AI / ML DEVELOPER DATA ANALYST ELECTRONICS ENGINEER

Yashasvi Tomar

Electronics Engineering student at Madhav Institute of Technology & Science (2024–2028), passionate about Machine Learning, Deep Learning, Generative AI, RAG, Computer Vision, Data Science, and modern web development.

OPEN FOR INTERNSHIPS & PLACEMENTS
METRICS ● ACTIVE
Yashasvi Tomar

7.82

CGPA

100+

LeetCode

3rd

Year

"Turning ideas into real-world impact."

I don't just want to learn technology — I want to understand it, build with it, and turn ideas into something meaningful.

Yashasvi Tomar

About Me

I am a 3rd-year Electronics Engineering student at Madhav Institute of Technology and Science (MITS) , passionate about building intelligent, data-driven, and practical technology solutions. My journey has gradually evolved from learning programming fundamentals to exploring Machine Learning, Deep Learning, Generative AI, RAG, Data Science, Computer Vision, and Full-Stack Development.

I am a curious and dedicated learner who enjoys understanding how things work and then turning that knowledge into projects. I believe that the best way to learn technology is by building — experimenting with an idea, making mistakes, debugging it, improving it, and eventually turning it into something real.

I continuously work on strengthening my skills in DSA, AI/ML, SQL, Data Analytics, and modern web development . Alongside project development, I have completed professional learning programs in Machine Learning with Python, Deep Learning, and Reinforcement Learning through IBM/Coursera.

Beyond technology, I have had the opportunity to take responsibility in several college-level activities and events. I have led and coordinated multiple events, including contributing to the management of Aarunya — the annual fest of MITS . These experiences have helped me develop leadership, communication, coordination, teamwork, and responsibility beyond the classroom.

I consider myself a quick learner, curious explorer, consistent worker, and problem solver . Whether I am learning a new concept, solving a DSA problem, building an AI project, or taking responsibility for a team, I try to keep moving forward.

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I want people to remember me as someone who never learned how to give up.

TECH STACK


Technologies and tools I use for building AI, ML, data-driven applications, and modern web experiences.

AI & Machine Learning

Building predictive models, ML pipelines, deep learning systems, and intelligent applications.

Python NumPy Pandas Scikit-Learn TensorFlow PyTorch

Generative AI

Developing LLM-powered applications using RAG pipelines, vector databases, and AI APIs.

LLMs RAG LangChain OpenAI ChromaDB

Full-Stack Development

Building responsive web applications and AI-integrated platforms using modern frameworks.

Next.js React JavaScript TypeScript Tailwind CSS FastAPI

Data & Databases

Working with structured data, preprocessing, SQL queries, databases, and data analysis.

SQL PostgreSQL MySQL Pandas EDA Power BI

Tools & Platforms

Using developer tools and platforms for version control, deployment, APIs, and project development.

Git GitHub Docker Streamlit Vercel VS Code

Problem Solving

Practicing Data Structures and Algorithms with focus on problem solving and coding interviews.

C++ DSA LeetCode GFG Algorithms

DATA ANALYTICS


Turning raw data into meaningful insights through data cleaning, exploratory analysis, visualization, and SQL-driven analytics.

SQL & Data Querying

Writing analytical SQL queries to extract, transform, aggregate, and analyze structured data.

SQL MySQL PostgreSQL GROUP BY Window Functions CTEs

Python Data Analysis

Using Python to clean, transform, explore, and analyze datasets.

Python Pandas NumPy Data Cleaning EDA

Data Visualization

Creating clear visualizations to communicate trends, relationships, and patterns.

Matplotlib Seaborn Power BI Charts Dashboards

Exploratory Data Analysis

Exploring datasets using statistical analysis, correlation, distributions, and feature relationships.

EDA Correlation Statistics Feature Analysis Outliers

EXPERIENCE & LEADERSHIP


Leadership, coordination, and technical experience gained through college organizations and activities.

Training & Placement Cell

Student Coordinator contributing to placement-related coordination, communication, and student activities.

Startup Cell

Involved in entrepreneurship-focused initiatives, events, and student innovation.

Rocket Club — Secretary

Contributing to technical activities, team coordination, and club initiatives.

Skillsphere Club

Contributing to technical and content-related activities, events, projects, and club initiatives.

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✦ FEATURED PROJECTS


Production-ready Machine Learning models, Deep Learning tools, RAG architectures, and AI-powered applications.

NeuroSense – AI Emotion Intelligence Platform

NLP-powered emotion intelligence platform using a trained Bidirectional GRU neural network to classify text across six emotions with confidence, probability visualization, and analytics.

Mindora – AI Mental Health Predictor

Predicts a user's mental well-being score based on lifestyle habits, stress factors, and social patterns using Machine Learning algorithms.

Fraud Detection Predictor

End-to-end ML application for financial fraud detection featuring feature engineering, supervised learning, imbalanced-data handling, and an interactive UI.

AI Video Assistant With RAG

Enables natural language interaction with video content using Retrieval-Augmented Generation to provide context-aware answers.

FacePay AI

Group project utilizing OpenCV and deep learning models for biometric-based automated payment through facial recognition.

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GET IN TOUCH

Feel free to reach out for internships, placements, technical collaborations, projects, or open-source discussions.

yt.yashasvii@gmail.com
Gwalior, Madhya Pradesh, India