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"I Developed An Automated Python Pipeline To Process And Categorize Over 1,000 Customer Reviews. Using The Pandas Library, I Built A Logic-Based Scoring System That Translates Raw Text Into Actionable Sentiment Insights, Helping Product Teams Identify Critical Issues In Real-Time."
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Here is my first template for ElevenLabs and Contra contest
It turns the book cover layout into a series of social post: 4:5, 16:9 stills and 9:16 video with animated cover.
The template is done in a way to analyze your cover and adjust the setting and color to fir it.
It is oriented on independent book authors who need to promote their books with no publishers and limited budget. Though, the template only creates the cover, the overall flow and template instruments give this audience creative freedom for promotion – I give some ideas that go beyond this exact template in the video.
I was inspired by my friend Anna who is going to publish her first book this summer.
I can see this being so helpful for authors!
IPL Sports Data Analytics & Performance Dashboard (Excel)
An interactive sports analytics dashboard designed in Microsoft Excel to analyze Indian Premier League (IPL) match data and historical trends.
Key Insights :
Total matches played over time and season-wise performance trends.
Detailed analysis of toss decisions (Bat vs. Field) and their impact on match outcomes.
Top-performing teams, stadiums with highest match counts, and historical victory metrics.
Built using dynamic Pivot Tables, advanced formulas, custom charts, and interactive slicers for seamless data exploration.
The toss decision analysis is such a smart angle — that 59% vs 41% split tells a story most people overlook. Love how the slicers make it easy to explore by city and year. Clean, well-structured work!
Coffee Shop Performance Dashboard
Created an interactive business intelligence dashboard in Excel to analyze coffee shop operations. Tracked over 149K orders to uncover key insights, including peak sales hours, top revenue-generating items, and location-wise sales metrics.
149K orders analyzed and the peak hour insight at 10 AM is so actionable — that's exactly the kind of detail that helps a business owner make real decisions. The color theme matching the coffee brand is a nice touch too!
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