist, Press Officer, Humanitarian Aid Worker, and Project Consultant roles. 🌎 I’m open to roles in Africa, Oceania, and European Economic Area. We are excited to announce an opening for a fellowship (with possibility to join a PhD position in Data Science) within the framework of the European project Hi-ROC (https://lnkd.in/dW6i7rUQ). The project focuses on patients with unresectable locally advanced lung cancer, high-risk head and neck cancer, and large operable retroperitoneal soft tissue sarcoma, aiming to identify those most likely to benefit from carbon ion radiotherapy as an alternative to photon radiotherapy. This doctoral research will focus on developing an integrated hypoxia signature by combining genetic, microbiota, transcriptomic, and imaging data to improve personalized cancer treatments and will employ mechanism- and machine-learning techniques to analyze data sets and create predictive models for hypoxia. The post is based at the Data Science Unit of Istituto Nazionale dei Tumori in Milan and will involve close collaboration with CNAO (Centro Nazionale di Adroterapia Oncologica) and the MOX Laboratory at the Politecnico di Milano, offering opportunities to work with cutting-edge technology in advanced radiotherapy and mathematical modelling. A background in data science, bioinformatics, computer science, or related fields is required, with a particular interest in machine learning, and medical imaging. Experience with programming languages such as Python or R and familiarity with machine learning frameworks will be considered an advantage. This position offers a unique opportunity to work at the intersection of AI, multi-omics, and personalized medicine, contributing to cutting-edge research that will shape future cancer treatment strategies. For further enquiries on the position contact Dr. Tiziana Rancati (tiziana.rancati@istitutotumori.mi.it) We are excited to announce an opening for a fellowship (with possibility to join a PhD position in Data Science) within the framework of the European project Hi-ROC (https://lnkd.in/dW6i7rUQ). The project focuses on patients with unresectable locally advanced lung cancer, high-risk head and neck cancer, and large operable retroperitoneal soft tissue sarcoma, aiming to identify those most likely to benefit from carbon ion radiotherapy as an alternative to photon radiotherapy. This doctoral research will focus on developing an integrated hypoxia signature by combining genetic, microbiota, transcriptomic, and imaging data to improve personalized cancer treatments and will employ mechanism- and machine-learning techniques to analyze data sets and create predictive models for hypoxia. The post is based at the Data Science Unit of Istituto Nazionale dei Tumori in Milan and will involve close collaboration with CNAO (Centro Nazionale di Adroterapia Oncologica) and the MOX Laboratory at the Politecnico di Milano, offering opportunities to work with cutting-edge technology in advanced radiotherapy and mathematical modelling. A background in data science, bioinformatics, computer science, or related fields is required, with a particular interest in machine learning, and medical imaging. Experience with programming languages such as Python or R and familiarity with machine learning frameworks will be considered an advantage. This position offers a unique opportunity to work at the intersection of AI, multi-omics, and personalized medicine, contributing to cutting-edge research that will shape future cancer treatment strategies. For further enquiries on the position contact Dr. Tiziana Rancati (tiziana.rancati@istitutotumori.mi.it) Just updated my website with the a couple new posts: - The presentation last year at PyData Amsterdam with the connection to the youtube video - The podcast interview with Bind2Tech on leadership (and the connection to the Spotify episode) Enjoy! https://valkiii.github.io/ Hi All, As expected, my LinkedIn feed has been flooded with posts celebrating people starting new positions or receiving well-deserved promotions—it's always inspiring to see such achievements! For many, these changes mean stepping into leadership roles, transitioning from being an individual contributor to taking on the responsibilities of leading a team. It’s a significant shift that comes with its own set of challenges and opportunities. What better way to prepare for this transition than by learning from those who’ve successfully navigated it? I’m proud to share that the latest episode of the Bind2Tech Podcast is now available! From Individual Contributor to Leader: Making the Leap with Confidence A huge thank you to our amazing panellists João Querido, Solaiyappan Shanmugam, and Valerio Ciotti, Ph.D. for sharing their insights and experiences https://lnkd.in/ecn8sitU Enjoy! Hey all, I recently had the opportunity to have an intersting conversation with João Querido and Solaiyappan Shanmugam regarding the challenging move from Individual contributor (aka senior data scientist in my case) to leading a team. You can listen to this coversation in the last episode of the podcast Bind2Tech hosted by Waheed Najimi. Hope you enjoy listening to it as much I did doing it! Hi all, as you may remember, in September I gave a talk at pydata on uncovering successful startups at their early stage. If you are interested in the talk and you did not have the chance to come in person to listen to it, there is the talk online on youtube! Reach out if interested in having a chat! Thanks to PyData Amsterdam to organizing such a rich event! https://lnkd.in/dbWxKNU2 #PyData2024 #PyDataAmsterdam #startup #startupsuccess #networktheory #Innovation Hey LinkedIn! As some of you know, I've decided to go back to my biotech roots! I'm looking for a remote role (I'm based in Rome) involving the application of AI to biotech, as close to longevity as possible. I bring to the table my extensive experience in molecular dynamics from my DPhil, and my experience in innovation management and AI from my time as CTO. Despite my managerial experience, I'm looking for a role involving at least some programming firsthand, since that's where I have most fun - I'd be happy as either an individual contributor or the lead of a small team. Please message me if you know of any openings that might be of interest. Thanks a lot! :) #OpenToWork PyData Amsterdam is over. It was a three day of intense talks, workshops, knowledge sharing and networking. I really enjoyed the workshop given by Felipe Moraes on uplift models, the talk on mapie's library on conformal prediction (Mojtaba Farmanbar, PhD), the benchmark experiment (👋 Vincent Warmerdam) and the one on knowledge graph and graph vector (Martin O'Hanlon). Pydata is also a special place where you discover that other people think a lot like you and came up with similar solutions, like on how to use SHAP values to create a better clustering of your data (Hans Korving). I really enjoyed giving my talk on "Hunting unicors using network analysis". As I said at the begin of my talk, 9 years after my first pydata I ended up finally being one of the presenter! Such a great achievement! :) Also big thanks to Moreno Bonaventura and Mario Scuderi for their initial discussion on how to have a data driven approach on evaluating early stage startups, without which, probably this work wouldn't see the light of day! A big thank you to all the organizers of such an incredible event. Without them, this wouldn't be possible! Looking forward to next year! #pdamsterdam2024 hashtag #pydata hashtag #python As we transition into the cooler months in Holland, it's a great time to dive into some insightful reading. Bugra Kaya, one of the brilliant minds in our team at ABN AMRO, has just published an excellent article on a topic that's crucial for the future of banking: Customer Lifetime Value (CLV). In the article, Bugra explores how we at ABN AMRO use advanced data analytics to not only understand the lifetime value of our customers but also to tailor services that drive long-term growth and satisfaction. It's a fantastic look into how banking is evolving, with data-driven decisions shaping our approach to customer relationships. I'm proud of Bugra for shedding light on such an important subject and for his continued dedication to innovation and excellence. Read the full article here: https://lnkd.in/dvcmTVxg #CustomerLifetimeValue #BankingInnovation #DataAnalytics #ABNAMRO #CustomerExperience I’m excited to share an article I wrote about Customer Lifetime Value (CLV) in banking! In this article, I walk you through a simulation-driven CLV model that creates multi-year projections using simple yet intuitive assumptions and techniques, providing valuable insights for strategic decision-making. Check it out and let me know your thoughts! https://lnkd.in/ekCvC9sA September 18-20 is almost here, and we’re buzzing with excitement! 🤩 Get ready for an unforgettable experience at #PDAmsterdam2024 ☀. This year's PyData Amsterdam is packed with 3 inspiring keynotes, over 50 engaging talks and 8 tutorials/workshops. Don’t miss your chance to dive into the world of data & AI, and connect with the amazing PyData community. Make sure you’ve got your ticket! 🔗 https://lnkd.in/emPpjqKU We just opened a new position in my team. Are you a senior Data Scientist with strong statistical background? Come and join me and my team! Join Valerio Ciotti, Ph.D. at #PDAmsterdam2024 for his intriguing talk, "Hunting Unicorns with Network Analysis." Valerio will dive into how network science can be used to predict the success of early-stage startups by analyzing the global web of professional relationships among them. Using data from CrunchBase and the Networkx library, Valerio constructs a dynamic network where startups are the nodes, and employee flows represent the links. By applying network centrality measures like PageRank, he ranks startups and investigates how their position within this network correlates with their future success. His findings suggest that a startup's network position can be a strong predictor of its long-term economic performance, sometimes outperforming traditional venture capital screening methods. This talk will cover the methodology for constructing the startup network, the predictive modeling techniques used, and the key insights gained from the analysis. Valerio will also discuss the practical implications for entrepreneurs, investors, and policymakers, offering a new lens through which to evaluate and optimize startup ecosystems. 🎟 https://lnkd.in/e7wGpnUs It's still summer (even though in Holland it may not feel like it anymore), and it's the perfect time to relax and read something interesting. If you're struggling to pick your next read, don't worry! One of our talented data scientists, Veeraraghavan Veerasubramanian, has just published a fascinating article that sheds light on the best ways to reach our customers. In a world where personalization is key, our team at ABN AMRO has been leveraging advanced data science techniques to optimize customer interactions. Veeraraghavan breaks down how we use predictive modeling to not only understand our customers better but also to deliver value in a way that resonates most with them. It's inspiring to see the impact of data-driven strategies in enhancing customer experiences and driving business growth. Kudos to Veeraraghavan and the entire team for their dedication and innovative thinking! 👏 Check out the full article here: https://lnkd.in/dg7vasFr #DataScience #CustomerExperience #ABNAMRO #Innovation #PredictiveAnalytics What does a heartbeat timeseries and a graph have in common? I've always been a romantic, perhaps due to the genre of music my parents and I listened to growing up. The emotional depth in those songs fascinated me then, and it still does today. This fascination with emotions and complexity has shaped my career as a data scientist. In my latest blog post, I explore how we can visualize and understand heartbeats using data science techniques, specifically visibility graphs. Starting from the basics, I explain visibility graphs through a tangible metaphor: skyscrapers in a city. Imagine each data point as a skyscraper, with its height representing the data's magnitude. The relationships between these data points become clear lines of sight, revealing intricate patterns within the dataset. I present the mathematical significance of visibility graphs and demonstrate how this method transforms complex time series data into a visual representation. By analyzing the heartbeat data from my run, I create a graph that transforms it into an artistic depiction of my heartbeat. Here's a snippet from the post: "There is not much of a deep meaning to be found in this piece of analysis, it was made for the sake of introducing a nice concept like the visibility graph methodology to a wider audience and combining it with something out of the common like a heartbeat time series into something almost artistic." Check out the full post to see how visibility graphs can turn complex datasets into something visually and scientifically captivating. https://lnkd.in/davVADUr #DataScience #ComplexSystems #VisibilityGraphs #Heartbeats #Visualization #Innovation Just updated my website with a fresher look. Soon a couple of new posts will be dropped. Stay tuned! Have you ever wondered how to hunt unicorns using net(works)? If yes, you will finally get an answer to your question. If not, hopefully you will still come listening to some new ideas! By drawing on large-scale online data, we construct a time-varying worldwide network modeling the professional relationships and employee transitions among startup companies. The nodes represent companies, while links indicate the flow of employees and associated transfer of knowledge across firms. We investigate whether the position and connectivity patterns of a startup within this network hold predictive power for the company's long-term economic performance and likelihood of becoming successful. Leveraging network centrality measures like PageRank, we rank all startups of the world wide startup network. Our analysis finds that the startup network provides valuable signals, enabling predictions that sometimes double the performance of traditional venture capital screening processes. The results support theories that a start-up's position within its ecosystem is highly relevant for future success. Very proud to present one of the most exciting project I have worked on at pydata Amsterdam in September! #pydata #pydataAmsterdam #startups #success #networkanalysis Finally updating my website with a new blog post (and hopefully more coming in the near future!) It's a short guide on how I automated the updating process from my local version to github pages. Hopefully will be useful for someone else too! Enhancing Model Performance with Effective Monitoring Our team is proud to share an insightful article written by Dana Tokmurzina, one of our talented data scientists, now featured on Medium. In the evolving field of data science, post-deployment model monitoring is critical to maintaining accuracy and reliability. Dana’s article delves into the best practices for effective model monitoring, exploring various techniques and tools that are essential for data scientists. In this comprehensive piece, Dana covers: - The importance of monitoring machine learning models in production. - Common challenges faced during model monitoring. - Practical solutions and tools to overcome these challenges. We believe this article will be a valuable resource for anyone involved in data science, from beginners to seasoned professionals. Join us in discussing best practices and innovative strategies in our field. Kudos to Dana for contributing her expertise to the broader data science community. #DataScience #MachineLearning #ModelMonitoring #TechInnovation #DataDriven #ABNAmro #ABN In a world where large language models (LLMs) and artificial intelligence (AI) are dominating the tech landscape, we've decided to take a step back and revisit a simpler yet powerful approach. This "Ode to Logistic Regression" is a thought-provoking article written by Christian te Riet, highlighting the remarkable capabilities of logistic regression – a seemingly simple algorithm that can drive complex decision-making processes. Despite the recent advancements in AI and machine learning, this article reminds us that sometimes the most elegant solutions lie in the fundamentals. Logistic regression, with its interpretable nature and efficiency, can often outperform more intricate models, especially when data is limited or when stakeholders demand transparent decision-making processes. Whether you're a seasoned data scientist or a newcomer to the field, this "Ode to Logistic Regression" is a must-read. It serves as a refreshing reminder that simplicity should never be underestimated, and that the true power of an algorithm often lies in its ability to distill complex problems into comprehensible solutions. Great to collaborate on this important topic of AI together with all banks. Happy to have shared the keynote on how data is at the heart of @ABN AMRO together with Dennis de Reus and Valerio Ciotti, Ph.D.. Looking back at some great meet ups and conversations with a great number of participants. Catharina Schut: Thanks for being part of the organization. Want to further discuss the topic? Feel free to reach out. It’s a wrap! Great collaboration again. Proud of our CDO Hiek Van der Scheer as keynote speaker on Data is at the heart of everything at ABN AMRO Bank N.V. together with Dennis de Reus and Valerio Ciotti, Ph.D. Looking forward to the next edition! John Wanamaker, a pioneer in marketing, once said: “Half the money I spend on advertising is wasted; the trouble is I don’t know which half” Sadly, a lot of companies still struggle to get insights into the effectiveness of their marketing expenses. This can lead to unnecessary expenses or missed sales. At ABN AMRO we use machine learning techniques to optimize our marketing spending. Are you interested in optimizing your own marketing expenses across different channels? We have the thing for you! In my latest blog I explain the different methods that help you get the most out of your marketing budget. https://lnkd.in/efa9TpjK Starting off 2024 with a bang! We are excited to share a series of articles aimed at shedding light on what our data science teams are working on in ABN AMRO Bank N.V.. Are you struggling with optimizing your marketing expenses across different digital channels? Look no further! Our very own Bas Stinenbosch has written an article explaining different methods and their usage. Check it out and let us know what you think! Stay tuned for more articles to come. https://lnkd.in/gCcnQwtK I’m happy to share that I’ve obtained a new certification: Positive Power and Influence from Bureau Zuidema! We are in the era of not fact checking but only seeking likes for our posts.. And fake news spreads like oil on the sea.. https://lnkd.in/e8wadhgn Hi community & friends, !!Appreciation & hiring post!! I have been working closely with Jingye for the past 9 months on topics ranging from Data Engineering, Data Validation, Data & Model Monitoring (MLOps), etc. As an intern, Jingye delivered excellent value to my team with dedication and inspiring work ethics. He is graduating with a WO Master in Computer Engineering (Big Data) next month with a couple of years experience in Software Engineering. If you need someone with excellent Data & ML engineering skills and incredible work ethics, please reach out to Jingye asap. Check out his CV! CC: Violeta Misheva, PhD Pim Kuurman Danial Senejohnny, PhD #data #dataengineering #softwareengineering #ml #hiring On to the next one! 🎤 #data #datascience #finance #conference #dsfc Rabobank ING de Volksbank ABN AMRO Bank N.V. Van Lanschot Kempen Transactie Monitoring Nederland (TMNL) #netpromoterscore #customerexperience #customercentric #feedback #satisfaction #loyalty #nonlinear #dsfc #finance #banking #abnamro #ing #rabobank #tmnl #vanlanschotkempen #devolksbank #data #future #knowledgesharing #networkanalysis #startups #venturecapital #entrepreneurs #economic #performance #predictive #recommendations #innovation #dsfc #finance #banking #abnamro #ing #rabobank #tmnl #vanlanschotkempen #devolksbank #data #future #knowledgesharing VC Data Mixer VI April 2023 London A group of Data-Driven VCs that use data, statistical modelling, and AI to enhance sourcing, screening, and fund portfolio management. DM me for details if you are an Angel, VC or PE investor using data for decision-making, and interested in joining us for dinner, drinks, and conversation. #venturecapital #machinelearning #generativeai #privatemarkets #angelinvesting #deeptech #deeplearning #techstars I'm looking for an senior full stack developer to join my Sydney based Data & Analytics team, to work with us on some really interesting client projects. Please apply below if you think that could be you! #pwc #integratedinfrastructure #fullstackdeveloper I had a data science post planned this morning but I want to post on something I usually don’t talk about since it’s all I can think of right now. It’s hard as hell being a working parent. I’m not complaining (maybe I am, idk) and I’m not saying being a non-parent is any easier—life’s harsh all around. Just talking about my own experience here. Being a working parent means - dropping off your toddler(s) at school after they woke up in a raging fit and they can’t explain what’s wrong and you can’t fix it, but you have to take them to school because life goes on, and you go to work with your headspace completely racked and distracted all day - spending the first half of your day trying to shake your distracted and pummeled headspace to focus on delivering work stuff - daycare calling because your kid is sick and they want you to come get them, and now you feel guilty about leaving work - staying home with your kid even though you have work deadlines and trying to work at home with a sick kiddo is nearly impossible - feeling guilty about your kiddo being sick while trying to focus on work, and feeling guilty about slacking at work because you want to focus on your baby To all the working parents, I see you. Onze gedachten zijn bij de getroffenen van de aardbeving in Syrië en Turkije. Het aantal hulpinitiatieven is hartverwarmend. Wij willen deze initiatieven ondersteunen en versterken. Vanaf 10 februari kunnen alle particuliere klanten kosteloos geld overmaken naar Turkije. Helaas is het vanwege sancties niet mogelijk hetzelfde te doen voor overboekingen naar Syrië. Via Tikkie is het ook mogelijk om geld over te maken naar Giro555. Lees meer op deze pagina: https://lnkd.in/eth58Dhs How do you find a unique personal project to work on so you can really learn something? When looking for a new one, I always ask myself if I can build something to improve my life or understand something better by looking at its data. Below are all of the personal projects that I have worked on. I still need to finish some of them, but they all taught me something in Python, SQL or Data Science. Hopefully, they can inspire someone to find a project! - Learned python basics, did some if else games: rock/paper/scissors, guess the number, blackjack, and what are the best places to buy in monopoly. A fun way to learn python with small games at the time. - I wanted to make a more complex game, so I made a snake game. I learned classes and Pygame. - I used to do portrait and Instagram collabs with people, so I made a bot to send specific messages to certain people based on criteria. This taught me web-scraping and that storing all your data in .txt files is not a good thing. - I love European Football and wanted to analyze Premier League so I collected data about all the games since its creation in 1992, cleaned it, and visualized it using pandas and Plotly. This helped me improve my web-scraping skills and become proficient in pandas and Plotly. - I got annoyed at seeing scam/sex bots on Instagram after so many years, so I collected data and made a model to predict if a comment is a bot or a legit user. Learned even more about web-scraping, pandas, data collection, data cleaning, data labeling, git, APIs, image processing, and so many ML concepts. - I recently switched the layout of my keyboard from French to US and made a game in python to teach me how to type faster by analyzing my previous games. I used Pygame because I remembered my old project. I mainly learned about using python with a SQL database, I even changed the storing system on the IG sex bot because of this project. - I didn’t start this one but being an hourly user of Notion, I plan to automate some stuff by playing with their API. It’s all about finding something related to you remember, it’s personal. Learning by building something is so much more efficient and pleasant. #datascience #sql #python #instagram #ml #data #database #pandas #learning #projects #personnalproject As a junior data scientist, I was unaware of the nuances and difficulties of the data science lifecycle and reacted to situations differently than I do as a senior/principal. And all seniors have been jaded by the following scenarios 😅 When the business says they’re ready to start developing a DS project: ☀️ a junior starts developing 🌧 a senior knows it means they’re only ready to begin scoping the project When the data scientist is pointed to a clean and tidy dataset: ☀️ a junior will begin exploring and modeling 🌧 a senior knows this is too good to be true and begins investigating When a trained model is performing at 99% accuracy: ☀️ a junior thinks it’s ready for production 🌧 a senior sheds a tear because data leakage has surfaced When a validated model is running in a notebook: ☀️ a junior thinks it’s close to production time 🌧 a senior knows there’s still a long road ahead Any suggestions for a short text(script)-to-video AI generator to try? 📚 Curated list of Books, Blogs and YouTube Channels for AI and Data Science I’ve curated a list of books, blogs and YouTube channels based on what has been meaningful for my career growth over the past several years. These contain a broad range of AI topics including Machine Learning, Deep Learning, Vision, NLP, and Speech. 🔹 Read List (https://aman.ai/read):  - A set of blogs I follow and books I recommend to build intuition around AI fundamentals. - I’ve indexed Stanford, MIT, and CMU course notes, books, newsletters, interactive visualizations, blogs, Github repos, and also some cherry-picked blog posts. 🔹 Watch List (https://aman.ai/watch):  - While I’ve always been a fan of learning by reading, I moved on to visual learning after realizing the power of conveying the intricacies of a concept visually.  - YouTube videos are a great way to get a visual intro of concepts. In here is a list of YouTube channels that offer some great content. Hope you find these resources helpful in your journey. Have suggestions on what we can add to these lists? Drop me a message! #artificialintelligence #machinelearning #ai #ml A short story about Racism in Booking.com booking.com rescinded my signed contract one day before my flight to Amsterdam and 5 days before my start date. It happened on September 9, 2022. Same scenario happened to other people from my country, Iran. ‌booking.com didn't even respond to any of my emails after that. They mentioned that the withdrawal of the offer is because of some “changes in business requirements” which was a ridiculous reason 5 days before my start date. The actual reason is booking.com doesn’t want to hire people from certain countries anymore. I have done lots of things to be able to relocate to Amsterdam. My husband & I had already resigned from our jobs, I sold my car and all my belongings much less than their actual price, I rented out my house in a long term contract, I traveled between Mazandaran (Where I Live) and Tehran (Where the Embassy of NL located) for several times to collect needed documents (it takes 10 hours by car for a round trip). I packed all my things. I changed all my money to euros and finally I was waiting for my flight when I have received the booking offer withdrawal email. it was a shock to me. Also my family was indirectly affected by this unsuccessful migration. They were hurt financially and emotionally. I want to ask Booking.com once again the question I asked in my previous unanswered emails. How does booking.com want to compensate for the financial and emotional damage it has caused to me and people like me? At the end, I want to use a Persian proverb and tell you that “[racism] has no horns and tail". This means that the devil face of the racism is not always visible. Racism is exactly your behavior when you shout Diversity as a value of your company and instead suddenly decide not to hire any more people from Iran. Hope this post helps people to choose the right company to join and to book! PS: I appreciate the help of those who can reflect my voice and people like me in mass media, as well as all those who can help us in legal actions. #RacismInBookingcom #bookingcomteam #diversity #bookingcom Very happy to announce that I have joined Techstars as Senior Vice President of Fund & Investment Analytics to support the data-driven vision of our CEO Maelle Gavet with Jason Seats in the Capital Team. Thank you for the support and insightful conversations from Lorène Sani, Arash Sani, CPCU, Mike Arpaia, Ash Fontana, Leighton Turner, PhD, Martin Bloom, Dharmendra Patel, Mattias Ljungman, Bertie C., Magnus Rausing, Amir Banifatemi, Rupesh Madlani, Plamen Monovski, Rama CONT, Lukasz Szpruch, Tom Wehmeier, Tom Stafford, Alice Bentinck, Matt Clifford, Robert Elliott Smith, Andrea Roventini, Philip Treleaven, and Ian Hathaway. Thank you also to Steve Gibson, Spencer Lake, Michael McFadgen, Aleksandra Tyurina, and Meera Bissoondeeal at Element Ventures, Gautam Bhattacharya, Akif Jawaid, Matthew Robb, and Tony Qui at EY. #venturecapital #startupfunding #startupfounders #angelinvesting #seedcapital #seedfunding #machinelearning #ai #investing #innovation #entrepreneur #fintech #venture #venturefunding I’m happy to share that I’m starting a new position as Lead Data Scientist - Team Lead at ABN AMRO Bank N.V. at ABN AMRO Bank N.V.!