Manas Agarwal

About Manas Agarwal

Data Scientist with 2 years of experience delivering end-to-end projects using machine learning, deep learning, and Generative AI. Skilled in techniques like RAG, fine-tuning LLMs, and designing agent-based systems to solve real-world problems. Highly motivated with strong problem-solving skills and a proven ability to drive business value through AI solutions.

Experience

1. Data Analyst

   Phenom

   Nov 2023 — Present · Hyderabad, IN

   Fine Tuned Qwen-0.6B model using Q-LORA to automate resume shortlisting against job description to improve recruiter efficiency and reduce time to hire, achieving an accuracy of 94.38%.• Built an agentic pipeline integrating MongoDB MCP server to enable non-technical users to query multiple databases using natural language.• Built an NLP pipeline to classify 500+ JIRA tickets using Sentence Embeddings, UMAP, and HDBSCAN, applying BERTopic & OpenAI API for topic modeling, reducing manual triaging by ̃3 hours/week.• Identified key churn factors from 10 years of data using Random Forest, boosting ROC-AUC from 0.75 to 0.80 with SMOTE & GridSearchCV, and pinpointing 8 critical predictors.• Performed EDA on onboarding & product usage data using PostgreSQL, MongoDB and Python, identifying inefficiencies that cut onboarding time by 12% and reduced service requests by 10%.• Developed real-time KPI dashboards to track Adoption, Onboarding, and HEART metrics, improving data-driven decision-making and reducing developer dependency by 35%.

Education

• Jawaharlal Nehru University

  B.Tech + M.Tech [5 year Dual Degree Integrated Course]

  2018 — 2023