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    Sirshendu Maiti

    Facebook, Decision Science Manager

    Sirshendu Maiti is a seasoned Data Scientist with over 10 years of experience working with Global Banking & eCommerce Giants, focusing on both Matured (US/UK) and Emerging Markets. He has managed in-business and offshore analytics functions during his tenure.

    Sirshendu holds a BStat & MStat from the Indian Statistical Institute and possesses in-depth knowledge of Statistics. He has expertise in various Statistical/Predictive Modeling techniques, including Parametric and Non-parametric methods, Cutting-edge Machine Learning techniques, and Big Data analytics applied across various business domains.

    His leadership skills shine through his experience in hiring, mentoring, and leading high-performance Data Science engineering teams. He has overseen functions supporting A/B testing, Statistical Modeling, Metric evaluation, and Research projects on Auction behavior.

    As a Subject Matter Expert, Sirshendu has led statistical modeling initiatives across eBay's different functions, including Buyer's Experience, Site Speed, Engagement, Seller & Risk Analytics at the India Analytics Center.

    Having engaged with Barclays Bank's Product, Portfolio Management, Sales, and Marketing heads, Sirshendu has designed algorithms for Differential Pricing Recommendation, Cost optimization, Profitability segmentation, and Customer life cycle management.

    He has played a pivotal role as a modeling lead in eBay's project to predict the impact of a cyber-attack on password resets of engaged users and its effect on GMV. Additionally, he was the analytics lead for the Exit Strategy/Valuation of Barclays India's $1Bn Retail Assets portfolio, where he conceptualized a Monte Carlo simulation model for predicting Portfolio Rundown Curve.

    Sirshendu's specialties encompass a wide range of areas, including Credit Scoring, Asset Valuation, P&L Forecasting, Model Evaluation, and Machine Learning using various techniques like GLM, Random Forest, Regularized Logistic Model, GBM, SVM, k-NN. He is also well-versed in Monte Carlo Simulation, Principal Component Analysis, SVD, Time Series models like SARIMA/GARCH, Stochastic models, Survival Analysis, and Clustering, along with expertise in Experimentation methods like A/B testing, Multivariate testing, and Non-parametric testing. His proficiency extends to Bayesian Nonparametric methods.

    In terms of technical skills, Sirshendu is proficient in Python, SAS, R, Matlab, S-Plus, SPSS, SQL, Hadoop/HIVE, SparkR, and PySpark. His special interests lie in TensorFlow, Deep Learning, and NLP.

    Sirshendu Maiti
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    Location

    San Francisco Bay Area