Jul 2022 – Nov 2024 · 2 yrs 4 mos · Pune, Maharashtra, India

• Orchestrated strategic initiatives within the Pricing and Marketing Analytics Business unit, overseeing client delivery and performance in the forecasting and optimization domain; achieved a 10% increase in client retention.
• Spearheaded Demand Forecasting initiative and built Time Series algorithms that gained accuracy by 10%, resulting in a 15% decrease in stockouts and a 10% increase in revenue.
• Implemented a data-driven K-means clustering model to segment stores by performance levels, leading to a 20% advance in inventory management efficiency for high-performing stores and a 30% reduction in stockouts for low-performing stores.
• Collaborated with Application support team consultants to streamline business processes, which led to a 20% decrease in service request turnaround time and upgraded customer satisfaction scores.
• Directed the creation of state-of-the-art alert mechanisms through shell scripting and Docker technology; slashed response time by 10% and drove substantial time savings.
• Optimized ETL workflow by collaborating with Data Engineering teams, identifying, and rectifying inefficiencies, resulting in a 15% reduction in data processing time and a 10% enhancement in data accuracy and integrity.
• Applied a KNN Regression algorithm to estimate sales forecasts for new style color combinations; achieved a boost in forecasting accuracy, resulting in optimized inventory management and increased revenue.
• Crafted and upheld an advanced Data Drift detection tool through the application of Statistical testing and inference techniques.
• The Data Drift Tool initiative led to a notable 10% decrease in cloud computation costs for the organization.
• Designed multiple linear regression models to understand the promotional effects on sales and helped clients to build promotional strategies.

Feb 2021 – Jul 2022 · 1 yr 5 mos