Data Scientist

Contributed to web applications using Python for backend services, integrating REST APIs, and developing the application’s UI using frontend technologies. Integrated continuous integration workflows for reliable data deployments. Automated the salary process for 1,400 schools, reducing manual workload and increasing efficiency by 80%, and integrated AI-driven microservices with a lightweight ML model to flag outliers using historical data.

Prepared training data for the Machine Learning model by annotating the essential attributes in the 250-plus documents. Fine-tuned the OpenAI model (GPT-3.5) parameters using the HSN dataset. Trained a machine learning model on HSN documents using the Langchain framework. Created an EwayBill module using HTML, CSS and Angular to streamline and automate filling out the E-waybills form, reducing the manual workload.

Analysed and processed Indian address data, transformed it into a structured format, assigned precise geo-coordinates, and clustered locations. Demonstrated the potential of machine learning algorithms to cluster geographic coordinates, leading to 25% reductions in transportation costs and improved delivery times. Utilised version control systems to maintain and deploy data workflows.