Heading analytics practice for one of the biggest social media giants.Subject matter expert in Gen AI, Machine learning, AI, and advanced analytics

Heading the data science capability team in India. Developed Skense platform that extracts and contextualizes unstructured data from scratch that led to over 10 strategic accounts win for WNS. Other notable work was leading the data analytics delivery for a top 50 CPG company for digitalization of LIMS documents. Multiple other delivery of analytics work including machine learning and deep learning

https://www.wnsdecisionpoint.com/our-teamI lead a team of Data Scientist in Analytics Innovation Consulting (AIC) group to drive Innovation and Growth Strategy. AIC is a part of Research and Strategy division of WNS Analytics. I am involved in delivering client PoC in diverse field utilizing Advanced Analytics, Big data and Deep learning models. I am also involved in devising and developing blueprints to improve customer experience journey and creating innovative analytics-as-a-service offerings for different vertical such as Insurance, Energy and Utility,Travel, BFS

Class of 2017 (ISB Dean's list (5th in the class)-Execute large scale models using Logistic Regression, Linear Models Family (Poisson models, Survival models, Hierarchical models, Naïve-Bayesian estimators), Conjoint Analysis, Spatial models, Time-series models, Text mining. 1. Experience with some of these methods: Regression, Decision Trees, CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Fuzzy Systems, Bayesian Belief Networks, Support Vector Machines, Ensemble Methods, Association Rules, Singular Value Decomposition, Principal Component Analysis, Clustering.-Machine Learning Algorithms, Decision Tree, Random Forest, SVM, Naive Bayes, Neural Network, Linear and Logistic Regression, Multinomial regression, Cluster analysis, Factor analysis, CHAID, Discriminant analysis, Structural Equation Modeling (SEM)

-Experienced in data analysis, data mining, mathematical modeling and programming, statistical analysis, forecasting/predictive modeling, simulations, optimization, visualizations, machine learning, etc.-Developing PoC on Big data platform like Spark, MlLib, Spark Sql, Spark Graph, Hive,Pig-Creating dashboard reports using BI tools such as Tableau, Power BI-Ability to work with ambiguous problem definitions, recognize dependencies and deliver impactful solutions through logical problem solving and technical ideations

Worked in Process Advisory group and dealing in projects related to process consulting, Process transformation , digital transformation and business intelligence, data analytics, text mining-Worked on the BFSI sector-Conducting diagnosis of the operation and identified several digital transformation opportunities. . -Developed VSM for each process and conducted Gemba walk to understand current operation and benchmarked with best in operation to provide recommendation.-Worked on Data analysis using Tableau to understand revenue leakage. -Liaise with various CX level people and successfully provided recommendation to cut down cost of operation. -Developed fraud model for detecting fraudulent claims during assessment

Competitive Intelligence -Responsible for researching various companies’ footprint and forecast future direction. -Proficient in conducting market analysis, financial analysis and intellectual property research and crunching this information to provide meaningful insight. Data Analytics-Proficient in descriptive and inferential statistics like hypothesis testing, decision trees, clustering, Linear Regression, Logistics regression to understand any pattern in the data and predict future trends.-Proficient in handling various BI tools like Tableau to provide compelling story telling to understand any hidden trends in the data and provide recommendation. -Experience in dealing with ambiguity and comes with logical solution in a wide range of problems pertaining to business