Project Data

Email: *****.******@*****.***

SAGAR S Ph No:+919*********

CAREER OBJECTIVE

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)

CURRENT STATUS:

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

JOB PROFILE:

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.

SELECTED PROJECTS:

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

PREVIOUS EMPLOYMENT:

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

SELECTED PROJECTS:

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

SELECTED PROJECTS:

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

TNS-Scorecard

Associated with Marketics Technologiesbetween 2006 – June 2007

SELECTED PROJECTS:

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

ACADEMIC QUALIFICATION

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

PERSONAL DETAILS

Nationality: Indian

Marital Status: Married

Sex: Male

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