Data Science professional with a history of exceeding targets utilizing consistent and organized practices for driving revenue growth and brand penetration.
Hired, mentored, and managed teams to deliver best in class AI / ML and advance analytical solutions using Python, R, SQL, SAS, AWS and bigdata platform
Domain expertise across Retail, Consumer Packaged Goods, Banking & Financial, Insurance and Hospitality industry
Overview
18
18
years of professional experience
Work History
Director of Data Science
Signet Jewelers Inc.
07.2022 - 03.2024
Designed, executed and delivered Strategic Insight Model to understand macroeconomic impact on monthly sales . Model optimization helped in reporting macro impact on sales forecast to plan critical business strategy decisions.
Implemented AWS AI model for classifying repair Images into various segment. Model optimization accomplished 100% classification rate compared to 10% manual process.
Utilized machine learning model to identify high potential customer for specific banner category using transaction and customer data.
Strengthened internal analytical team by facilitating cross-functional collaboration for improved decision-making processes within organization.
Developed high-performing teams by providing mentorship, guidance, and opportunities for professional growth.
Data Science Consultant / Co-Founder
Devise Math Solutions
10.2017 - 08.2019
Provided optimized pricing solution for B2B retailer developing pricing strategy model using regression and segmentation.
Designed, developed and maintained analytical report for financial company to track sales performance by various segments.
Employed advance quantitative methods for definition, development, and management of customer relationship strategies.
Stayed current with industry trends and emerging technologies by attending conferences and workshops, ensuring the application of cutting-edge techniques in all projects.
Managed multiple simultaneous projects while maintaining high quality standards and meeting strict deadlines under pressure situations.
Lead Data Scientist
MindTree Ltd, Bangalore
03.2016 - 03.2017
Developed up-sell model using segmentation and logistic regression/Random-forest for SKU recommendation which helped client in prioritizing product for salesman to target on monthly basis. Automated model helped in scaling recommendation for 15 countries
Built and implemented collaborative filtering model for various products to increase product penetration and cross-sell. Model Automation helped in identifying top affinity products in real time.
Implemented robust machine learning pipelines to automate processes and enable real-time decision support capabilities for key stakeholders.
Identified opportunities for cost reductions by analyzing operational inefficiencies using advanced analytical methods.
Manager - Analytics & Reporting
Affine Analytics Private
11.2014 - 11.2015
Helped client in designing customized campaigns, coupons, and promotions for different member segments to induce favorable migration using segmentation, driver analysis and path analysis
Identified at-risk and opportunity areas for leading retailer by predicting acquisitions, membership base and sales for next 10 years to aid decision making.
Managed multiple projects concurrently, ensuring timely completion within budget constraints.
Enhanced data-driven decision making by developing and implementing advanced analytics strategies.
Analytics Manager
Mu Sigma Business Solutions
10.2010 - 03.2013
Designed multi-channel e-fulfillment engine that allocates orders to retail stores based on complex business rules for custom critical daily operations. Accurate real time business data was captured by measuring scaling of ship from store initiative.
Lead Dashboard development that provided critical insights into order pattern by weekday, by hour of day enabling labor planning. Directly impacted improvements to fulfillment percentage measurements including highest fulfilled/unfulfilled UPCs allowing departments to make decisions based on real time data.
Designed and implemented Sales forecasting model to project monthly sales for different strategic business units thus enabling proactive risk management by studying volatility and competitiveness in market.
Optimized supply chain management by leveraging advanced analytics models that identified bottlenecks and inefficiencies in existing processes.
Mentored junior analysts in application of statistical methods, elevating their analytical skills and contributing to team success.
Analytics Manager
WNS Global Services
08.2009 - 10.2010
Developed Score Card using survey data to expose association of attributes across brands for client brand and its key competitors. Perceptual mapping and correspondence analysis were used to drive improvement with accurate comparison to competitors.
Derived secondary implications of satisfaction score by projecting impact on branch financial performance and instantiated Predictive relationship of financials with customer satisfaction by Derived metrics that improved trend analysis in branch performance based on satisfaction rating.
Championed a data-driven culture by training team members on best practices for data visualization and storytelling techniques, fostering effective communication of analytical findings.
Assistant Manager
Infosys Technologies
12.2008 - 08.2009
Designed and implemented up-selling model for predictive identification of members with multi-property stay propensity. Designed loyalty program through stay propensity classification by employing Logistic and Discriminant analysis. Devised implementation strategy to determine test and control groups and provided tracking templates to evaluate model.
Predictive scoring was critically employed to identify target members who stay in distinct properties thereby dramatically increasing the response rate to offers.
Supervised day-to-day operations to meet performance, quality and service expectations.
Senior Business Analyst
Mu Sigma Business Solutions
03.2006 - 12.2008
Developed automation of modeling in SAS to build product propensity model for B2B technology company.
CHAID segmentation technique was employed to identify key business drivers/profiles conducive to higher response rate. Intermediate tracking indicated 100% lift in response rate using new target strategy over current method used by client
Improved project efficiency by analyzing business processes and identifying areas for improvement.
Education
Master of Science - Statistics
Bangalore University
Bangalore, India
06.2004
Bachelor of Science - Maths, Statistics, Computer Science