Machine Learning Modeling
Classification, clustering, model evaluation, and optimization — proven through lithology prediction, electrofacies clustering, and multiple applied ML projects.
Data Analysis & EDA
Extracting insights through statistical analysis and visualization — backed by VOIS internship work, Airbnb/Netflix analysis, and strong data storytelling skills.
Geoscience AI Applications
Working with well log data for reservoir characterization — handling real-world subsurface geoscience data and translating ML outputs into actionable domain insights.
End-to-End ML Workflows
Preprocessing, feature engineering, modeling, and interpretation — building complete pipelines from raw data to working applications.
Education
Poornima University, Jaipur
Bachelors of Technology
CGPA: 8.02
Rajasthan, India
Internship
Machine Learning Intern | ONGC Dehradun
Developed a Lithology Prediction model to classify subsurface rock types using well log data, improving geological interpretation accuracy. Implemented K-Means Clustering models for electrofacies and formation zone identification, aiding reservoir characterization.
Data Analyst Intern | VOIS
Worked on analytical projects including Unicorn Companies, Airbnb, and Netflix datasets to derive actionable business insights. Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python and to uncover patterns and trends.
AI Intern | INFOSYS
Will update soon...
Skills
Languages
Python, Java, C, SQL, HTML, CSS, JavaScript
Tools & Technologies
Microsoft Azure, AWS, MongoDB, Git, GitHub, RESTful APIs, Power BI, Google Vertex AI, SAS Studio/Viya, Groq API (LLM Integration)
Frameworks & Libraries
ReactJS, Flask, NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Streamlit, Plotly, LangChain
Development Methodologies
Agile, Sprint
Relevant Courses
Data Structures & Algorithms, Machine Learning, Deep Learning, Artificial Intelligence, Object-Oriented Programming, Prompt Engineering, RAG Architectures
Projects
Email Generator using LLaMA
Built a Python tool using LLaMA via LangChain (Groq) to generate personalized application emails from a job-posting URL. Implemented prompt engineering with dynamic template autofill for context-aware outputs, and architected a modular workflow for flexible LLM API integration, reproducibility, and reuse across NLP tasks.
Lithology Prediction Model | LINK
Developed a machine learning model to classify subsurface rock types using well log data (DEPTH, GR, RHOB, NPHI). Improved geological interpretation accuracy and assisted in reservoir characterization.
K-Means Clustering Model | LINK
Implemented K-Means clustering to identify electrofacies and formation zones from well log data. Provided actionable insights for subsurface exploration and geoscientific decision-making.
Airbnb Data Analysis Project | LINK
Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python and SQL on Airbnb datasets. Identified key patterns in pricing, occupancy, and host behavior to derive actionable business insights.
Interests
- Applied Machine Learning for domain-driven, real-world decision making.
- Data analytics and insight generation from large-scale structured datasets.
- End-to-end data and ML system development, from pipelines to deployment.
Achievements
- Solved 50+ coding problems on LeetCode, 20+ on GeeksforGeeks, enhancing proficiency in data structures and algorithms. (On my way to solve more. I promise ^_~)
- Smart India Hackathon (SIH): Led a team of developers to design and implement an innovative tech solution under national-level competitive constraints.
What I've Actually Done
I've gained hands-on experience through internships and projects where I applied machine learning and data analytics to real-world datasets and industry problems.
As a Machine Learning Intern at ONGC, I worked on subsurface geoscience data, developing models for Lithology Prediction and Electrofacies Classification using supervised and unsupervised learning techniques. I collaborated closely with geoscientists to ensure model outputs translated into actionable domain insights.
As a Data Analyst Intern at VOIS, I worked on multiple analytical case studies involving large datasets such as Airbnb, Netflix, and Unicorn Companies. My work focused on data cleaning, exploratory analysis, and visualization to uncover patterns and support decision-making.
Alongside internships, I've built independent projects involving ML pipelines, clustering systems, ETL workflows, and interactive dashboards, strengthening my ability to handle data from ingestion to insight delivery.
| Age | 21 |
|---|---|
| Residence | India |
| Address | Jaipur, Rajasthan |
| kabhay0120@gmail.com | |
| Phone | +91 70440-05682 |
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Machine Learning (Supervised & Unsupervised) 90%
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Data Analysis & Exploratory Data Analysis (EDA) 88%
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Feature Engineering & Data Preprocessing 85%
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Data Pipelines & ETL 80%
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Model Evaluation & Optimization 82%
Portfolio
Here are some of my works. You can go through them all.
View All
Contact Me
You can contact me for any work related queries or project related discussions or any bugs you found on the site. Continue below...