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pratikschitnis/README.md

Hi there, I'm Pratik Chitnis ๐Ÿ‘‹

๐Ÿ“Š Turning Data into Insights | ๐Ÿค– Exploring Machine Learning | ๐Ÿš€ Growing with Purpose


๐Ÿ‘จโ€๐Ÿ’ป About Me

๐ŸŽ“ Completed CDAC in Advanced Computing | Currently pursuing Data Science

๐Ÿ’ก Passionate about solving real-world problems using data-driven approaches

๐Ÿ“Š Skilled in Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Power BI

๐Ÿ“ˆ Experienced in EDA, Hypothesis Testing, Regression, and Business Analytics

๐Ÿš€ Exploring ML, Time Series, and Model Deployment


๐ŸŒŸ What Iโ€™m Working On

๐Ÿ“Œ Building hands-on projects in data cleaning, analysis & visualization

๐Ÿ“š Exploring machine learning techniques and real-time data applications

๐Ÿ“Š Designing interactive dashboards in Power BI for business insights

โœจ Lifelong learner with a problem-solving mindset


๐Ÿ’ผ Tools I Use


๐Ÿ“ˆ GitHub Stats

GitHub stats Top Languages

Contribution Graph


๐Ÿ”— Let's Connect

LinkedIn

"Data is the new oil, and I love refining it into insights!"

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  1. Diwali_sales_analysis Diwali_sales_analysis Public

    Analyzed companyโ€™s Diwali sales data to uncover customer purchasing patterns and product performance. The project involved data cleaning, EDA, and visualization using Python libraries (Pandas, NumPโ€ฆ

    Jupyter Notebook

  2. FMCG-Sales-Dashboard FMCG-Sales-Dashboard Public

    Built an interactive dashboard in Power BI to analyze FMCG sales trends. Visualized KPIs like revenue, units sold, and average price with dynamic slicers for region, brand, category, and year. #Powโ€ฆ

  3. titanic-survival-eda titanic-survival-eda Public

    Explored the Titanic dataset using Python and Pandas to uncover survival patterns. Performed data cleaning, feature engineering, and EDA with visualizations. Identified key factors like gender, claโ€ฆ

    Jupyter Notebook