Subhadip Sarkar Email & Phone Number
@cognizant.com
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Who is Subhadip Sarkar? Overview
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Subhadip Sarkar is listed as Director Data Science @ Equifax | Machine Learning | Strategy Consulting | IIT Delhi at Equifax Canada, a company with 358 employees, based in Greater Toronto Area, Canada, Canada. AeroLeads shows a work email signal at cognizant.com and a matched LinkedIn profile for Subhadip Sarkar.
Subhadip Sarkar previously worked as Director Data Science at Equifax Canada and Data Science Manager at Equifax Canada Co.. Subhadip Sarkar holds Mba, Finance from Indian Institute Of Technology, Delhi.
Email format at Equifax Canada
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About Subhadip Sarkar
Seasoned Data Science professional with 12+ years of industry experience specializing in the development, testing and implementation of diverse analytical solutions – Credit & Fraud Risk models, Claims Reporting, Lifetime Loan Loss Forecasting, Strategic customer segmentation and key growth drivers analysis, Churn Models, Marketing spend ROI analyses, Promotion response modeling, Time series models, resource allocation decisions, multi-channel promotion optimization, Test group Control group matching, Inventory Optimization, Promotion sensitivity analysis for top multinationals in the Banking, Insurance, Pharmaceutical & Retail industry.Strong leadership and mentoring skills, strong team player, spearheaded & managed large delivery teams across multiple geographies, demonstrated analytical thought leadership, presented and communicated insights and recommended actions to business stakeholders resulting in process improvement & cost optimization for clients, new business opportunities.In-depth working knowledge on : Bank retail products and credit lending services, Stress testing, CCAR & DFAST framework, AIRB Modeling framework, IFRS-9 requirements, Credit Risk Management, PD,LGD, EAD Models/ Risk Management, Data Management, Customer Analytics, Promotion Optimization, Marketing Analytics, ROI Analysis, Customer Segmentation, Key Driver Analysis, Retail & Market basket Analytics, Credit Default Risk, Fraud application risk.Strong background in Machine learning and data mining with a broad understanding of supervised and unsupervised learning methods (Multivariate linear & logistic models, Survival Analysis, K-means & Hierarchical Clustering, KNN, Naive Bayes, Time series analysis, Decision Trees, Natural language processing & other traditional ML techniques, Dimensionality reduction techniques).Proficient in Python, SAS, PySpark, R, SQL, Tableau, MS Office, Jira, ConfluenceExperienced in end-to-end project management including project planning, change management, budgeting & effort estimation, resource management & utilization.Management graduate from IIT Delhi & Bachelor of Engineering from Bengal Engineering & Science University (erstwhile BE College, Shibpur, Howrah).Experience with U.S/ Canada/ India based clients: Citibank / KeyBank/ Manulife / First Data/ SunTrust / Santander Consumer USA / Shire Plc. /Boehringer Ingelheim/BBVA Bank / Lowe's etc.
Listed skills include Machine Learning, Big Data Analytics, Python, Sas, and 31 others.
Subhadip Sarkar's current company
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Subhadip Sarkar work experience
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Data Science Manager
Manager - Analytics
Disability Claims Integrity Analysis: Investigation & ranking of Multivariate outliers to detect fraud, lack of compliance in disability claims to enable development of outlier & fraud classification model for efficient claims management.Claims Reporting: Data aggregation, cleansing & preparation from multiple source systems & develop dashboards for.
Manager - Analytics
- KeyBank ( Aug 2017 - Dec 2018)
- CCAR Auto Model Development: Development & implementation of CCAR Auto Loan model (PD, PO, and LGD) to forecast monthly loan level loss (gross and net) & balance for active snapshot portfolio. The model utilizes loan.
- Model Testing & Sensitivity Analysis: Testing of existing CCAR models for extended CECL framework & performing sensitivity analysis on existing model risk parameters and macroeconomic factors to identify parameter.
Manager - Analytics
- SunTrust Banks USA (May 2017-Jul 2017)
- Customer Checking Churn Model: Identification of key drivers of checking account churn and customer risk profiling based on customer transaction, interactions & demographics dataSantander Consumer USA (June 2016-Apr.
- Auto Loan Loss Forecasting Model: Development of Loan loss forecasting model (PD, PP, LGD) to forecast full lifetime loan level loss (gross and net) & balance from time of origination. The model is based on competing.
Manager - Analytics
- First Data (Jan 2016 – May 2016)
- Credit Risk and Fraud Risk Model Development: Develop application fraud and credit risk model to predict "Fraud Application" risk and "Credit Default" risk during underwriting new merchant customers for a global.
- ROI Estimation: Estimated the Return on Investment (ROI) across various demographic & target segments to determine the impact of various promotional channels using Regression models as well as test-control methodology.
- Credit Card Analytics: Understand the key factors responsible for credit card customer acquisition & retention pricing through a thorough analysis of different drivers to help determine the Annual Percentage Rate.
- Real Time Offer Prediction for banks: Developed a multipurpose App for banking customers that harnesses the power of real time predictive algorithms (using advanced statistical models) for relevant offer presentment.
- Financial Gamification for banks: Used Time series forecasting Models on different benchmark indices to simulate customer returns across investment classes and to conceptualize & build a portfolio allocation &.
Senior Associate - Analytics
- Key Driver Analysis: Conducted strategic market segmentation(using K means and hierarchical clustering) for a top pharmaceutical client based on variation in managed care, physician characteristics, demographics &.
- Promotion Response Modeling: Analyzed various metrics affecting the sales of a leading brand for a top client, built a promotion response model(multiple linear regression model) and recommended optimized segment level.
- Cross-Sectional Clustering for strategic market segmentation based on variation in different parameters to help client understand market share behavior in terms of uncontrollable levers, followed by identification of.
- Multi-Channel Optimization(Market Mix Modeling): Evaluated multiple promotion and sales force scenarios by conducting multi-channel promotional impact analyses and model simulation for different budget and historical.
- Promotion distribution Optimization: Conducted promotional spend optimization using time series analysis & classic inventory theory (optimizes the total profit of providing too many vs. too few) for promotional coupon.
- Purchase Sequence and Market Basket Analysis: Analyzed the first purchase behavior (in terms of sales, transactions and accounts) and subsequent purchases of customers to help improve the sales and service of the.
Mba (Finance & Systems) Student
Consultant
- SAP ABAP Consultant
- Planning, development and implementation of customized business objects and reports in the ERP system to meet critical gap requirements of the client.
- Interface for client interaction and coordination for issue resolution and client team training during system handover
- Contributed to whitepapers on latest object development techniques for internal & client training
- Coordinated with functional team to understand business process requirements, and analyze feasibility of implementation
- Trained new team members on technological skills to facilitate quick resource turn around
Colleagues at Equifax Canada
Other employees you can reach at equifax.ca. View company contacts for 358 employees →
Peter Mcgregor, B.A., Cfe
Colleague at Equifax Canada
Toronto, Ontario, Canada, Canada
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CL
Corine Lemieux
Colleague at Equifax Canada
St-Lin, Quebec, Canada, Canada
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IE
Iliass Echabbi
Colleague at Equifax Canada
Casablanca-Settat, Morocco, Morocco
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PÁ
Pablo Álvarez Toro
Colleague at Equifax Canada
Ottawa, Ontario, Canada, Canada
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MP
Martin Pacheco
Colleague at Equifax Canada
Montreal, Quebec, Canada, Canada
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FR
Fowzia R.
Colleague at Equifax Canada
Montreal, Quebec, Canada, Canada
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KA
Kevin Anthony Picciotto
Colleague at Equifax Canada
Greater Montreal Metropolitan Area, Canada
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SG
Sal Grassa
Colleague at Equifax Canada
Greater Toronto Area, Canada, Canada
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SD
Steven Dion
Colleague at Equifax Canada
Montreal, Quebec, Canada, Canada
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BD
Brendan Dolke
Colleague at Equifax Canada
North York, Ontario, Canada, Canada
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Subhadip Sarkar education
Mba, Finance
B.E., Electronics & Tele-Communication
Ssc/Hsc, Mathematics And Statistics, 95%+
Frequently asked questions about Subhadip Sarkar
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What company does Subhadip Sarkar work for?
Subhadip Sarkar works for Equifax Canada.
What is Subhadip Sarkar's role at Equifax Canada?
Subhadip Sarkar is listed as Director Data Science @ Equifax | Machine Learning | Strategy Consulting | IIT Delhi at Equifax Canada.
What is Subhadip Sarkar's email address?
AeroLeads has found 2 work email signals at @cognizant.com for Subhadip Sarkar at Equifax Canada.
Where is Subhadip Sarkar based?
Subhadip Sarkar is based in Greater Toronto Area, Canada, Canada while working with Equifax Canada.
What companies has Subhadip Sarkar worked for?
Subhadip Sarkar has worked for Equifax Canada, Equifax Canada Co., Cognizant, Cognizant - Analytics, and Department Of Management Studies, Iit Delhi.
Who are Subhadip Sarkar's colleagues at Equifax Canada?
Subhadip Sarkar's colleagues at Equifax Canada include Peter Mcgregor, B.A., Cfe, Corine Lemieux, Iliass Echabbi, Pablo Álvarez Toro, and Martin Pacheco.
How can I contact Subhadip Sarkar?
You can use AeroLeads to view verified contact signals for Subhadip Sarkar at Equifax Canada, including work email, phone, and LinkedIn data when available.
What schools did Subhadip Sarkar attend?
Subhadip Sarkar holds Mba, Finance from Indian Institute Of Technology, Delhi.
What skills is Subhadip Sarkar known for?
Subhadip Sarkar is listed with skills including Machine Learning, Big Data Analytics, Python, Sas, Business Analysis, R, Random Forest, and Business Analytics.
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