Key Contributions:1) Led the machine learning development for TEDAX (Tata Elxsi Data Analyticx), a project that won first prize under the IP category.2) Conducted classification and regression analysis to identify the top 5 performing models for the given data using FASTAPI. Applied MLOPS for the same, using containerization(docker) techniques and kubernetes3) Automated the process of generating graphs for classification, regression, and hyperparameter tuning.4) Applied NLP techniques to perform sentiment analysis for connected car applications, creating compelling visualizations to present the results.5) Authored a comprehensive research paper documenting the innovative sentiment analysis approach, which was again patented where nobody has used this approach receiving exceptional feedback for the work.6) Developing(going on) a full fledged sentiment analysis web application using CI/CD pipelines to gather and analyze reviews and comments from various sources, including social media sites, WhatsApp documents, and Google Play Store application reviews.7) Developed a custom chatbot using ChatGPT for car user manuals8) Developed visually appealing graphs to make the stakeholders understand the problems that is being faced by the cars

Data scientist working as an intern at Ai Variant company. Specializes in machine learning, natural language processing, deep learning. Interested in getting very good insights and patterns from the data.