Portfolio - Karthik Boodidha

Hello, I am

Karthik Boodidha

Data Scientist

About Me.

Hi, I’m Karthik — a data science enthusiast with a passion for turning complex datasets into practical solutions. With a Master’s in Data Science from Osmania University, I’ve focused my learning on solving real-world challenges through machine learning and data-driven modeling.
My portfolio reflects this drive, featuring projects like Credit Risk Modeling to assess borrower defaults, Healthcare Insurance Premium Prediction for pricing optimization, and Customer Sentiment Analysis to extract insights from reviews. I’ve also designed a Custom Expense Tracking System to simplify financial management, and Working on IPL Data Analysis spanning 2008 to 2024 to uncover player and team patterns.
I specialize in Python, SQL, and key libraries like Scikit-learn, XGBoost, and Pandas. I bring creativity, attention to detail, and a hunger for learning to every project I take on. I’m also working toward launching an educational YouTube channel to break down data science for learners of all levels.

1

GenAI Project

1

Machine Learning Project

Skills.

Python

Machine Learning

SQL

Deep Learning

Math And Statistics

Projects.

My Experience.

🏢 Wildgrube Software Private Limited

Jr. Software Developer 📅 September 2025 – Present | 📍 Hyderabad, India

As part of the backend team at Wildgrube Software, I drive the migration of legacy Delphi applications to modern web platforms, leveraging the DMVC framework to design and deliver scalable REST APIs.

What I do:

Architect and build REST API endpoints using the DMVC framework, replacing legacy VCL desktop interfaces
Manage enterprise databases using Microsoft SQL Server and Advantage Database Server
Apply clean architecture principles to improve system maintainability, scalability, and performance
Collaborate with the team to ensure smooth, incremental migration with minimal disruption to existing workflows

Stack: Delphi · DMVC · Microsoft SQL Server · Advantage Database Server · REST APIs

🧬 Plasmid

Machine Learning Intern 📅 October 2024 – December 2024 | 📍 Virtual – Bengaluru, India

An intensive, industry-aligned ML internship where I developed hands-on expertise in building and evaluating machine learning models from scratch.

What I accomplished:

Completed structured training in supervised and unsupervised ML concepts
Built multiple mini and major projects — from raw data to trained, evaluated models
Strengthened practical skills in Python, Scikit-learn, Pandas, and data visualization libraries
Gained experience in real-world problem framing — defining objectives, selecting features, and interpreting results

Stack: Python · Scikit-learn · Pandas · NumPy · Matplotlib

Awards & Certificate.

Python: Beginner to Advanced For Data Professionals

SQL for Data Science

Math and Statistics For AI, Data Science

Master Machine Learning for Data Science & AI: Beginner to Advanced

Deep Learning: Beginner to Advanced

Natural Language Processing

Gen AI to Agentic AI with Business Projects

Contact.

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

Download CV

[email protected]

Call Me

+91 8340071942

https://www.linkedin.com/in/karthik-boodidha/

GitHub

https://github.com/Karthik-1221

GenAI Project

The Multimodal Storyteller

Domain/Function: Generative AI

An interactive AI storytelling app that merges text, image, and audio to create immersive, branching narratives from custom user prompts. Powered by generative AI and designed for creativity, it offers dynamic plotlines shaped by choices across multiple modes.

View Project
on GitHUB

Other Tools

Gemini

Stable Diffusion

The initial “Forge Your World” UI. Here, the user selects theme, archetype, contradiction to generate “World Bible”

The user provides the initial creative spark—a single opening sentence—which launches the AI generation cycle.

Project Details

An AI-powered storytelling app that transforms static narratives into immersive experiences using text, visuals, and audio. Built with Python, Streamlit, and integrated with cutting-edge services like Google Gemini and Stability.ai, the app invites users to begin with a simple prompt—like “Karthik found an old, dusty map in a forgotten book”—and navigate through branching storylines shaped by user choices.

📝 Text: Dynamic chapters generated in response to user decisions

🎨 Image: Vivid scenes illustrated via generative AI

🔊 Audio: Atmospheric sound and voice synthesis for emotional depth

Project video

Machine Learning Project

Customer Churn Prediction Model

Domain/Function: Machine Learning

Churn Prediction

Steps to build Churn Prediction Model

Project Details

Developed a binary classification model to predict customer churn for a subscription-based business. Applied feature engineering, handled class imbalance, and compared multiple algorithms to select the best-performing model.

Impact:
Achieved 85%+ accuracy on test data
Identified top churn drivers: contract type, tenure, and monthly charges
Provided business recommendations to improve customer retention