Responsibilities:♦ Oversee a team of data science professionals to handle analytics operations for the collection recovery department, delivering high-value solutions enabling stakeholders to improve collection recovery processes ♦ Conceptualise and implement channel mix and collection recovery strategy optimization projects, resulting in a huge recovery of collections ♦ Work in close coordination with stakeholders to develop, refine and scale data management and analytics… Show more Responsibilities:♦ Oversee a team of data science professionals to handle analytics operations for the collection recovery department, delivering high-value solutions enabling stakeholders to improve collection recovery processes ♦ Conceptualise and implement channel mix and collection recovery strategy optimization projects, resulting in a huge recovery of collections ♦ Work in close coordination with stakeholders to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues♦ Guide team members for integrating data analysis efforts to produce accurate, efficient, and timely key insights, data reporting models, key deliverables and management reports ♦ Engage teammates across the agency to identify new and improved pathways for data-powered solutions♦ Thoroughly analyze data trends and patterns to offer insights and interpretation to stakeholders Show less

Responsibilities:♦ Provided strategic leadership to Marketing Sciences Division for managing multiple data analytics teams working on different projects for FMCG, financial, pharmacy and beverages clients♦ Closely interfaced with clients for understanding their requirements, analyzing business processes, performing innovative research and designing data science-oriented solutions/models to support their marketing activities ♦ Recognized for mentoring, training and grooming a team… Show more Responsibilities:♦ Provided strategic leadership to Marketing Sciences Division for managing multiple data analytics teams working on different projects for FMCG, financial, pharmacy and beverages clients♦ Closely interfaced with clients for understanding their requirements, analyzing business processes, performing innovative research and designing data science-oriented solutions/models to support their marketing activities ♦ Recognized for mentoring, training and grooming a team of 14 data science resources to work above their potential ♦ Analyzed the profile of prospective clients and convinced them with verified results in the data science domain, winning big multi-crore projects for the organization ♦ Worked in close coordination with internal and client teams for designing and implementing data science models to optimize key workflows, streamlining marketing resources for the clients Show less

Responsibilities:♦ Guided and mentored data and analytics team for handling multiple analytics projects which involves requirements gathering, researching relevant data and modelling complex systems, discovering insights and presenting solutions using statistical, algorithmic and visualization techniques♦ Facilitated senior management with key recommendations on business processes after conducting a thorough analysis♦ Held operational leadership in collecting, cleansing, and… Show more Responsibilities:♦ Guided and mentored data and analytics team for handling multiple analytics projects which involves requirements gathering, researching relevant data and modelling complex systems, discovering insights and presenting solutions using statistical, algorithmic and visualization techniques♦ Facilitated senior management with key recommendations on business processes after conducting a thorough analysis♦ Held operational leadership in collecting, cleansing, and delivering models and analysis of structured and unstructured data for significant process improvement initiatives ♦ Adopted the best practices around diagnostic, predictive and prescriptive analytics while integrating data from multiple sources and selecting the best fit solution as per the client’s requirements ♦ Also reviewed project financials, ensuring successful completion of the projects within the approved budget ♦ Ensured solutions are designed for performance, reliability, scalability, maintainability, supportability while leveraging the industry's best practices Show less

Responsibilities:Major projects handled:♦ Market Share Forecasting for New Brand Launch - Leading Global Retail♦ Marketing Mix Models (MMM)- Leading Global Retail♦ Category Forecasting - Leading Retail ♦ Customer Analytics (Brand Engagement Score -BES) - Leading Global Retail♦ Customer Analytics (Response Modelling) - Leading Global Retail Highlights:♦ Involved in solution and delivery of large data science projects for leading FMCG clients, end-to-end… Show more Responsibilities:Major projects handled:♦ Market Share Forecasting for New Brand Launch - Leading Global Retail♦ Marketing Mix Models (MMM)- Leading Global Retail♦ Category Forecasting - Leading Retail ♦ Customer Analytics (Brand Engagement Score -BES) - Leading Global Retail♦ Customer Analytics (Response Modelling) - Leading Global Retail Highlights:♦ Involved in solution and delivery of large data science projects for leading FMCG clients, end-to-end project management, people management and stakeholder management♦ Played a key role in Group M - Gain Theory including client engagement, successfully winning large commercial Projects♦ Administered a large team of Data Science professional including 10 Managers/Sr. Managers♦ Drove projects to measure forecast accuracy, reduce inventory, etc. Show less

Responsibilities:Major projects handled:♦ Project: Customer Analytics – (Overseas experience) - product affinity models for cross-sell/up-sell recommendations, product propensity models, Customer segmentation models including, Churn Model (Prepaid and postpaid) and Next Best Product (NBP) model, Customer Life Time Value Model (CLTV) | Client: A leading Australian telecom♦ Project: Customer Analytics - Customer Segmentation, cross-sell/up-sell models, Churn models (voluntary and… Show more Responsibilities:Major projects handled:♦ Project: Customer Analytics – (Overseas experience) - product affinity models for cross-sell/up-sell recommendations, product propensity models, Customer segmentation models including, Churn Model (Prepaid and postpaid) and Next Best Product (NBP) model, Customer Life Time Value Model (CLTV) | Client: A leading Australian telecom♦ Project: Customer Analytics - Customer Segmentation, cross-sell/up-sell models, Churn models (voluntary and involuntary) - Leading Indian sub-continental Telecom clients♦ Project: MMM and Promotional uplift models – Leading German FMCG Project ♦ Sales/Pre-sales support and RFP – Leading Indian BanksHighlights:♦ Customer Analytics Framework Development – Developed Analytics Framework (Segmentation, Churn and CLTV) for CoE♦ Establishment of Marketing Mix Modeling set-up♦ Introduced a process driven 3-stage modeling approach such as Baseline Estimation, Promotional Uplift Estimation, Cross Category Cannibalization to perform in German FMCG Project ♦ Developed customer retention strategy that included customer segmentation, churn analysis Show less

Responsibilities:Major projects handled:♦ Project: Marketing Mix Modeling, ROI and Investment Optimization | Client: Leading Global Financial Services ♦ Project: Promotional Uplift Modeling, Cannibalization Modeling | Client: Leading UK Retail♦ Project: Marketing Mix Modeling (MMM) | Client: Leading Global Telecom Company♦ Project: Marketing Mix Modeling | Client: Leading Global FMCG Company♦ Project: Sales Forecasting | Client: Largest Off-Price Retailer… Show more Responsibilities:Major projects handled:♦ Project: Marketing Mix Modeling, ROI and Investment Optimization | Client: Leading Global Financial Services ♦ Project: Promotional Uplift Modeling, Cannibalization Modeling | Client: Leading UK Retail♦ Project: Marketing Mix Modeling (MMM) | Client: Leading Global Telecom Company♦ Project: Marketing Mix Modeling | Client: Leading Global FMCG Company♦ Project: Sales Forecasting | Client: Largest Off-Price Retailer, USA♦ Project: Analytics tool development – ROI/Investment Optimization - InternalHighlights:♦ Projected the efficiency of the marketing activities (standard MROI analysis) in uplifting sales, optimizing the investment allocations♦ Analytics tool development – ROI/Investment optimization♦ Performed analysis including data harmonization, econometric (category & attribute) modeling and non-linear mathematical optimization and so on♦ Assessed the effectiveness of key marketing activities in different product groups across various sales channels Show less

Responsibilities:Major projects handled:♦ Project: Healthcare Analytics - Bed requirement forecasting, daily admission Trend Analysis etc. – Pharma Client♦ Project: Drug Efficacy Studies-Data QA and validation, data processing, imputation and outlier detection, variable/feature selectionHighlights:♦ The profile involved Simple Data analysis using Regression Techniques in statistical software like SPSS, Minitab and MATLAB etc. to study drug efficacy♦ I also worked as… Show more Responsibilities:Major projects handled:♦ Project: Healthcare Analytics - Bed requirement forecasting, daily admission Trend Analysis etc. – Pharma Client♦ Project: Drug Efficacy Studies-Data QA and validation, data processing, imputation and outlier detection, variable/feature selectionHighlights:♦ The profile involved Simple Data analysis using Regression Techniques in statistical software like SPSS, Minitab and MATLAB etc. to study drug efficacy♦ I also worked as a software instructor to my team Show less