1. Dynamic Pricing (Python, ML, Statistics, Visualisation): - Played key role in a Proof of Concept (PoC) initiative for implementing Dynamic Pricing strategies within the automobile industry.- Applied Machine Learning algorithms to analyze historical sales data and market trends to develop pricing models.- Collaborated with cross-functional teams to identify key pricing factors and implement logical frameworks for dynamic pricing adjustments.Conducted rigorous testing and validation to ensure the effectiveness and accuracy of the pricing models.- Successfully demonstrated the feasibility and potential impact of dynamic pricing strategies on revenue optimization and customer satisfaction.Presented findings and recommendations to stakeholders, driving discussions and decision-making processes.- Contributed to the development of scalable solutions for integrating dynamic pricing capabilities into existing systems and workflows.2. Claims Validation Features Update (Python, NLP, SQL)—Industry : Automobile and Manufacturing- Designed and Developed features to include in the code which improved the accuracy of the existing model.- The feature helped the client to increase 10% savings in warranty claims.3. Dashboard and Reporting Support (OBIEE, Client Handling, Informatica, SQL):—Industry : Finance and Supply Chain- Automated Dashboards which helped in saving 10 man hours per month- Interacted with clients and designed and developed reports according to their needs- 0 Breaches and Escalations

Worked on tools Oracle BI and Informatica.Created Dashboards, Data Analysis, Data Extraction.Daily flow of data around 10M records.

Advisor, Training & Placement Cell at IKGPTU, Main Campus