Challenges
Data Science / Machine Learning / Deep Learning: Python, Data Visualization, Supervised learning algos, Unsupervised learning algos, ANN, CNN etc.
Mathematics for ML & DL: Algebra, Probability, Statistics, Calculus, Matrics.
Python Packages and Framework: Scikit Learn, TensorFlow, Keras, NumPy, Pandas, SciPy, OpenCV.
Website Development: HTML, CSS, Python, Flask, Jinja2, figma
Programming Languages: Python, Java, C++, SQL, HTML, CSS
Cloud Development: Google Cloud Fundamentals
Internship – MMMUT, Gorakhpur (May–June 2025)
Worked on a Drowsiness Detection System using Python, TensorFlow, and OpenCV, implementing real-time facial landmark detection and alert mechanisms to enhance road safety. Gained hands-on experience in computer vision, deep learning, and hardware/software integration.
Python Tutor (TeacherOn – Online)
Taught Python basics and problem-solving to an Indian-American student through interactive one-on-one sessions, focusing on coding fundamentals, logic building, and practical applications.
I am working in a cafe as a computer man and an analyst for 4 months. I have real time management experience.
Collaborative teamwork
Quick learner
Adaptable learner
Proficient in computer applications
Analytical problem-solving
Adaptability to change
Data analysis
Deep Learning using PyTorch
Challenges
New Technology
Deploy ML apps at Lightning speed using GCP
[IoT, Drone, 3D Printing, AI & Ansys Modelling and Simulation] Training - [May-June, 2025]
Deep Learning using PyTorch
[Data Sceintist], [SimpliLearn] - [May, 2024 to May, 2025]
Implemented Machine Learning techniques using NumPy