I'm a Full-Stack Data Scientist with 9+ years of experience designing, building, and maintaining AI applications, including Generative AI, that enhance customer experiences, optimize business processes, and provide insights that drive innovation and business growth. Currently based in Delhi, India.

• 🔭 Currently working at: Gartner as Senior Data Scientist
• 🧠 Specializing in: GenAI, MLOps, Predictive Modeling, and Large-Scale Data Pipelines
• 🚀 Recent Achievement: Built GenAI solutions that cut manual review time by 60% and saved 10,000+ person-hours monthly
• 💰 Business Impact: Generated $300k+ revenue through ML products at S&P Global
• 📫 Reach me at: [email protected]
• 🌱 Always learning: Latest in LLMs, MLOps, and Cloud Technologies

• 🤖 GenAI Leadership: Led multiple GenAI projects including Recruitment Studio with LLMs (Mixtral 8x7B, Llama2 70B)
• ⚡ Process Automation: Reduced ML workflow turnaround from 14 days to 4 hours
• 🔧 MLOps Excellence: Implemented robust MLOps framework via MLFlow, optimized PySpark pipelines (12 hours → 12 minutes)
• 📊 Business Intelligence: Built neural network-based workload index for 5,000+ sellers

• 💵 Revenue Generation: Pioneered Vehicle Miles Traveled product generating $300k in phase-1
• 🌍 Global Impact: Extended ML solutions to 20 global automotive markets
• ☁️ Cloud Architecture: Architected serverless CI/CD workflows on AWS
• 🕷️ Data Acquisition: Led team scraping 50+ websites, processing gigabytes of data

• 🔄 ETL Engineering: Built automated data pipelines from source to SAP BW
• 🤖 ML Integration: Replaced manual systems with Random Forest Classifier (200% speed increase)
• 🚀 Performance Optimization: Doubled performance metrics through REST API implementation

• 🤖 GenAI Innovation: Built LLM-powered recruitment tools reducing manual review time by 60%
• ⚡ Process Optimization: Accelerated ML workflows from 14 days to 4 hours
• 💰 Revenue Impact: Generated $300k+ through ML product development
• 🔧 Infrastructure Excellence: Optimized data pipelines from 12 hours to 12 minutes
• 🌍 Global Scale: Deployed ML solutions across 20+ international markets

• 🎓 BTech in Electronics & Communication - Delhi Technological University (2011-2015)
• 🤖 Machine Learning Nanodegree - Udacity (2019)
• 📊 Data Analyst Nanodegree - Udacity (2018)

• 🧠 Large Language Models: Fine-tuning and deployment of enterprise LLMs
• 🔧 MLOps: Building robust, scalable ML infrastructure
• 📊 Business Intelligence: Translating data insights into strategic decisions
• 🤖 Generative AI: Developing practical GenAI solutions for business challenges
• ☁️ Cloud Architecture: Designing serverless ML workflows

• 📝 Medium Articles: Sharing insights on Data Science and ML
• 🏆 Kaggle Contributions: Participating in ML competitions and datasets
• 🎤 Tech Talks: Speaking at data science meetups and conferences

💼 Open to exciting Data Science opportunities and collaborations!