ML Engineer Aspirant
I'm a passionate developer building real-world web applications, AI-based systems, and dashboards that solve meaningful problems and create impact.
Know Who I Am
Driven by a deep passion for Machine Learning and intelligent systems, I specialize in transforming complex data into actionable solutions. With industry training in AI & ML through IBM's partnered program and hands-on expertise in full-stack development using Django, I bridge the gap between data science and production-ready applications.
From building ML-powered mentor-matching platforms with K-Means and TF-IDF to crafting real-time system monitoring dashboards, I thrive on solving meaningful problems through code. I'm recognized with a Bronze Badge on CodeChef and Silver in Python on HackerRank, reflecting my commitment to continuous growth.
Machine Learning
Scikit-learn, K-Means, TF-IDF, EDA, Feature Engineering
Web Development
Python, Django, HTML/CSS, JavaScript, REST APIs
Problem Solving
DSA, C++, Competitive Programming, Algorithmic Thinking
Technical Skills
Soft Skills
My Projects
Online Mentor Platform
An ML-powered mentor-mentee matching platform built with Python. Uses EDA to reduce data preprocessing time by 18%, and a clustering-based recommendation model that analyzes user interests, skills, and expertise to improve match accuracy by ~20%. Integrates K-Means, TF-IDF, and data preprocessing pipelines with a Streamlit web interface, boosting user interaction efficiency by 30%.
Real-Time Process Monitoring Dashboard
A real-time monitoring dashboard displaying process states, CPU load, and memory usage, enabling administrators to detect issues 30% faster. Features a cross-platform GUI built with Python and Tkinter, integrating os and psutil modules for seamless system monitoring. Optimized performance by 10% through efficient filtering, configurable refresh rates, and time-series tracking.
Certifications & Achievements
Advance Computer Network
NPTEL• Computer Network
Python
Coursera• Basics of Python
Build Your own Chatbot
IBM• Gen AI
HTML
Udemy• Basic of HTML
My Journey So Far
Algotutor (LPU Winter PEP Training)
Comprehensive training covering Python fundamentals (functions, conditional statements, exception handling, OOP), followed by full-stack web development with Django and REST APIs. Gained hands-on experience with CI/CD using GitHub Actions, containerization with Docker, and cloud computing concepts. Built and deployed multiple real-world applications throughout the program.
Allsoft Solutions (Partnered with IBM)
Performed Exploratory Data Analysis (EDA) using NumPy and Pandas, reducing data preprocessing time by 15%. Developed, trained, and evaluated ML models — including Linear Regression, Decision Trees, K-Means, and Ensemble Methods using Scikit-learn, achieving a 10% improvement in model accuracy. Applied feature engineering techniques that enhanced predictive model performance by 20%.
My Education
Lovely Professional University
Currently pursuing my Bachelor's degree with a focus on core computer science subjects, data structures, and algorithms. Maintaining a strong academic record with a current CGPA of 8.16.
Kisan College
Completed my Higher Secondary education in Science stream. Secured 76.6% in the final board examinations.
Prerna Punj Public School
Completed my secondary education with a focus on foundational subjects. Secured 79% in the final board examinations.
Latest Articles
My Full Stack Journey: From Python Basics to Cloud Deployment
During my Winter PEP training at LPU with Algotutor, I embarked on a comprehensive journey through the Python full-stack ecosystem. Starting with core Python concepts - functions, OOP, exception handling - I quickly progressed to building web applications with Django, creating REST APIs, setting up CI/CD pipelines with GitHub Actions, and containerizing applications with Docker. The most rewarding part was seeing how all these pieces fit together: writing clean Python code, structuring it into a Django project, exposing it via …
Read MoreWhat I Learned During My AI & ML Industry Training with IBM
This summer, I had the incredible opportunity to undergo an industry training program in Artificial Intelligence and Machine Learning at Allsoft Solutions, partnered with IBM. Over two intensive months, I went from understanding basic data preprocessing to building and evaluating full machine learning models. I performed EDA using NumPy and Pandas, trained models like Linear Regression, Decision Trees, K-Means, and Ensemble Methods with Scikit-learn, and applied feature engineering to boost model performance by 20%. This experience gave me a solid …
Read MoreContact Me
Let's work together!
Have a project in mind or just want to say hi? Feel free to reach out. I'd love to hear from you!