I have a deep passion for working with data and possess the skills necessary to extract valuable insights and trends. Through my expertise, I aim to contribute to data-driven decision-making processes that lead to impactful outcomes for organizations.
Flipkart Laptop Price Prediction:
• Web Scrapping data from Flipkart website •Developed and implemented machine learning model to predict laptop prices on Flipkart resulting in 90% accuracy rate.
• Created webpage showing the dashboard, report of data
• Conducted data cleaning, feature engineering, and exploratory data analysis to prepare the dataset for modeling
Open Pub Application:
•Developed Home Page that provided basic information and statistics about the
dataset.
•Implemented a Pub Locations Page that displayed a map and allowed users to search
for pubs based on Postal Code or Local Authority.
•Built a Find the Nearest Pub Page to find the nearest 5
pubs to a user's inputted Latitude and Longitude.
•Used Python libraries such as Pandas, Folium, and Streamlit .
Ranked in the top 10% out of 7000 in a hackathon organized by Innomatics Research Labs
Five star & HackerRank Gold badges in SQL & Python
Lead A team of 4 people in hackathon organized by NIT Raipur
Kaggle Notebook expert
IBM data analyst Professional certificates
Applied data Analytics course by NIT Raipur
Reading , Meditation , playing chess
Business 360 - - Brick & motor and e-commerce [Power BI | SQL | Excel | Dax Studio]
Revenue insights in hospitality domain [Power BI | Excel]
Sales Insights – Brick & motor business [Power BI | SQL]