As a third-year BTech Computer Science and Engineering student specializing in Data Science, I am passionate about solving real-world problems through data-driven insights. My academic journey has equipped me with a strong foundation in machine learning, data visualization, and predictive modeling, alongside hands-on experience with tools like Python, R, SQL, and Excel. Eager to apply my skills in real-world projects, I am constantly seeking opportunities to innovate, analyze, and create impactful solutions that bridge the gap between data and decision-making.
0 + Projects completed
Welcome to my blog corner, where I explore the depths of computing concepts and tools that make coding a breeze! Dive into the world of Mealy vs Moore machines, unlock the secrets of prompt engineering, or grab a handy Streamlit cheatsheet to boost your app development journey.
A deep dive into the fundamental differences between Mealy and Moore machines.
Learn how effective prompt engineering can supercharge your AI models and yield more accurate results.
An essential guide for building fast, interactive, and beautiful web apps using Streamlit. Learn the key functions and shortcuts!
CGPA: 8.7
Percentage: 89.6%
Percentage: 91.8%
Below are the sample Data Analytics projects on Python, ML & Excel.
Developed a movie recommender system using advanced algorithms to analyze user preferences, suggest similar movies,using some libraries like pandas,nltk and so on.
Created an IPL dashboard using advanced Excel functions to analyze match data, track team performance, and most title winner
Conducted exploratory data analysis (EDA) on the Olympics dataset using Python to uncover patterns and trends in athlete performance, medal distribution, and historical data.
Below are the details to reach out to me!
Punjab, India