Data Scientist · ML Engineer

Kirtankumar Parekh

Building end-to-end ML systems and data products that turn complex problems into actionable insights.

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About Me

Background in data science and machine learning.

About Kirtankumar Parekh

Data science and machine learning focused on practical, measurable outcomes.

Master of Science candidate in Data Science at DePaul University with a strong foundation in machine learning, statistical modeling, and Python development. I work across the full pipeline — from data preparation and model training to deployment-ready applications.

Recent work includes RAG-based document QA, CNN classifiers, regression modeling on real-world datasets, and Flask web applications. I collaborate effectively in team settings and communicate technical results clearly to both technical and non-technical audiences.

Professional Experience

Jan 2024 - Apr 2024

Venom Technologies

Python Developer Intern
  • Developed a lightweight web application (Grocery Store Management System) for small-scale grocery store owners.
  • Implemented core CRUD operations for products, customer orders, and categories.
  • Utilized Flask and Python for backend development, integrated with a MySQL database, and Bootstrap for the frontend UI.
Jun 2023 - Jul 2023

EDUNET Foundation in collaboration with AICTE

Artificial Intelligence Intern
  • Successfully completed a 6-week internship via IBM's Skills Build Platform.
  • Gained foundational knowledge in AI and ML, including algorithms like Linear Regression and Logistic Regression.
  • Contributed to the "Mental Fitness Tracker" project, training regression models on mental health data (1990-2020) from over 150 countries.
Aug 2022 - Jan 2023

SAP Code Unnati Training Program

Internship Trainee
  • Completed a 12-week training program by Code Unnati, an SAP CSR initiative.
  • Explored emerging technologies including Internet of Things (IoT), Machine Learning, and Deep Learning.
  • Enhanced skills in Business Technology Platforms, Python programming, and essential soft skills.

Projects

Selected work across machine learning, deep learning, and data analytics

Modern AI & LLMs

RAG-based Document QA Chatbot Project Image

RAG-based Document QA Chatbot

RAG chatbot for conversing with PDF documents using local LLMs via Ollama. Includes PDF upload, chunking, embedding with ChromaDB, and context-aware responses with source citations.

Python RAG LLMs Streamlit
View Project
AI Chatbot Ollama Project Image

AI Chatbot with Ollama

Streamlit chatbot for local LLMs via Ollama with streaming responses, dynamic model switching, and a thought-process viewer for transparent AI interactions.

Python LLMs Ollama Streamlit
View Project

Deep Learning & Computer Vision

CIFAR10 CNN Classifier Project Image

CIFAR10 CNN Classifier

CNN for multi-class image classification on CIFAR-10 using PyTorch. Covers architecture design, training pipelines, and evaluation metrics.

Python Deep Learning CNN PyTorch
View Project
FER2013 Emotion Detection CNN Project Image

FER2013 Emotion Detection CNN

Custom CNN for facial emotion recognition on the FER2013 dataset. Focus on model development for imbalanced, real-world image data using PyTorch.

Python Deep Learning CNN Computer Vision
View Project
Indian Cricket Player Classifier Project Image

Indian Cricket Player Classifier

Image classification model to identify Indian cricket players with 77.8% accuracy using SVM. Includes dataset collection, preprocessing, and a Flask UI for predictions.

Python Machine Learning SVM Flask
View Project
Emotion Detection System Project Image

Real-time Emotion Detection System (Pre-trained)

Real-time emotion detection from live camera feeds using a pre-trained deep learning model. Classifies up to seven distinct emotions with Python and OpenCV.

Python Deep Learning Computer Vision Real-time
View Project

Traditional Machine Learning

Predicting Insurance Premiums Project Image

Predicting Insurance Premiums (Kaggle)

Kaggle competition project predicting insurance premiums. Built optimized Scikit-learn pipelines with log-transformed targets; best Linear Regression model achieved strong RMSLE.

Python Machine Learning Regression Scikit-learn
View Kaggle Notebook
Mental Fitness Tracker Project Image

Mental Fitness Tracker (AI Intern Project)

Regression models on global mental health data (1990–2020) from 150+ countries. Linear Regression achieved R² of 0.76 after cross-validation on DALY target variable.

Python Machine Learning Regression Data Analysis
View Project

Data Analytics

GameZone Data Analytics Project Image

GameZone Data Analytics

Data cleaning and EDA on GameZone order data. Identified sales trends, top products, and peak periods to inform business strategy.

Python Data Analysis EDA Pandas
View Project
Walmart Sales Analysis Project Image

Walmart Sales Analysis

Analysis of Walmart sales data (2010–2012) with KPI calculation, anomaly detection, and Prophet-based time series forecasting for sales prediction.

Python Data Analysis Time Series Prophet
View Project

Other Projects

Grocery Store Management System Project Image

Grocery Store Management System

Flask web app for small grocery stores with CRUD operations for products, orders, and categories. Backend in Python/MySQL with Bootstrap frontend.

Python Flask MySQL Web Development
View Project
Valorant VCT Dataset Analysis Project Image

Valorant VCT Dataset Analysis

Exploratory analysis of 2024 Valorant Champions Tour datasets covering Internationals, Challengers, and Game Changers to uncover competitive trends and player performance metrics.

Python Data Analysis Visualization Jupyter
View Project

Technical Skills

Core technologies and tools used across projects and coursework

Programming & Core Libraries

Python Java C/C++ NumPy Pandas Matplotlib Seaborn

Machine Learning & AI

Machine Learning Deep Learning Scikit-learn Regression Classification NLP LLMs RAG CNN Computer Vision

Frameworks & Tools

Flask Streamlit PyTorch Ollama ChromaDB PyMuPDF Sentence-Transformers

Data & Databases

MySQL Oracle Data Analysis EDA Data Structures Algorithms Vector Databases

Mathematics & Statistics

Calculus Statistics Probability Linear Algebra

Development & Soft Skills

Git GitHub VS Code Problem Solving Teamwork Communication Presentation

Education Background

Academic credentials and relevant coursework

Master of Science in Data Science

GPA: 3.975 DePaul University Aug 2024 - June 2026
  • Relevant Coursework: Python Programming, Data Analysis and Regression, Data Science Fundamentals, Databases for Analytics.

Bachelor of Engineering in Computer Engineering

CGPA: 8.89/10.0 CVM University June 2020 - June 2024
  • Relevant Coursework: Python for Data Science, Data Structures & Algorithms, Database Management Systems, Machine Learning, Calculus, Statistics and Probability.

Contact Me

Open to opportunities, collaborations, and professional inquiries