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Movie Industry Data Storytelling & Analytics
I developed a comprehensive data storytelling project analyzing 10,000+ movies using Python (Pandas, Matplotlib, Seaborn, Plotly) to uncover actionable insights for commercial decision-making in the entertainment industry. The analysis transforms raw movie metadata into strategic business intelligence through advanced data cleaning, statistical analysis, and publication-ready visualizations.
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Dylan – Cinematic Transformation Series
For this challenge, I created two high-impact 9:16 AI freestyle cinematic variations using Dylan as the central character.
Both videos focus on transformation, intensity, and strong visual storytelling within a short-form format (under 15 seconds), designed to maximize scroll-stopping impact and emotional engagement.
Each variation explores a different creative direction while maintaining strong visual control, AI effect precision, and impactful pacing.
[Template 1 ]
[Template 2]
Project Title: Blinkit Grocery Sales Analysis Dashboard
Project Summary:
This interactive dashboard provides a comprehensive analysis of $1.20M in total sales for Blinkit, transforming raw retail data into actionable business intelligence.
Core Focus
Sales Performance: Tracking key KPIs including Average Sales ($141) and Customer Ratings (3.9).
Inventory Insights: Analyzing performance across 8,500+ items, highlighting top categories like Fruits and Snack Foods.
Outlet Analytics: Evaluating revenue distribution across Outlet Sizes (Small/Medium/High) and Geographic Tiers (Tier 1–3).
Trend Mapping: Visualizing establishment growth and outlet types (Grocery vs. Supermarkets) to identify high efficiency locations
Solid breakdown of KPIs — especially tying outlet size and geographic tier into performance.
I’m curious: did you look at whether customer ratings correlate with revenue per outlet tier? Sometimes high-rating stores in Tier 2/3 outperform purely due to loyalty concentration...
Data-Driven Sales Dashboard & Conversion Funnel Analysis: Following a deep dive into the client's sales and operational data, I developed this interactive dashboard to visualize key performance indicators (KPIs) in real-time. The tool provides business owners with a clear view of their conversion funnel—tracking the exact journey from initial conversations to calls and booked appointments. By highlighting daily trends, drop-off points, and conversion rates, this custom analytics solution empowers the management team to stop guessing and start making informed, data-backed decisions to optimize their sales pipeline.
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