Prasannakumar Dhage Email & Phone Number

Leading a team, fostering client relationships, and developing innovative strategies to achieve business objectives▸ Conducted Customer Segmentation by creating customer profiles based on demographic and sales behavior using k-means algorithm and heuristics. The resulting segmentation strategy has yielded an increase in Incremental Revenue and Conversion Rate.▸ To ensure effective decision-making when it comes to audience segment selection, I have developed a comprehensive A/B testing framework. This framework provides clear comparisons of different audience segments, allowing us to make data-driven decisions that maximize overall results.▸ Further, I have designed and implemented a personalized product recommendation system that utilizes advanced deep learning algorithms such as LSTM. By predicting the next best product based on customer sales behavior and purchase patterns.

Bengaluru, Karnataka, India

▸ As the key team member, I successfully optimized price and promotion strategies by leveraging machine learning models. This approach resulted in a significant 8% increase in company revenue.▸ To start with, I first conducted a thorough analysis of historical sales data to identify the key factors affecting product demand forecasting. Based on these insights, I developed robust forecasting models that achieved an impressive 86% accuracy, enabling us to make data-driven price and promotion decisions.▸ To further enhance our forecasting capabilities, I designed and developed the New Product Launch Simulator Tool. This tool utilized advanced machine learning algorithms to accurately forecast demand for new products across diverse markets. 4 new products were successfully launched in the market using this tool which clearly demonstrates the effectiveness of this capability.▸ Additionally, I conducted a detailed analysis of product cannibalization effects, providing valuable insights into product development and profitability.

▸ Implemented robust time-series forecasting models which accurately predicted natural gas prices with a window of 82% to 91% accuracy for the next seven-day forecast. This enabled stakeholders to make informed decisions and increase profitability for the company.▸ Built a classification model that predicted the occurrence of specific events. This model provided valuable insights into the likelihood of various outcomes, helping clients make informed business decisions.▸ To streamline the data collection and analysis process, I leveraged my Python skills to scrape data from various platforms and automate the daily flow of data from third-party platforms to Google Big Query.▸ Further, I designed and developed a user-friendly dashboard in Power BI that visualized forecasted Natural Gas prices and various other Key Performance Indicators for traders and stakeholders.

Bengaluru, Karnataka, India

▸ As part of my responsibilities, I conducted an extensive analysis of Kylin and Druid data stores. After careful consideration, selected Apache Druid for its superior analytical capabilities and fast query performance to power Tableau for efficient slice-and-dice analytics on large datasets, resulting in a 10x faster query time. This, in turn, enabled end-users to make faster decisions and increase productivity.▸ To further streamline the data ingestion and processing pipelines, I designed end-to-end automated pipelines using a range of Hadoop tools and frameworks. This approach allowed for a more efficient and reliable data processing workflow, enhancing the quality and speed of data analysis.▸ In addition, I developed a machine learning model to effectively target potential customers for digital coupons, which led to a significant increase in overall digital adoption. By leveraging the propensity model, we achieved a 40% increase in the redemption rate, while also boosting digital engagement for these users.