Ankit Shaw

Background

About Ankit Shaw

9 years of work experience in the Data Science and analytics industry for the Banking and Financial services domain with a stronghold over predictive modelling and forecasting techniques. Expertise in R, Python, SAS, Excel, SQL and Hive. Domain expertise in Financial Crime Risk, Credit Risk and lending analytics Key responsibilities - Stakeholder interaction and management of service delivery. Analyse the trend of recent fraudulent or suspicious activities and recommend the senior leadership ways to mitigate them; Building Machine Learning models that can help the business in acquiring new credit card customers; Design frameworks and applications for analytics, implement and integrate them in the systems; Develop models for pricing and risk management of derivatives securities; Understand the market drivers behind market moves and their cross-asset and cross-market implications; Liaise with technology to generate ideas for more effective risk management via hedging strategies and portfolio optimizations. Open to relocating at any location. Skillsets: • Machine Learning: Logistic Regression, Local polynomial regression, Decision Trees, Random Forests, Gradient Boosting, Naïve Bayes, Support Vector Machine, Clustering, Lasso, Time series analysis • Programming languages: R, Python SAS, SQL, Excel VBA, Hive • NLP - Vectorization of words, Naïve Bayes Classifier, TF-IDF scaling, Sentiment analysis, Parts of speech analysis and Name/Entity Extraction, Topic Modeling. • Data mining tools: R Studio, SAS Enterprise guide, MS Excel(Data Analysis) • Databases: Microsoft SQL Server, Hive • Data visualization: MS Excel