Analytical and detail-driven Data Analyst with a strong background in transforming complex data into actionable insights that drive strategic business decisions. Skilled in data cleaning, analysis, and visualization usin…
Analytical and detail-driven Data Analyst with a strong background in transforming complex data into actionable insights that drive strategic business decisions. Skilled in data cleaning, analysis, and visualization using tools such as SQL, Excel, Python and Power BI. Proven ability to collaborate across departments, automate reporting processes, and present data findings in a clear and compelling way. Passionate about leveraging data to solve problems, optimize performance, and uncover growth opportunities.
Mobile Price Analysis : Developed a Python-based web scraper using BeautifulSoup & Requests and Extracted mobile specifications (brand, model, RAM, storage, battery, price) from Flipkart and Cleaned and processed data using Pandas, NumPy & Regex and Handled missing values and performed data type conversions and Aggregated data from multiple pages into structured DataFrame and Conducted EDA to analyze pricing trends and brand comparisons. • Tools & Technologies Used : Python, BeautifulSoup, Requests, Pandas, Numpy, Matplotlib, Seaborn, Regular Expressions (re), Web Scraping, Data Cleaning & Preprocessing, Data Visualization, Exploratory Data Analysis (EDA). • Data Analysis of Men's Shirts on Flipkart : Developed a Python scraper using BeautifulSoup & Requests to extract product data from Flipkart and Cleaned and processed data with Pandas & NumPy, handling missing values and duplicates and Conducted exploratory data analysis and visualized insights via Matplotlib & Seaborn and Identified pricing outliers to prepare a refined dataset for further analysis. • Tools & Technologies Used : Python, BeautifulSoup, Requests, Pandas, Numpy, Matplotlib, Seaborn, Regular Expressions (re), Web Scraping, Data Cleaning & Preprocessing, Data Visualization, Exploratory Data Analysis (EDA)
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