Dikshansh Raipure

Lead Strategist and Business Advisor @ IICPC

Business and Brand Management

• Successfully completed a data analyst internship, contributing to real-world projects and honing skills in data preprocessing, visualization, statistical analysis, and predictive modeling. • Developed an end-to-end machine learning model to forecast electricity demand using advanced feature engineering and the XGBoost algorithm, achieving strong predictive accuracy (RMSE: ~175, MAE: ~123). • Created business dashboards and visualizations to communicate analytical insights effectively, and followed best practices in dashboard and report design (Power BI/Tableau, Figma - UI Enhancement). • Recognized as a Best Performer for commitment, analytical thinking, and professionalism throughout the program.

• Analyzed real-world telemetry data from Daikibo, using Tableau to identify and visualize machine downtime patterns across multiple factories • Developed calculated fields and interactive Tableau dashboards, including downtime analysis by factory and device type, enabling dynamic filtering and actionable operational insights. • Automated the classification of employee compensation data in Excel by designing a logic-based framework to categorize equality scores, supporting HR analytics and reporting on fairness and discrimination.

Led a team of frontend developers, overseeing the development of the MVP website and ensuring alignment with project goals. Drove key decisions for the MVP website’s development and user experience, ensuring a seamless and functional design. Designed and created prototypes for website pages, providing a structured framework for developers to follow. Regularly reported progress and key milestones to the co-founder, ensuring transparency and efficient decision-making.

Resolved a User Interface issue in the Ofline App within two weeks of joining, enhancing user experience. Improved the frame and visibility of the product variant listing on the Ofline App for better usability.