Featured Work
End-to-end machine learning projects demonstrating data analysis, model development, and real-world problem solving.
Customer Churn Prediction System
Classification & Business Analytics
End-to-end ML system to predict customer churn and identify business risks
- •Analyzed customer behavior data to identify churn patterns and business risks
- •Preprocessed large datasets by handling missing values and categorical variables
- •Built Logistic Regression and Random Forest models for churn prediction
House Price Prediction System
Machine Learning Regression
End-to-end ML pipeline to predict house prices using real-world datasets
- •Built end-to-end machine learning pipeline for house price prediction
- •Performed data cleaning, feature engineering, and exploratory data analysis
- •Implemented Linear Regression and Random Forest models with comparison
Handwritten Digit Recognition
Deep Learning Computer Vision
CNN-based system for classifying handwritten digits using MNIST dataset
- •Designed and trained a Convolutional Neural Network (CNN) for digit classification
- •Used MNIST dataset (70,000 images) for training and validation
- •Achieved high classification accuracy through model optimization
Technical Skills
Skills derived from real project experience. Level indicates depth of hands-on usage.
Programming & Core
Data Analysis & Preprocessing
Machine Learning
Deep Learning
Model Evaluation
Experience & Education
My journey in machine learning and data science.
Work Experience
Data Science Trainee
Analytics & ML Training Program
August 2025 – January 2026 • 6 months
- •Built hands-on ML projects including prediction and classification systems
- •Conducted exploratory data analysis on structured datasets
- •Developed end-to-end ML pipelines from data collection to model evaluation
- •Applied feature selection techniques to improve model accuracy
- •Documented results and presented insights to stakeholders
Junior Machine Learning Intern
AI Solutions Lab (Startup)
February 2025 – May 2025 • 4 months
- •Assisted in building and testing machine learning models for real-world datasets
- •Performed data preprocessing including cleaning, normalization, and feature engineering
- •Implemented regression and classification models using Scikit-learn
- •Evaluated model performance using accuracy, RMSE, and cross-validation
- •Collaborated with senior engineers to improve model efficiency
Education
B.Tech Computer Science & Engineering
Data Science
National Institute of Science and Technology
August 2024 – August 2028 • Berhampur, India
Higher Secondary (XII Science)
CBSE
St. Xavier's High School
April 2020 – May 2022 • Berhampur, India
Get In Touch
Interested in working together? I'm open to ML/Data Science opportunities, internships, and open source collaboration.
Other Ways to Reach Me
kumleshkumarofficial@gmail.com
Phone
+91 9861838389
Connect on LinkedIn
GitHub
View on GitHub
Location
Berhampur, Ganjam, India