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
Portrait of Sugali Venkatasai Teja
Current focus Machine Learning Foundations

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

Languages

C C++ Python SQL HTML CSS JavaScript React

Frameworks & Tools

NumPy Pandas Matplotlib SciPy Seaborn Git GitHub MATLAB LTSpice

Core strengths

Machine Learning Advanced
Data Structures & Algorithms Strong
Artificial Intelligence Strong

Projects

Applied machine learning and computational problem solving

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.
MLP KNN Data Preprocessing

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.
LSTM Pandas 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.
Python Cython MNA

Experience

Leadership and extracurricular involvement

Jul 2024 - Jan 2025

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.
Campus activities

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 2027

Class XII

Sri Chaitanya Intermediate College

94.15% 2023

Class X

Sri Chaitanya Techno School

100% 2021

Scholastic achievements

JEE Mains 2023 • Top 0.66% JEE Advanced 2023 • Top 7.76% TS-EAMCET 2023 • Rank 2,887 NTSE Stage 1 Qualified

Relevant coursework

Applied Programming Lab Signals and Systems Digital Signal Processing Introduction to Programming Electric Circuits & Networks Microprocessors Theory Computer Organisation Series and Matrices Differential Equations Machine Learning Foundations Analog Systems and Lab Digital Systems and Lab

Contact

Let’s build something meaningful

The provided resume does not list a public email address or social profile links, so this section stays accurate and avoids adding unverified information.

Institute Indian Institute of Technology Madras
Program B.Tech, Electrical Engineering
Interests AI, ML, Forecasting, Circuit Simulation
Public email / links Not listed in the provided resume