IIT Madras • Electrical Engineering • Machine Learning
Hi, I am {Sugali Venkatasai Teja}
I build data-driven systems with Python, machine learning, and practical software engineering, with interests spanning AI, forecasting, circuit simulation, and optimization.
- 8.15CGPA at IIT Madras
- 80.2%Best diabetes model accuracy
- 104xPerformance gain with Cython
Building accurate and efficient predictive systems with Python and modern ML tools.
About me
Engineering ideas into practical systems
I am a B.Tech student in Electrical Engineering at the Indian Institute of Technology Madras. My work centers on machine learning, software development, and analytical problem solving, with hands-on experience across deep learning, forecasting, circuit simulation, optimization, and data-driven model tuning.
Alongside academics, I have contributed as a coordinator in Shaastra Design Club and actively participate in sports and campus activities.
My skills
Tools, languages, and core strengths
Frameworks & Tools
Core strengths
Projects
Applied machine learning and computational problem solving
Advanced ML Customer Prediction System
Built a high-accuracy predictive pipeline with XGBoost, CatBoost, and LightGBM, reaching 85% accuracy and a 0.83 F1-score.
- Engineered 60+ features for stronger model signals.
- Used Optuna-based tuning to improve performance by 17%.
- Reduced false positives through model and feature optimization.
Diabetes Prediction System
Developed a classification pipeline using MLP and K-Nearest Neighbors for diabetes risk prediction.
- Reached 80.2% peak test accuracy.
- Applied StandardScaler for normalized inputs.
- Used decision trees to identify glucose and BMI as leading risk factors.
Stock Price Prediction System
Created a time-series forecasting workflow with LSTM networks for stock trend prediction.
- Processed historical financial data with Pandas.
- Normalized prices through MinMax scaling.
- Visualized actual vs predicted trends using Matplotlib.
Applied Programming Lab Project (EE2703)
Delivered multiple algorithmic systems focused on simulation, optimization, and performance engineering.
- Built a SPICE circuit solver in Python using Modified Nodal Analysis.
- Created a keyboard layout optimizer with Simulated Annealing.
- Implemented a Delay and Sum image reconstruction algorithm and accelerated code by 104x with Cython.
Experience
Leadership and extracurricular involvement
Coordinator, Shaastra Design Club
Shaastra 2025, IIT Madras
- Designed posters and promotional visual assets for events and campaigns.
- Strengthened branding and creative execution through club contributions.
- Built practical design skills using Canva and Adobe tools.
Extracurriculars
- Completed National Sports Organisation hockey training at IIT Madras.
- Active participant in EEA cricket tournaments.
- Pursues cricket as a regular leisure sport.
Education
Academic background and achievements
B.Tech in Electrical Engineering
Indian Institute of Technology Madras
CGPA: 8.15 2027Class XII
Sri Chaitanya Intermediate College
94.15% 2023Class X
Sri Chaitanya Techno School
100% 2021Scholastic achievements
Relevant coursework
Contact
Let’s build something meaningful
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