Ankita Banubakode's Work | ContraWork by Ankita Banubakode
Ankita Banubakode

Ankita Banubakode

"Data-focused analyst with strong QA experience."

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Cover image for ๐ŸŽฌ Netflix Titles Dashboard (Tableau)
Designed
๐ŸŽฌ Netflix Titles Dashboard (Tableau) Designed an interactive Tableau dashboard to analyse Netflixโ€™s content library and uncover trends across genres, countries, and release years. ๐Ÿ“Š Visualized content distribution between Movies & TV Shows ๐ŸŒ Analysed global content production with focus on top countries ๐Ÿ“… Identified growth trends in content additions over time โญ Explored ratings and genre patterns to understand audience targeting ๐Ÿ’ก Delivered key insights on content diversity, growth, and viewing trends to support data-driven storytelling ๐Ÿ› ๏ธ Tools Used: Tableau, Excel, Kaggle Dataset ๐Ÿš€ Built a clean, interactive dashboard to transform raw data into meaningful visual insights
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Cover image for Mall Customer Segmentation: Machine Learning with K-Means Cl...
๐Ÿ›๏ธ Mall Customer Segmentation Project Built an end-to-end machine learning solution to segment customers using K-Means clustering based on demographics and spending behaviour. ๐Ÿ” Performed data cleaning, pre-processing, and exploratory data analysis (EDA) ๐Ÿ“Š Applied K-Means clustering with the Elbow Method to identify optimal customer segments ๐Ÿงฉ Engineered features to improve clustering performance ๐Ÿ“ˆ Developed an interactive dashboard using Plotly Dash for real-time segment exploration ๐Ÿ’ก Identified high-value and low-value customer groups, enabling targeted marketing and improved customer engagement strategies ๐Ÿ› ๏ธ Tools Used: Python, Pandas, Scikit-learn, Plotly Dash ๐Ÿš€ Delivered a business-focused solution for customer segmentation and data-driven decision-making
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Cover image for Comprehensive Data Analytics: From Raw Data to Business Insi...
๐Ÿš€ End-to-End Data Analytics Project Transformed raw data into actionable business insights using a structured analytics pipeline: Data Exploration โ†’ EDA โ†’ Advanced Analytics โ†’ Reporting ๐Ÿ” Conducted database exploration, schema analysis, and KPI identification ๐Ÿ“ˆ Performed trend analysis, cumulative analysis, and performance benchmarking ๐Ÿงฉ Applied segmentation and part-to-whole analysis for deeper insights ๐Ÿ“Š Delivered business-ready reporting and dashboard-ready outputs ๐Ÿ› ๏ธ Tools Used: MS SQL Server ๐Ÿ’ก Enabled data-driven decision-making through structured analysis and meaningful insights.
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Cover image for Superstore Sales Dashboard & Forecasting๐Ÿ™Œ
Superstore Sales Dashboard & Forecasting๐Ÿ™Œ โ€ข Developed interactive dashboard analyzing 10,000+ transactions to track revenue and profit metrics. โ€ข Performed trend analysis and 15-day forecasting, reducing manual reporting effort by 40%. โ€ข Provided insights to improve inventory planning and sales monitoring.
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