Electronics & Communication Engineering Student
Electronics and Communication Engineering student with a foundation in Computer Science, specializing in Data Analytics, Machine Learning, and Generative AI. Experienced in Python, C, DSA, full-stack applications, and deep learning models using TensorFlow, Keras, and Flask.
Bachelor of Technology, Electronics and Communication Engineering
2023 – 2027 (Expected)
Higher Secondary Certificate (Class XII)
2021 – 2022
83%
Secondary School Certificate (Class X)
2019 – 2020
86.5%
Developed a feedforward neural network using TensorFlow and Keras to predict final T20 cricket scores from historical IPL data, achieving a Mean Absolute Error of 14.38. Built and deployed a web application with a Flask API backend and HTML/CSS/JavaScript frontend for live score predictions.
Designed and simulated a finite state machine for a vending machine controller using Verilog HDL and AMD Vivado. Implemented state transitions and generated module definitions and FSM diagrams.
Automated local file organization using Python and the OS module, with rule-based classification scripts for dynamic file detection and relocation.