I’m a passionate Data Science Freelancer specializing in transforming raw data into actionable insights. With a strong foundation in data analysis, machine learning, and big data processing, I thrive on solving complex problems and making data-driven decisions.
Core Competencies
Machine Learning
Proficient in supervised, unsupervised, and reinforcement learning techniques.
Exploratory Data Analysis (EDA) & Data Visualization
Expertise in creating compelling and informative data visualizations, and statistical analysis.
SQL & Database Management
Experienced in SQL and database management, proficient in designing, querying, and optimizing databases to ensure efficient data storage and retrieval.
Web Scraping & Data Cleaning
Experienced in data cleaning, transformation.
Featured Projects
RFM Analysis Project
Segmented customers using the RFM (Recency, Frequency, Monetary) model to improve marketing strategies.
Tools: Python, Pandas, Seaborn.
Methodology: Calculated RFM scores to identify customer segments.
Provided insights for targeted marketing actions.
University Management System (SQL)
Developed a database-driven system to manage university operations, including student records, course enrollments, and faculty details.
Tools: SQL.
Methodology: Designed a relational database to store and manage academic data.
Implemented queries for efficient data retrieval and reporting.
Airbnb Data Analysis Project
Analyzed Airbnb data to uncover factors influencing rental prices and occupancy rates.
Tools: Python, Pandas, Seaborn, Linear Regression.
Methodology: Explored data to identify trends in price, location, and amenities.
Built a regression model to predict pricing.
Bookstore Web Scrapping
Scraped bookstore data to analyze pricing trends and customer preferences.
Tools: Python, BeautifulSoup, Pandas, Requests.
Methodology: Collected book data, including titles, prices, ratings, and genres, to identify patterns in book popularity and pricing.
Want to dive deeper into my projects? Check out my work on Github