Based in Bangalore, my role involves boosting chatbot performance and user engagement through data analysis. I refine content recommendations by extracting actionable insights from large datasets and enhance SEO visibility by integrating high-traffic queries. My responsibilities also include data validation, classification, testing, visualization, and creating training datasets for classifiers. I've conducted comprehensive statistical analysis of SEO data, optimized LLM performance, and identified query vulnerabilities. I've developed over 300 training cases for classifier accuracy and analyzed 200+ test cases for accurate data reporting. I leverage Kibana/OpenSearch dashboards for data-driven insights and provide strategic insights to senior management. Additionally, I use Power BI for user engagement analysis.
Located in Bangalore.
Based in Gandhinagar.
Based in Ahmedabad.
Located in Saharanpur.
Extracted insights from customer purchase history using RFM score analysis and segmented customers to aid targeted marketing strategies.
Analyzed weekly sales data considering factors like unemployment rate and consumer price index. Developed an Exponential Smoothing predictive model for sales forecasting.
Developed a recommendation engine using cosine similarity on 'The Movies Dataset' from Kaggle. Analyzed user preferences and watch history to suggest personalized movie recommendations.
Predicted thermodynamical stability and formation energy using PyCaret. Analyzed feature importance in crystal systems data.
Designed an e-book (Flexbooks) for CBSE syllabus focused on 6th to 10th grade Chemistry.
Gold Medalist for securing highest marks in M.Sc. at CCS University.
All-India rank of 382 in Joint entrance exam of 'CSIR-UGC National Eligibility Test (NET)' in 2010.
Authored the book "Spices: An Eco-friendly Corrosion Inhibitor for Aluminium".