Tarun Gajibimkar

Architected scalable backend microservices using Python and FastAPI, optimizing SQL queries to reduce data retrieval latency by 25%. Automated data extraction and evaluation pipelines by integrating LLMs via REST APIs, decreasing manual processing time by 40%.

Designed and deployed scalable backend systems using Python and FastAPI, building secure REST APIs with authentication and third-party integrations. Developed LLM-powered systems for conversational interfaces and document processing.

Optimized revenue tracking and operational efficiency by developing automated financial models and KPI dashboards in Excel and SQL, reducing reporting time by 15%. Spearheaded market expansion strategies through competitor benchmarking and sales data analysis.

Developed and optimized ML models using Python and Scikit-Learn, improving prediction accuracy through data preprocessing and feature engineering. Collaborated on end-to-end AI solutions from EDA to model deployment.

Processed and automated ETL pipelines using Python and SQL to handle large-scale datasets, driving business insights. Developed interactive Power BI dashboards to visualize key trends and reduce manual reporting time.

Grade: 7.2/10

Pursuing a Bachelor of Technology in Electronics and Communication Engineering with a CGPA of 7.2/10.