Pavithra Veerapathiran

Generative AI Engineer · Data Science Professional.

Chennai, Tamil Nadu, India

@pavijanu2001

LinkedIn GitHub

0 followers

About

Generative AI and data science professional with experience in machine learning, LLM applications, RAG, predictive analytics, and business intelligence. Hands-on in Python, SQL, Power BI, and deployment-oriented ML workflows for enterprise data solutions.

Experience

Generative AI Engineer

Technocolabs Softwares Inc

Aug 2026 – Present

Developing enterprise-focused GenAI solutions using RAG architecture, embeddings, vector retrieval, semantic search, and LLM workflows. Defining retrieval scope for structured versus unstructured data, building AI assistant prototypes, reviewing data quality, and documenting KPI, architecture, and GenAI risk considerations.
Operations Analyst Intern, Global Custody Tax

BNP Paribas

Apr 2026 – Aug 2026

Supported Benefit at Source, Reclaim, and Refund processes through document validation, reconciliation, operational data tracking, discrepancy investigation, and stakeholder coordination. Reviewed Certificate of Residence, beneficiary certificates, fiscal documentation, and market-specific tax forms; maintained trackers for pending requirements, client follow-ups, case status, and approved refund details while supporting data accuracy and compliance.
Data Scientist Trainee

Technocolabs Softwares Inc

May 2025 – Apr 2026

Developed machine-learning pipelines for financial risk and startup analytics. Performed data cleaning, exploratory data analysis, feature engineering, classification/regression modeling, validation, and performance optimization using Python and Scikit-learn.
Power BI Developer Trainee

Intermetrics Solutions

Apr 2025 – May 2025

Designed interactive dashboards using Power BI, SQL, and DAX for KPI monitoring, business reporting, trend analysis, and data-driven decision support.
Junior Data Scientist Intern

Coapps.ai

Jan 2024 – Apr 2024

Worked on Python-based data preprocessing, exploratory analysis, feature engineering, visualization, predictive modeling, and exposure to data engineering and ML deployment workflows.

Education

Executive PG

iHub IIT Roorkee

Data Science & AI · 2024 – 2025
B.Tech

Jerusalem College of Engineering

Information Technology · 2020 – 2024

Skills

1 to 2 years

Machine Learning Feature Engineering

3 to 6 months

RAG Embeddings Semantic Search Prompt Engineering Generative AI (ChatGPT, Copilot, Gemini)

<3 months

SQL DAX LLMs NumPy Flask Python Pandas FastAPI Streamlit Statistics scikit-learn Data Analysis Deep Learning Multi-Agent Ai Model Evaluation Vector Databases Recommendation Systems Natural Language Processing

Tools / apps / platforms

<3 months

Git Docker Microsoft Power BI

Projects

Netflix Recommendation System

Implemented collaborative-filtering techniques to generate personalized content recommendations.
Startup Acquisition Prediction ML Pipeline

Built an end-to-end predictive workflow covering preprocessing, feature engineering, model training, validation, and performance tuning.
P2P Lending Financial Risk Prediction

Developed classification models to identify high-risk borrowers using preprocessing, feature engineering, imbalance handling, and model evaluation.
Open-Source Contribution - Hive Multi-Agent Framework

Implemented an agent execution logger and documented runtime control flow for a multi-agent AI framework.
RAG-Based Semantic Retrieval System

Built embedding pipelines, vector database retrieval, similarity search, and knowledge-grounded LLM retrieval workflows for enterprise information access.

Courses & certifications

Great Learning Tableau · Great Learning
Great Learning Project Management · Great Learning
NPTEL Software Testing · NPTEL
NPTEL Organizational Behaviour · NPTEL

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