With over 4 year in data science and a Master’s in AI and Machine Learning, I excel in data analysis, statistical and languge modeling, hypothesis testing & NLP. As a Certified Google Data Analyst, I have catalyzed growth and delivered strategic value in healthcare, e-commerce, and finance through transformative projects. My expertise in model optimization and fine-tuning advanced AI LLMs drives significant gains in forecasting accuracy and operational efficiency.
0 + Projects completed
Machine Learning Engineer with 4+ years experience architecting AI solutions (generative AI, NLP, LLMs). Proven track record of 30% performance improvements and $1.2M+ revenue growth through AWS, Docker, and MLOps implementations.
Enterprise clients required multi-channel AI solutions handling 10k+ daily interactions across voice/text inputs.
Develop multimodal AI pipeline supporting English/Hindi languages with <35s response time.
Immigration firm faced 40% query response delays handling 500+ daily cases across 25 countries.
Automate legal document analysis with <90% accuracy while reducing response time by 30%.
25% monthly customer churn impacting $800k annual revenue in healthcare SaaS platform.
Identify churn drivers from 2M+ transaction records and recommend retention strategies.
Farmers experienced 30% crop loss due to delayed disease detection in 100k+ acres.
Develop real-time crop health system processing 20TB+ satellite imagery.
GPA: 3.6/4
GPA: 3.8/4
Demonstrated Expertise
Below are my key projects in Machine Learning, NLP, Generative AI, and Data Analytics, leveraging technologies such as LLMs, SQL, Python, AWS, Tableau, and advanced ML techniques.
Built an e-commerce recommendation system with Flask, using content-based and collaborative filtering for personalized suggestions, boosting user engagement and product discovery.
Applied Generative AI LLMs to develop seamless customer engagement chatbots for healthcare, immigration, finance, retail, and automated outreach solutions.
Developed a Tableau dashboard for Reliance Retail to analyze sales (2020-2023), tracking KPIs like total sales, profit margins, units sold, customer acquisition, and YoY growth.
Used multiple machine learning models to forecast sales (retail store) and performed time series analysis.
Developed a ML model to give various recommendations of financial products & services on target customer groups.
Developed a YOLOv5 system for real-time detection and classification of safety hazards on construction sites, improving worker safety
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