PRASUN CHAKRABORTY Part Sleuth. Part Storyteller. Professional with 12 years of experience in Consulting, Advanced Analytics & Market Research prasunc.mail@gmail.com +917980927547 Profile Summary My experience as Business Insights professional spans across Consulting, Analytics & Market research. I bring to the table data driven systemic view of business - its fears and hopes; challenges and opportunities Proven acumen in leveraging data and data science tools to answer What? When? Where? Why? and How? of Marketing, Sales, Distribution, Supply chain, CRM & HR functions among others Experience across different roles –client servicing with revenue ownership, delivery manager, quality champion, analytics modeller among others Expertise includes engaging with c-suite, solution designing, proposal creation, Thought leadership and various aspect of project management viz. stakeholder, deliverable & knowledge management Tool agonistic professional with considerable exposure to SPSS Modeller, Python, R, SQL and advance statistical concepts for executing statistical analytics and manipulating multiple data marts Career Timeline Key Clients Served Core Competencies Business Consulting Advanced Analytics/ML/AI Market Research Retail Measurement servicing Stakeholder Management Delivery/ Talent Management Skills Statistical/Analytics/MR concepts Sampling, Hypothesis testing, decision trees/ random forest, Bayesian theorem, PCA analysis, factor analysis Questionnaire designing, Segmentation techniques, Correlation, Regression techniques (Linear, multiple, logistic, etc.), time series, DOE, Clustering/ Segmentation techniques, Factor analysis, Principle component analysis among others Databases Experience in working with range of databases Like Nielsen retail store audit/ Advisor, POS, HHP, Brand health studies, spends promotions, shipment, feedback, Macro/ Publicly available databases, Social media data, campaign data, CRM data, HR data, BFSI data like cash credit, Deposit, loans, Credit cards, Mutual funds, Securities, LI/GI etc. Tools/ Techniques Hands-on modeling and data manipulation experience in SPSS modeler, R and SQL. Familiarity with SAS, Python & Tableau. Professional proficiency in MS Suite Key analytics/ research projects New product Development, Product testing, Demand Forecasting, Inventory optimizer, Predictive maintenance Optimized crew/ production schedule, Distribution Synergies, Demand Forecasting, Procurement analytics Real Estate Hot spot identification, Pricing/ Promotions analytics, Marketing Mix Modelling, Brand health, Market basket analysis, Assortment/Must stock SKUs/Key value items, campaign tracking & optimization, Call center analytics, Dormancy reactivation, Churn/ customer attrition modelling, Relationship development through cross/Up sell, Customer usage forecasting, Sentiment analysis, Brand switcher prediction model, Customer life time value, HR Analytics among others Organization Experience IBM, Pune (May’16 onwards) Data Scientist Key Responsibilities Include: Leading intelligence for YONO@SBI – Digital initiative for fortune 500 Indian Public Sector Bank (State Bank of India) with a vision to provide single platform for Lifestyle and Banking Spotting analytics opportunities, showcasing business value and providing technical consultation to execute data driven initiatives Engaging with C-Suite client stake holders and ensuring their concerns & queries are addressed timely CRISIL, Pune (Sept’13– May’16) Manager, Corporate Data Analytics Key Responsibilities Include: Developing analytics business plan/ strategies with analytics business head/other BUs, co-lateral creation (offering deck, website content, whitepapers, work samples, blogs, responding to RFPs etc.) stakeholder management, solution designing & knowledge management among others. Development, Implementation & overall management of modeling & reporting solutions The Nielsen Company, Vadodara/ Kolkata (June’07– Aug’13) Analyst to manager – Various roles, Advanced Analytics Key Responsibilities Include: Joined Nielsen Advanced Analytics team, leading MNC clients on their information and insights needs, led setup of NielsenTCS cost efficiency hub for one of the practice areas called EnReach at Nielsen, catering to clients around the world . Academic Details Master of Business administration in Marketing & Finance (2007) BSc. With specialization in Mathematics with Statistics (2003) References available upon requests Refer annexure for project details Annexure Key projects/assignments /roles (illustrative list only) Analytics Consultant for the largest PSU Bank of India and associated JVs (LI/GI/Cards, MFs and securities) Providing thought leadership, technical consultation and leading intelligence for one of India’s biggest Digital Banking initiatives. Accountable for bridging the gap between business demands and technology capabilities and making sure the right practices and patterns are put in place from analytics standpoint to tackle business challenges. Client servicing for the largest CPG client in India Leading client engagement with revenue ownership for top Indian FMCG client around traditional trade. This included creating proposal/ pitches/ co-coordinating with delivery teams for execution of projects like assortment optimization, distribution synergies, category forecasting, marketing mix optimization, and price & promotion studies among others. Leading knowledge transfer & set up for Nielsen-TCS cost efficiency hub Led setup of Nielsen-TCS cost efficient center for one of the practice areas called EnReach. The role included Onboarding analysts/ research managers, grooming them into SMEs to enable them to execute projects worth 50% of total revenue of the region. Cross/ Up sale models for leading US pet food retailer Built algorithm to calculate the cross-sale / up-sale potential of the customers using customer response data.This helped us identify list of customers with high/ low probability to respond to particular campaign. Customer feedback analytics for understanding drivers/ drainers of customer satisfaction for global software & services client Unstructured Customer feedback data (free flowing text) was translated, processed & mined using NLP followed by creation of semantics to arrive at issue buckets & understand drivers/ drainers of customer satisfaction. NPS and CSAT was also arrived at for all levels of geography, products, services, & categories to quantify customer satisfaction Market sizing & Optimizing sales force deployment for US Industrial tools Manufacturer Forecasted industry & own sales at different levels of granularity using Hierarchical linear regression methods followed by sizing gaps between estimated market size & own sales at different levels of granularity (vertical/county).Based on this & using saturation curves recommended optimal sales force deployment to bridge the gap Employee attrition model and Early warning system for internal consumption (HR analytics) Using different databases like employee profile data, internal surveys data, and HR data to identify drivers / drainers of employee attrition through logistic regression model. This model was further used to develop early warning system to indicate employee segments with Hi-Mid-Low propensity to attrite
