1. Leading A Call classification module and it’s expansion to other business.2. Implementing Innovative solutions to code base to make a sustainable code base.

1. Developed a summarisation solution for a conversational transcript, which leads to improved accuracy in predicting caller reason.2. Conducted session on LLMs and It’s usage, SparkNLP and scalable solutions.3. Developed end to end pipeline of category prediction using RAG based approach.

1. Patent on Precision medicine filled to US patent board: US20240185974A12. Working on diverse projects which include model making, data-driven insights and automating pipelines to integrate machine learning models using Gradient Boosting Machine(GBM), Random Forest, and XGBoost.3. Automated a manual literature mining of Table extraction and Biomarker extraction using Spacy automated models and Semantic dependency parsing Algorithm.4. Successfully delivered 2-3 client projects, and implemented CNN, AutoEncoders, and tree-based algorithms.5. Developed predictive Biomarkers for the selection of a treatment for a patient population using ML-based features extraction algorithms.

1. Worked on End-to-End Huggingface Transformer model for chemical smile activity prediction with a use-case of classification & regression.2. Developed a literature mining algorithm based on syntactical relationships using TF-IDF-based scoring.

1. Worked on customer analytics, Competitive analytics. had hands-on experience in data engineering tool Apache PySpark for big data analytics. 2. We developed a model to extract similar products for onboarded sellers from the company's database using Apache Spark and SQLalchemy.3. We built a category model for a particular marketplace product to provide a hierarchical category of an individual product.4. Led a team of five people to develop a word corpus for each marketplace and develop a WordtoVec model.

1. I worked as a Data analyst intern, analyzed data extracted from different devices, and designed a model with the specific parameters to predict functional parameters in a crystallizer for industrial use.2. Coordinated statistical data analysis, design, and information flow.3. Created and improved intelligence resources to facilitate the consistent production of jaggery.4. Developed a model for predicting the correct crystallizer size from the experiment data.

Worked as a lead developer, develop a prototype of Biogas plant in a confined area, Analyzed our model for a certain period and tried to predict a profitable business plan.