SAGAR S Ph No:+919*********
To apply my knowledge in Data Science and professional expertise in statistical modeling, strategy building, risk optimization, Machine learning in resolving business problems in an organization that values leadership, creativity, diversity of thought and provides opportunity to grow.
PROFESSIONAL EXPERIENCE (Total Exp- 12.7+Years)
Associated with HSBC as data Scientist (AVP) in advanced analytics team. Working on ML model guidelines, model Interpretability, Creating ML roadmap for business. Also, Part of training Material creation & consulting to ML projects.
Data warehouse & Tools used: Teradata, SQL server, MS Access
Visualization Tools: Tableau
Statistical Tools used: R, SAS, SPSS Modeler, Python
Perform predictive modeling exercises by extensive using of SAS and SAS –EMINER, SAS VIYA
Experienced inSAS BI (OLAP CUBE, STORE PROCESS, WEB SERVICE)
Use statistical techniques like Segmentation, CHAID, logistic, MBA, Econometric forecast and business domain knowledge to build up different Sales optimizing strategies for Retail products.
Worked on Cross-selling, Churn, Scorecard Development, fraud analytics modeling in Financial & Telecom Domain.
Worked on Optimize Click-path, AttributionmodelandRecommendationin
E-Commerce domain using clickstream data.
Hands on experience onMachine Learning Algorithms- Bag of words, SVM, RF, GBM, XGBoost, Ensembles Models, H2O Deep learningusing R.
Worked on Text Classification, Sentiment analysis & Topic modeling for unstructured data.
Involved in end to end project management including analysis of business performance, identification of in-scope areas, proposal of new projects, design & development of analysis and delivery & implementation of analytical solution design.
Train new team members on technical & business domain knowledge and provide guidance to the juniors.
Industry: Online Retail (Buyer performance Segments) (Technique: Cluster Analysis)
Project: The task is to segment the Buyer into various performance segments based on the 90 days transaction pattern, buyer’s feedback, disputes & claims against them by using clustering & profiling. To helps in customers discount programs & offerings as well as act on Promotional effectiveness, buying habit for the respective sets of Buyers
Industry: Retail (Technique: Affinity Analysis& Collaborative filtering)
Project: Worked on Differential MBA to identify product affinity and improve promotional effectiveness in the Retail Store& also used CF methodology for recommendation on specific product segment choice data
Industry: BSFI(Technique: Text Mining)
Project: Worked on Text Classification & Topic Modeling on live chat data using R
Industry: Advertisement (Technique: BOW& Random Forest)
Project: Developed a prediction engine for the salary of any UK job ad, which help
employers & Jobseekers to figure out the market worth of different positions, also
improveuser experience for job searching.
Industry: BSFI(Technique: GBM)
Project: Worked on First party fraud prediction for card accounts & built initial loss prevention strategy
Worked as a consultant for STC(Saudi) forRepeat failure model &CHB analysis
Associated with Capgemini between 2012 - 2017
Associated with Satvik Management Consulting(Dubai) between April’10 &2012
Industry: Census 2011 Abu Dhabi - Statistics Center of Abu-Dhabi (GOVT.)
Project: Build a SAS Interface for Table builder and Community Table for 2011 census using
SASOLAP CUBE, then generating Xml to provide a user selection panel of data and created
Dynamic MDX query to provide Data for Tools. Also created store process and web-service
for sas codes.
Associated with GENPACT between July’07 & March’10
Worked on loan & credit card portfolios forUS market and built collection strategy on the
risk profile for delinquent customers.
Worked with EBay & Pay-pal APAC Team, mainly involved in Fraud Analytics (UNIX-SAS)
& build strategies for the EBay Online seller & Buyers. Also build up Monthly
Associated with Marketics Technologiesbetween 2006 – June 2007
AP-JP-STG Propensity to Buy (PTB) Models for 2007 (Cross-selling)
Project: Develop a prioritized list of Cross-sell accounts based on propensity to buy for STG
Products to Support JP sales and marketing tactics with targeted lists
Year 2011: SAS Certified Base Programmer for SAS 9
Year 2011:SPSS Statistics certified
Year 2009: Certification of General Management,IIM LUCKNOW
Year 2006: M.SC in APPLIED STATISTICS & INFORMATICS from IIT BOMBAY
Year 2004: B.SC in Mathematics from Narendrapur Ramakrishna Mission Residential College
Marital Status: Married