Welcome to my GitHub profile! I’m Pratham Jain, a dedicated Data Scientist with a strong foundation in data engineering, machine learning, and AI-driven solutions. My work is centered around transforming data into actionable insights that drive business growth and innovation. Browse through my projects and see my approach to tackling real-world problems using data science and engineering.

I'm a Software Engineer and Data Scientist with a passion for using technology to solve real-world problems. Proficient in Python, SQL, and machine learning, I am driven by a desire to extract valuable insights from data and build innovative solutions for efficiency and growth. I aim to work with advanced technologies in data science and engineering, enhancing both personal and team performance.

• Amazon ML Challenge 2024: Ranked 84 / 74,830
• Luminous TechnoX 2024 Finalist
• Flipkart Grid 6.0: Level 2 in Robotic Track & SDE Track
• AWS DeepRacer Competition (Asia-Pacific 2023): Top 20
• Numerai Competition: Top 8% consistently
• Kimo.ai AI and Machine Learning Hackathon: 1st Place

Raichur Institute of Medical Sciences
Aug 2024 – Present

• Hybrid Cloud Storage Management: Optimized patient record storage for 2,000+ patients yearly using AWS S3 & EC2.
• Data Access Solution: Built a MongoDB-backed access portal, streamlining patient data retrieval for healthcare providers.

Bosch Global Software Technologies HVAC Systems - AI-Driven HVAC Efficiency Optimization Mar 2024 – Nov 2024

• Designed and implemented a real-time data pipeline for AI models, focusing on energy, fuel, and electricity consumption in HVAC systems.
• Conducted data wrangling and warehousing of IoT signals to support AI-driven insights.
• Conducted regular peer reviews of AI models to ensure accuracy and compliance with internal standards, iterating on feedback to continuously improve performance, and deployed the solution on NXT families, enhancing HVAC system efficiency through edge computing and advanced data analysis.
• Utilized A/B testing and other advanced experimentation methods and niche algorithms to deliver a 15.5% increase in energy savings through improved model performance.

Bosch Global Software Technologies & Medical Institutions - Multimodal AI-Powered Breast Cancer Screening System Using Radiology, Pathology, and Medical History
Jan 2024 – Nov 2024

• Spearheaded a pioneering research initiative to develop a world-first interdisciplinary multimodal screening system, achieving an 80% reduction in second screening time.
• Integrated and tested mammogram and pathology-based approaches for accurate diagnoses, achieving 96.8% accuracy (p < 0.05), and optimized testing recommendations.
• Trained and validated a system using an FNAC diagnosis dataset of 500+ images from Raichur medical institutions, achieving 97.02% accuracy, and deployed it for real-time effectiveness on Indian patients through verification camps.

B.Tech, Computer Science & Engineering
Indian Institute of Information Technology, Raichur
Expected Graduation: December 2025
CGPA: 8.1

Thank you for exploring my GitHub profile! Feel free to check out my repositories and reach out if you'd like to collaborate on projects or discuss data science and engineering solutions.