Headline

Data Analyst & AI Engineer | Generative AI & LLMs | Python, SQL, Power BI | Machine Learning & Statistical Analysis | Predictive Analytics

About

Data professional bridging advanced analytics, machine learning, and Generative AI to deliver actionable business insights and intelligent systems. Experienced in transforming raw, complex datasets into strategic decisions while designing end-to-end ML and LLM-powered applications. 🔹 Data Analytics & Business Intelligence: • Exploratory Data Analysis (EDA) & Data Cleaning • Advanced SQL Querying & Database Management • Interactive Dashboards & KPI Reporting (Power BI) • Statistical Analysis, Hypothesis Testing & Business Metrics 🔹 Artificial Intelligence & Machine Learning: • Predictive Modeling, Classification & Regression (Scikit-learn) • Generative AI & Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) & Vector Search • NLP Pipelines & LangChain Framework 🔹 Technical Toolkit: • Languages: Python (Pandas, NumPy, Scikit-learn), SQL • BI & Visualization: Power BI, Matplotlib, Seaborn • AI & Frameworks: LangChain, Hugging Face, Transformers • Developer Tools: Git, GitHub, FastAPI Open to opportunities across Data Analytics, Business Intelligence, Data Science, and AI Engineering.

Location

India

AI stack

gemini

langchain

langgraph

huggingface

LlamaIndex

OpenRouter

Work experience

Generative AI & Data Analytics Trainee at iNeuron.ai, Nov 2024 - Apr 2026 · 1 yr 6 mos, • Engineered end-to-end Generative AI, RAG pipelines, and LLM applications using LangChain, vector databases (ChromaDB, FAISS), and Python. • Developed robust data ingestion and preprocessing pipelines to clean, normalize, and structure unstructured datasets for semantic search and analytical workflows. • Formulated quantitative evaluation frameworks to measure model precision, latency, retrieval relevance, and system accuracy across edge cases. • Deployed scalable API endpoints using FastAPI and created analytical monitoring workflows to evaluate performance metrics and inference behavior. • Conducted comparative analyses across prompt strategies and model checkpoints to optimize cost, latency, and predictive performance.

Data Scientist at The Sparks Foundation, Jun 2024 - Jul 2024 · 2 mos, Remote, • Completed task-based projects focusing on Exploratory Data Analysis (EDA) and Business Analytics using Python (Pandas, NumPy). • Cleaned raw datasets, handled missing values, and performed univariate and bivariate statistical analyses to detect trends and patterns. • Built clear visual charts using Matplotlib and Seaborn to communicate project findings and analytical conclusions. • Developed baseline predictive models using Scikit-learn to validate hypothesis driven analytical questions.

Analytical Chemist at BRL, May 2021 - Nov 2023 · 2 yrs 7 mos, Gujarat, India, • Monitored and verified industrial quality control (QC) data across high volume production batches, ensuring compliance and data integrity. • Performed statistical data interpretation, root cause analysis, and variance tracking to minimize process deviations and improve consistency. • Documented, audited, and maintained quantitative analytical reports, standardizing testing metrics across internal teams.

Education

Master of Science - MS, Analytical Chemistry, Dr. Babasaheb Ambedkar Marathwada University (BAMU), Aurangabad

Master of Social Science, Chemistry, Dr. Babasaheb Ambedkar Marathwada University

Public links

github: https://github.com/jay-p007