Adnan s

Data Science Intern

Chennai 0+ yrs exp 82 · Excellent

About

Data Science graduate student with industry experience building AI-powered enterprise applications, scalable data pipelines, and cloud analytics platforms. Skilled in Python, SQL, FastAPI, PostgreSQL, MongoDB, ClickHouse, Azure, AWS, Docker, Machine Learning, and ETL workflows.

Skills & Expertise (31)

Python Intermediate

7.5/10

0.5

Years Exp

FastAPI Intermediate

7.0/10

0.5

Years Exp

SQL Intermediate

6.5/10

0.5

Years Exp

Postgresql Intermediate

6.5/10

0.5

Years Exp

PyTorch Intermediate

6.0/10

0.5

Years Exp

Docker Intermediate

6.0/10

0.5

Years Exp

Git Intermediate

6.0/10

0.5

Years Exp

Azure Intermediate

6.0/10

0.5

Years Exp

AWS Intermediate

6.0/10

0.5

Years Exp

TensorFlow Intermediate

6.0/10

0.5

Years Exp

scikit-learn Intermediate

6.0/10

0.5

Years Exp

React Intermediate

6.0/10

0.5

Years Exp

MongoDb Intermediate

6.0/10

0.5

Years Exp

ETL Intermediate

5.5/10

0.5

Years Exp

GenAI Intermediate

5.5/10

0.5

Years Exp

REST APIs Intermediate

5.5/10

0.5

Years Exp

ClickHouse Intermediate

5.5/10

0.5

Years Exp

Matplotlib Intermediate

5.0/10

0.5

Years Exp

Power BI Intermediate

5.0/10

0.5

Years Exp

Tableau Intermediate

5.0/10

0.5

Years Exp

Advanced Excel Intermediate

5.0/10

0.5

Years Exp

Data Modeling Intermediate

5.0/10

0.5

Years Exp

Data Warehousing Intermediate

5.0/10

0.5

Years Exp

Seaborn Intermediate

5.0/10

0.5

Years Exp

ArcGIS Intermediate

4.5/10

0.5

Years Exp

SQLite Ollama MySql MATLAB Streamlit LangChain

Work Experience

Data Science Intern

BigTapp Analytics Pvt. Ltd.

Feb 2026 - Present

Developed enterprise AI solutions across RM Companion and CloudUnity using Python, FastAPI, React, PostgreSQL, Docker, MongoDB, and ClickHouse. Designed and enhanced Azure and AWS cloud-cost ingestion pipelines, enabling scalable FinOps analytics, resource ownership tracking, and cost optimization. Improved AI-powered Client 360, Copilot, Meeting Briefs, and Next Best Action (NBA) workflows by integrating enterprise data and intelligent backend services. Built Dockerized deployments, validated ETL pipelines, and performed end-to-end testing for production-ready demonstrations and feature releases.

Data/Backend Summer Intern

Visteon Electronics

Jun 2023 - Jul 2023

Developed backend architecture for an electronic component finder using Python, MySQL, and SQLite. Implemented efficient search, retrieval, and similarity matching algorithms. Designed optimized relational database schemas for electronic component datasets.