Ankita Banubakode
"Data-focused analyst with strong QA experience."
New to Contra
Ankita is ready for their next project!
Recently completed a Call Centre 2023 analysis project using Excel, where I explored call trends, customer ratings, representative performance, and city-wise insights.
🔹 Built an Excel Data Model & DAX measures
🔹 Created interactive PivotTables, KPIs & slicers
🔹 Analyzed monthly trends, ratings, caller demographics & representative performance
🔹 Converted raw data into meaningful business insights
🛠️ Tools: Excel | PivotTables | Data Model | DAX | Data Visualization
Another step forward in my journey of becoming a stronger Data Analyst. 🚀
#DataAnalytics #DataAnalyst #Excel #DAX #Dashboard #DataVisualization #PortfolioProject
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🎬 Netflix Titles Dashboard (Tableau)
Designed an interactive Tableau dashboard to analyse Netflix’s content library and uncover trends across genres, countries, and release years.
📊 Visualized content distribution between Movies & TV Shows
🌍 Analysed global content production with focus on top countries
📅 Identified growth trends in content additions over time
⭐ Explored ratings and genre patterns to understand audience targeting
💡 Delivered key insights on content diversity, growth, and viewing trends to support data-driven storytelling
🛠️ Tools Used: Tableau, Excel, Kaggle Dataset
🚀 Built a clean, interactive dashboard to transform raw data into meaningful visual insights
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🛍️ 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.
🔍 Performed data cleaning, pre-processing, and exploratory data analysis (EDA)
📊 Applied K-Means clustering with the Elbow Method to identify optimal customer segments
🧩 Engineered features to improve clustering performance
📈 Developed an interactive dashboard using Plotly Dash for real-time segment exploration
💡 Identified high-value and low-value customer groups, enabling targeted marketing and improved customer engagement strategies
🛠️ Tools Used: Python, Pandas, Scikit-learn, Plotly Dash
🚀 Delivered a business-focused solution for customer segmentation and data-driven decision-making
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🚀 End-to-End Data Analytics Project
Transformed raw data into actionable business insights using a structured analytics pipeline:
Data Exploration → EDA → Advanced Analytics → Reporting
🔍 Conducted database exploration, schema analysis, and KPI identification
📈 Performed trend analysis, cumulative analysis, and performance benchmarking
🧩 Applied segmentation and part-to-whole analysis for deeper insights
📊 Delivered business-ready reporting and dashboard-ready outputs
🛠️ Tools Used: MS SQL Server
💡 Enabled data-driven decision-making through structured analysis and meaningful insights.
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