Data Science & Machine Learning
Transforming raw data into meaningful insights and deployable ML models.
I am a 4th-year B.Tech student focused on Data Science and applied Machine Learning. I build data-driven models using real-world datasets, specializing in NLP, computer vision, and predictive analytics.
Role Focus
Data Science • Applied ML
Primary Stack
Python • TensorFlow • Scikit-learn
Delivery Style
Data-driven, deployable, analytical
Availability
Open to opportunities
Selected Work
RAG-Based Personal Knowledge Assistant
Built a Retrieval-Augmented Generation (RAG) system that transforms PDFs into a searchable knowledge base, enabling context-aware question answering through semantic retrieval and LLM-powered responses.
LifeScreen Analytics
A web application that analyzes smartphone usage patterns and predicts the risk of mobile addiction using machine learning..
Extremist Detection
Built a machine learning-based text classification system to effectively detect extremist content.
Mental Health Detection (Text)
Developed a FastAPI and HuggingFace application for automated text identification and mental health classification tasks.
Experience
AI & Brand Design Intern
Peepri Apparels
- Developed AI-powered fashion and branding content using generative AI tools and prompt engineering.
- Created T-shirt designs and AI-generated model visuals to support product marketing and brand campaigns.
- Managed Shopify store operations, including product listings, catalog updates, and content optimization.
- Designed and published Instagram content to enhance brand visibility and audience engagement.
- Assisted in email marketing campaigns and promotional content creation to support customer outreach.
Junior Data Science Intern
View Details ↗NullClass
- Worked on practical data science problems and applied machine learning models.
- Gained hands-on experience evaluating and deploying data-driven solutions.
Data Analysis with Python
View Details ↗IBM Cognitive Class
- Mastered data analysis techniques and libraries like Pandas and NumPy.
Machine Learning with Python (Level 1)
View Details ↗IBM Cognitive Class
- Earned Credly badge for proficiency in foundational machine learning algorithms.
Machine Learning with Python
View Details ↗FreeCodeCamp
- Demonstrated working knowledge of deep learning and applied ML workflows.
AI-ML Google Workshop Participant
View Details ↗Eduskill / Google
- Completed AI-ML workshop curriculum encompassing advanced data structures.
Participant
Hackathons
- Participated in techfest IIT Bombay Datathon.
- Regular participant in competitive college-level Hackathons.
About
I believe in the power of data to uncover hidden patterns and drive decisions. My approach to Machine Learning balances model accuracy with real-world practicality, ensuring the solutions I build are understandable and easy to deploy.
Core Focus
- Data Analysis (Pandas, NumPy)
- Model Training (Scikit-Learn, TF)
- API Deployment (FastAPI, Flask)
- Data Visualization (Matplotlib, Seaborn)
Working Style
- Understand the data deeply before modeling.
- Prefer clean, explainable models when possible.
- Ship complete solutions, bridging ML with web APIs.
Live Coding Presence
Kaggle
@kedarnathmane
Competitions, notebooks, and ranking visibility
LeetCode
@kedar1823
Problem-solving consistency and DSA practice profile
LeetCode Activity Chart
Let's connect.
Actively building data science capabilities through hands-on projects. Usually replies within 24 hours.