Karthik Krishnan
Bangalore
Summary
Highly motivated final year B.Tech student with hands-on experience in data analytics and machine learning projects, with a keen interest in finance. Adept at collaborating in team environments and taking initiative to drive projects forward. Successfully applied AI techniques to solve real-world problems while meeting tight deadlines. Always eager to learn, contribute, and take on new challenges in the field of technology.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Senior Core Member
VinnovateIT
05.2023 - Current
- Handled collaboration and outreach for a project and helped increase the user base by threefold.
- Mentored students who are part of the team in different fields of the lab.
- Managed social media handles and increased engagement by more than 50%.
Intern Full Stack Developer
Cardiac Design Labs
05.2025 - 06.2025
- Developed a full-stack Flutter application for Cardiac Design Labs, enabling the configuration and management of Padma Vitals Gateway devices.
- Implemented robust TCP and UDP socket communication protocols within the application to facilitate seamless device interaction and data exchange.
- Streamlined the setup and operational efficiency of medical gateway devices, contributing to enhanced patient monitoring capabilities.
Summer Intern - Data Analytics & Machine Learning
ITC Limited
06.2024 - 07.2024
- Applied machine learning techniques to optimize biomass boiler performance.
- Developed AI models to predict and enhance efficiency.
- Created data visualizations to identify key operational insights.
- Achieved a 6% reduction in fuel costs by optimizing boiler parameters.
Education
B. Tech - Computer Science Engineering
Vellore Institute of Technology
08.2026
Secondary School -
Christ PU College
03.2022
High School -
St Joseph's Boys' High School
04.2020
Skills
- Data Analytics
- Full Stack Development (Flutter)
- Data Visualization
- Team Management
- Communication
- Leadership
- Collaboration
- Problem-solving
ACADEMIC PROJECTS
New York City Taxi Fare Prediction (Regression Analysis)
- Developed a predictive model using XGBoost to forecast taxi fares, addressing the common industry problem of price estimation.
- Conducted extensive feature engineering on 55M+ records, calculating trip distance via the Haversine formula and extracting temporal features (peak hours, day of week).
- Achieved a Root Mean Squared Error (RMSE) of 3.03, demonstrating accuracy in predicting fares for unseen data.
- Tools: Python, Pandas, Scikit-learn, XGBoost.
Smart Chef Model (AI-Powered Health Analytics Platform)
- Status: Currently In Progress as a software engineering assignment at VIT.
- Data Analytics Focus: Implementing computer vision using YOLOv8 for real-time ingredient detection and applying a fine-tuned T5 transformer for context-aware recipe generation and nutritional analysis.
- Technical Stack: Architecting a scalable web application with React.js (Frontend), Python (Backend/Microservices), and PostgreSQL (Database).
- Achievement: Defined system architecture and functional requirements, including a target non-functional requirement of AI model inference under 5 seconds.
Certification
- Data, Data Everywhere - Google
- Business Analyst Professional Certificate - IBM
Languages
English (Fluent)
Hindi (Native)
Malayalam (Native)
Timeline
Intern Full Stack Developer
Cardiac Design Labs
05.2025 - 06.2025
Summer Intern - Data Analytics & Machine Learning
ITC Limited
06.2024 - 07.2024
Senior Core Member
VinnovateIT
05.2023 - Current
B. Tech - Computer Science Engineering
Vellore Institute of Technology
Secondary School -
Christ PU College
High School -
St Joseph's Boys' High School