EXECUTIVE PROFILE SUMMARY:

• Advanced Analytics & Data Science professional with 10 years of rich experience in solving end - to-end business problems through quantitative data driven consultative solutions.
• Hands on experience in large scale data and business analysis in BFSI and Retail industry in areas of Customer, Marketing, Loyalty, Strategy & Performance Analytics, Testing and Measurement.
• Experienced in handling client facing roles, stakeholder management, and effective communication with presentation & negotiation skills.
• Hands on project management with team size of 4 to 6 using Jira tool.
• Key member of core team accountable for BU growth, competency development, defining go-to-market strategy & service offerings (pre-sales and sales activities) and product management.

SKILLS:

Statistical Techniques: Machine Learning, Linear, Lasso, Ridge, Logistic Regression, Elastic net, K-Means clustering, CHAID/CART, RFM Segmentation, Time Series Forecasting.

Technical Skills: R, Python, Hive, PySpark, SAS, SQL, Teradata, DOMO, QlikView, Tableau, Git, Jira, VBA.

Behavioural Skills: Team Building, Quick Learner, Communication, Ability to Work under Pressure, Adaptability.

PROFESSIONAL EXPERIENCE:

Lead (Manager), Advance Analytics & Data Science

Confidential

Responsibilities:

• Lead scrum team in agile framework and own a product to solve strategy and planning problem for better decision making.
• Developed a forecasting model for sales at store level (stl in R) to increase forecast accuracy.
• Built attribution model to identify and measure impact of external, internal factors and strategic initiatives on sales using elastic net algorithm (glmnet in R). Hyper tuned the parameters for best alpha using grid search. Created infographic to showcase model results to CXO’s level.
• Scaling attribution and forecasting model at category level in PySpark environment.
• Financial Retail Services - Product Design and Marketing Analytics -
• Propensity to purchase model to optimize activation of credit and debit cards using logistic regression.
• Provide analytical solutions to Confidential ’s loyalty card - Red Card (credit and debit) to strengthen guest loyalty, drive retail sales and maximize profitability through exceptional enterprise services and payment solutions.
• Testing and Measurement - Creating test groups by match pair analysis, analysing the results post campaign and track ROI.

Senior Consultant, Advance Analytics Advisory

Confidential

Responsibilities:

• Credit risk and collection analytics
• Developed a decision tree model to identify the predictors of higher defaults.
• Developed rule based strategy to Confidential .
• Key member of core team accountable for BU growth, competency development, defining go-to-market strategy & service offerings (pre-sales and sales activities).

Lead BA, Analytics Advisory Services

Confidential

Responsibilities:

• Conceptualizing solutions for specific business problem and designing products / dashboards / solutions with scalability. Creating, owning and continuously improving it.
• Closely working with consulting teams in understanding their requirements and setting up a strategy to convert the strategic concept into analytical products / solutions for better decision making for senior management.
• Objective was to limit the bank’s exposure to “soft attrition” among their low value mass banking portfolio.
• Logistic regression model to identify drivers leading to churn and customers at high risk. Event-based triggers to identify high risky customers in real time.
• Debit card marketing analytics which includes strategies for increasing debit card penetration, activation and utilization (PAU). Two stage segmentation / clustering of cardholders based on usage, spend and spending pattern in MCCs. Responsible for creating strategies to maximize the response rate/ ROI of the Campaign.
• Predictive model / Response Model built to Confidential low usage segments for higher utilization (1.8x lift in top 3 deciles). 70% ROI achieved in first two months of direct mailing initiatives.
• Analysed profitability of Confidential and compared registered and non-registered customers and how registered customers increase their transactions after registering themselves (pre and post registration analysis).
• Conceptualized and developed interactive BI System (developed on QlikView) to provide insights on customers, product, account penetration, deposit growth, product usage, loan growth (approvals/declines), channel usage and branch performance. Full integration with bank’s core and 3rd party systems for daily data refresh. Built an attrition propensity model (Logistic Regression).
• Achievements - Conceptualized and developed the POC that resulted in the final sale. Actively involved in pre and post sales activities. Sale resulted in Revenue of 600K USD for Confidential .

Business Analyst

Confidential

Responsibilities:

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• Deliver projects, ad-hoc analysis, reports starting from data extraction through summarization, analysis, modeling and presentation of findings, recommendation in Marketing Analytics - Pricing Analytics - Credit Cards (Consumer Banking).
• Analysis on metrics such as interest rates (apr), waiver policy, late fees, grace days etc.

Analyst

Confidential

Responsibilities:

• Conducting pricing planning and documentation studies for clients to meet with the pricing obligations either in-country or global.
• Proficient in databases like Prowess, Capitaline, Amadeus, Oriana, Bloomberg, Thomson, OneSource, Moody’s Risk Calc and other internal databases for comparable searches and financial analysis.