Available for full-time roles

Hello, I'm Theepan Kumar Gandhi

I'm a
Data Scientist & ML Engineer

Student Practicum Internship Projects Ready for full-time

I turn messy data into insights and build intelligent systems that drive business value.

0+ Projects Built
0% Top-k Retrieval
0+ Years Exp
0 Certifications
Theepan Kumar Gandhi
About

About Me

I'm a Data Scientist and recent Master's graduate from Illinois Institute of Technology, with hands-on experience building intelligent systems across machine learning, NLP, deep learning, and multimodal search.

I specialize in taking projects from raw data to production - whether that's a RAG pipeline, a multi-agent system, or a real-time recommendation engine.

My stack includes Python, PyTorch, TensorFlow, Hugging Face, FAISS, AWS, Docker, and Kubernetes focused on scalable, deployable solutions that drive real business value.

25+Projects Built
3Years Experience
6Certifications
92%Top-k Retrieval

Tools & Technologies

Python

Python

RStudio

RStudio

SQL

SQL

Hopsworks

Hopsworks

Pinecone

Pinecone

AWS

AWS

Docker

Docker

Kubernetes

Kubernetes

KServe

KServe

Power BI

Power BI

Tableau

Tableau

Flask

Flask

Django

Django

GitHub

GitHub

Packages & Libraries

Scikit-learn

Scikit-learn

TensorFlow

TensorFlow

Keras

Keras

HF Transformers

HF Transformers

Sentence Transformers

Sentence Transformers

FAISS

FAISS

Pandas

Pandas

NumPy

NumPy

SpaCy

SpaCy

SHAP

SHAP

Background

Education & Experience

Education

2024–2025

Master's in Data Science

Illinois Institute of Technology

Coursework focused on Machine Learning, Deep Learning, Artificial Intelligence, and Database Management. Applied academic knowledge to real-world problem solving and building practical, data-driven solutions.

2018–2023

Integrated MSc Data Science

Coimbatore Institute of Technology

Strong skills in Data Structures, Algorithms, Machine Learning, and programming in Python and R. Applied practical projects to build adaptive solutions.

Experience

Jan 2025 – April 2025

Data Science Practicum

Pure Platform, Chicago, USA
  • Built multimodal product search engine using CLIP and BM25 for unified input handling.
  • Improved accuracy (92% top-k) and speed (5x) using HNSW + PCA + cluster reranking.
  • Designed Streamlit frontend supporting voice/image/text input with fusion sliders.
  • Integrated Real-ESRGAN for blur enhancement, and auto-query fallback logic.
  • Enabled dynamic FAISS index updates and recent search history logging for scalable search experience.
Jan 2023 – May 2023

Machine Learning Intern

Peculiaar Automation Solutions, India
  • Developed a deep learning attendance system using Convolutional and Siamese Networks for facial recognition.
  • Automated 70% of manual attendance tracking, streamlining HR operations in complex environments.
  • Integrated MySQL for secure and efficient record management with seamless access control.
  • Tools Used: Python, MySQL, Django, TensorFlow, Scikit-learn, Machine Learning, Excel, PowerPoint, Power BI, GitHub.
Jun 2021 – Nov 2021

Machine Learning Intern

Optisol Business Solutions, India
  • Contributed to INNOVOEDGE, a system for real-time network telemetry data processing and insight extraction.
  • Built a high-performance prediction engine and a data prefetcher to support timely forecasting from diverse real-time streams.
  • Designed scalable APIs for seamless integration with enterprise systems and external applications.
  • Boosted retrieval speed by 30% through optimized workflows and scalable analytics pipelines.
Expertise

What I Do

Machine Learning Solutions

Designing and deploying custom ML models for predictive analytics, classification, and intelligent automation.

Data Analytics & Visualization

Transforming raw data into actionable insights using dashboards and visual storytelling with Power BI and Tableau.

NLP Applications

Building NLP pipelines for tasks like text classification, semantic search, chatbots, and information extraction.

Recommendation Systems

Developing personalized recommendation engines using collaborative filtering and deep learning approaches.

Model Deployment & MLOps

End-to-end deployment of ML models using Docker, Kubernetes, and AWS with scalable pipelines.

Vector Search & Semantic Retrieval

Implementing vector-based search using FAISS or Pinecone for similarity search and Retrieval-Augmented Generation (RAG).

Data Preprocessing & Feature Engineering

Cleaning, transforming, and engineering features to maximize model performance and business relevance.

API & Web App Integration

Integrating ML models into web apps using Flask, FastAPI, or Streamlit for real-time inference.

Work

Recent Projects

Credentials

Certifications

DeepLearning.AI

Sequence Models

Jan 13, 2023

View Certificate
DeepLearning.AI

Neural Networks and Deep Learning

Dec 11, 2022

View Certificate
DeepLearning.AI

Improving Deep Neural Networks

Dec 26, 2022

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DeepLearning.AI

Structuring Machine Learning Projects

Jan 3, 2023

View Certificate
University of Michigan

Applied Data Science with Python

Dec 23, 2022

View Certificate
DeepLearning.AI

Convolutional Neural Networks

Jan 23, 2023

View Certificate
Connect

Contact Me

Call Me On

+1 (312) 545-5215

Residence

Chicago, IL

Get in Touch

Send Me an Email