1. Led a team of five data scientists and developers in developing forecasting and price-elasticity models for a leading CPG client, resulting in over 90% accuracy in monthly production-volume estimates and 4% reduction in trade spend across three major markets, respectively.2. Incorporated data analysis and predictive modeling techniques to optimize pricing recommendations for media-ad card rates for a major News Broadcasting network, resulting in recommendations within ±10% of market competitive rates.3. Supervised a web-based SaaS product, REV-X, utilizing clustering algorithms to identify target customer groups and track key performance indicators (KPIs) resulting in improved decision-making and reduced conversion timelines by 20%.4. Designed a Python-based pricing optimizer tool for a TV network, enabling maximum revenue generation from ad-campaigns while reducing computation time by 95%.5. Developed a proof-of-concept markdown optimization model for the largest footwear manufacturer and retailer in India, which identified slow-moving goods and boosted sales.6. Orchestrated successful client onboarding of major organizations onto Sagacito's flagship products –Y-MAX and REV-X, overseeing the training sessions of over one thousand professionals across multiple regions.

1. Financial Planning & Analysis: Administered sales target portfolios totalling 5000 Cr for forty national sales directors, employing comprehensive analysis to drive growth strategies for achieving 100 Cr of incremental annual revenue. Implemented yield targets for sales heads across brands, leveraging variance analysis to achieve 2% YoY growth in national yield. Reduced decision-making time by 80% with the help of live Tableau dashboards.2. Project Management: Spearheaded the development of the ad-pricing tool, Pricewise 2.0, as a data science analyst, leveraging regression techniques (Python/R) to optimize reco-rates for all major TOI brands across business verticals. Advised and strategized to achieve a remarkable 10% growth in language publication ad-sales, introducing innovative product solutions and employing consumer profile targeting to provide valuable insights for local and national advertisers. Generated incremental revenue exceeding 3 Cr through the implementation of advanced techniques, including: o Associative ML technique to create new competitive bundles. o Predictive Churn Analysis identify advertisers at risk of quarterly churn and conceptualizing effective retention strategies in collaboration with the business team.

Key Result Areas:❖ Handle full-time engagement for US geography.❖ Manage projects on gathering insights on the mail and parcel markets, building comprehensive analysis on estimated growth, market segments, key trends, market drivers, barriers to adoption and a competitive landscape of leading players across various segments and their initiatives.Significant Accomplishments:❖ Study on the US Mail Industry, which included market sizing of the domestic as well as the international market along with competitive landscape. Competitor Product and Technology benchmarking on various KPIs.❖ Designing a model to calculate the international and domestic courier, express and parcel market sizes around the globe.❖ Revenue break-up of major logistics service providers – DHL Express, FedEx Express and TNT Express – using their annual financial reports, by designing a highly advanced model.

Key Result Areas:❖ Carry out complex analysis on collected data and conducting business research using various sources❖ Integrate and analyse both internal and external data to support market intelligence and tactical decision making❖ Achieve efficiency in working and building both qualitative and quantitative research and insightsSignificant Accomplishments:❖ Supply chain mapping for various industries and companies to provide key insights and point out pain points in the process.❖ Courier, express and parcel (CEP) market sizing for countries spanning across the globe for a US based Express service provider.❖ In-depth India Logistics market sizing project for a major US based LSP.❖ Product and technology benchmarking process for top regional LSPs.❖ Study of key industries in Finland and analyze the upcoming trends by 2020 for the local postal service provider.❖ Advanced excel modeling and US express rates benchmarking for a US based logistics service provider.❖ Churn management process by analyzing the key customers of a US based express delivery service provider.❖ Industry intelligence reports and corporate sales battle cards for the Finnish postal service provider to help them gain the CEP market share in Nordic and Baltic regions.❖ Big data analysis and data sanitation process.