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Hack Summit 6.0

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I contributed across multiple areas of the project lifecycle:

Data Preparation & Cleaning: Handled preprocessing of raw datasets using Python (pandas, NumPy), including managing missing values and standardizing formats.

Exploratory Data Analysis (EDA): Identified key trends and correlations that shaped our predictive modeling approach.

Machine Learning: Helped design and tune regression models in scikit-learn to forecast outcomes and measure feature importance.

Visualization & Dashboarding: Built interactive dashboards in Power BI/Tableau, ensuring insights were clear, actionable, and decision-ready.
Collaboration: Coordinated workflow on GitHub, wrote documentation, and aligned the team’s efforts to meet tight hackathon deadlines.

Apoorva Gangrade
Data Analyst|SQL |Python| Power Bi | MySQL |Azure Database | Numpy |Pandas| Seaborn | Matplotlib |MS Excel | Tableau| Generative AI| |

Updates

Apoorva Gangrade posted an update — Sep 01, 2025 04:07 AM EDT

InsightPulse

We’ve been making steady progress on InsightPulse, our hackathon project designed to transform raw data into real-time, actionable insights.

What’s new: Built a fully automated data cleaning pipeline in Python (pandas + NumPy) Integrated predictive models with scikit-learn for early trend detection Launched our first interactive dashboard in Power BI/Tableau for live demos Connected workflows with a lightweight Flask backend

What we’re learning: Data cleaning really does take 70% of the effort! But once the pipeline is stable, insights flow smoothly.

What’s next: We’re exploring NLP-powered queries, so users can simply ask their data questions and get instant answers.

Stay tuned for screenshots + demo links soon

HackSummit #DataScience #AI #InsightPulse

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Apoorva Gangrade started this project — Sep 01, 2025 04:05 AM EDT

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