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Ci thecss

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Data Analyst | Ex-System Analyst Transitioning into Product & Growth Analytics
  • Bengaluru
  • 01:11 (UTC +05:30)
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thecss/README.md

I'm Ci, currently transitioning into Product & Growth Analytics.

Previously, I worked for nearly three years as a System Analyst, working closely with applications and systems. Over time, I became more curious about the people behind those systems, how they interact with products, the decisions they make, and the patterns hidden in data.

I enjoy asking "why?" until I understand the problem, then using data to test assumptions, uncover insights, and support better product decisions.

🛠️ Tech Stack

  • Programming Languages - Python, SQL, Pandas, NumPy
  • Data Visualization & Dashboards - Tableau, Streamlit, Matplotlib, Seaborn
  • Databases - MySQL, PostgreSQL

Here, you'll find my data projects, dashboards, and the insights I discover along the way.

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  1. ecommerce-funnel-analysis ecommerce-funnel-analysis Public

    Python analysis measuring customer journey conversion rates to pinpoint checkout bottlenecks and identify optimization opportunities.

    Jupyter Notebook

  2. food-delivery-promotion-analysis food-delivery-promotion-analysis Public

    Analyze food delivery order data using SQL to identify restaurants and cuisines for data-driven in-app promotions

    1

  3. spotify-streaming-eda spotify-streaming-eda Public

    SQL exploratory data analysis (EDA) of Spotify streaming history to uncover user listening behavior and engagement insights

    1

  4. chocolate-sales-eda chocolate-sales-eda Public

    SQL-based exploratory data analysis of a chocolate sales dataset to uncover sales trends, product performance, market insights, and business opportunities

  5. google-play-store-market-eda google-play-store-market-eda Public

    Exploratory data analysis using Python to help a mobile app studio identify high-demand, poorly-rated app categories and size constraints.

    Jupyter Notebook

  6. nyc-traffic-safety-analysis nyc-traffic-safety-analysis Public

    Excel analysis of NYC traffic collision data uncovering seasonal patterns, weekly hotspots, and top contributing factors.

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