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IPL 2026 Data Analysis & Power BI Dashboard
Built an interactive Power BI dashboard by transforming messy IPL 2026 data into clean, analysis-ready datasets.
• Cleaned and standardized inconsistent raw data, missing values, duplicates, and formats
• Used Excel, Power Query & Pandas for data cleaning and transformation
• Performed team, player, batting, bowling, match and venue analysis
• Created interactive Power BI dashboards with DAX, KPIs, filters and visualizations
• Converted raw data into clear, actionable insights through data storytelling
Tools: Excel | Power Query | Pandas | Python | Power BI | DAX
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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Too many businesses try to build complex predictive AI models before their basic data pipelines are even functioning. You cannot skip the fundamentals.
The Data Hierarchy of Needs for scaling SMBs:
Level 1: Stable Collection (SQL) — Your database health and data pipelines. If your raw data is broken, everything built on top of it will fail.
Level 2: Data Governance (Python) — Enforcing uniform definitions, cleaning messy data, and ensuring total integrity.
Level 3: Automated BI (Power BI) — Moving away from manual spreadsheets to automated executive views and daily KPI tracking.
Level 4: Predictive Insights (AI / ML) — Churn models and forecasting. This only generates ROI if levels 1 through 3 are rock solid.
Stop wasting time on manual data entry and broken reports. If you are stuck at Level 1 or 2, I can help you scale up. Check out my Contra services to get your SQL pipelines automated and your Power BI dashboards built right the first time.
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Built a demo trading web app for client related to his university project. This is just a demo trading platform built with Next.js + Python
Building a real-time trading interface with Next.js and Python is a killer stack for university-level projects! Next.js keeps the frontend responsive for high frequency price updates while Python handles data processing cleanly. Very sleek work on the execution