Theepan Kumar Gandhi

Hello, my name is Theepan Kumar Gandhi

I'm an aspiring

Student -> Practicum -> Internship -> Projects -> Ready for full-time

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

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15+ End-to-End Projects
92% Top-k Retrieval
ML + NLP Production Focus
Theepan Kumar Gandhi

About Me

I'm Theepan Kumar Gandhi and a Data Science enthusiast graduate student at Illinois Institute of Technology with hands-on experience in machine learning, NLP, deep learning, and multimodal systems. I actively work with Python libraries such as Scikit-learn, TensorFlow, PyTorch, NLTK, SpaCy, and Hugging Face Transformers to build intelligent and scalable solutions. My toolkit also includes SQL, Power BI, AWS, SageMaker, and Apache Spark for data processing, visualization, and deployment at scale.

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

Education & Experience

Education

2024-2025

Master's in Data Science

Recently graduated with a Master’s degree from the Illinois Institute of Technology, with coursework focused on Machine Learning, Deep Learning, Artificial Intelligence, and Database Management. Skilled at applying academic knowledge to real-world problem solving and building practical, data-driven solutions.

2018-2023

Integrated MSc Data Science

Graduated from Coimbatore Institute of Technology with 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, Coimbatore, 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, Coimbatore, 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.

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.

Recent Projects :

Certifications

Sequence Models

Issued by: DeepLearning.AI

Date: Jan 13, 2023

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Neural Networks and Deep Learning

Issued by: DeepLearning.AI

Date: Dec 11, 2022

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Improving Deep Neural Networks

Issued by: DeepLearning.AI

Date: Dec 26, 2022

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Structuring Machine Learning Projects

Issued by: DeepLearning.AI

Date: Jan 3, 2023

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Applied Data Science with Python

Issued by: University of Michigan

Date: Dec 23, 2022

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Convolutional Neural Networks

Issued by: DeepLearning.AI

Date: Jan 23, 2023

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Contact Me

Call Me On

+1 (312) 545-5215

Residence

Chicago, IL

Send Me an Email