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Achievement: StarstruckAchievement: Galaxy BrainAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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smanindokhan/README.md

πŸ‘‹ Hi, I'm Anindo

Data Analyst working across telco, food delivery, and ride-sharing, focused on solving business problems through pricing, growth analytics, and data systems.
Focused on bridging data, systems, and business decisions.

Portfolio: anindo-khan.vercel.app

πŸ”— Connect

LinkedIn

πŸš€ What I Do

  • πŸ“Š Build end-to-end analytics systems (tracking β†’ pipelines β†’ dashboards)
  • πŸ’° Work on pricing, margins, and profitability across large product catalogs
  • 🚴 Optimize marketplace dynamics (supply, incentives, allocation, performance)
  • πŸ“ˆ Analyze user behavior (funnels, cohorts, retention, attribution)
  • βš™οΈ Develop data pipelines & automation workflows across multiple sources
  • πŸ€– Automate repetitive and manual processes using scripts and workflow tools
  • πŸ” Improve data reliability, tracking, and reporting accuracy

🌍 Domain Experience

  • πŸ“‘ Telco / eSIM / Digital Products
    Pricing, product catalogs, partner integrations, affiliate tracking, analytics foundations

  • πŸ” Food Delivery Platforms
    Supply-demand optimization, rider incentives, operational analytics, marketplace performance

  • πŸš— Ride-Sharing Platforms
    Growth strategy, dynamic pricing/commissions, churn reduction, fraud detection

πŸ› οΈ Tech Stack

Data & Analytics

SQL Python Google Analytics Firebase

Data Engineering & Automation

Google Cloud dbt Airflow n8n Apps Script

BI & Visualization

Tableau Looker Metabase Redash

Spreadsheets & Analysis

Microsoft Excel Google Sheets

πŸ“Š GitHub Stats


Pinned Loading

  1. crypto-pipeline crypto-pipeline Public

    Production data pipeline: CoinGecko API β†’ PostgreSQL β†’ dbt β†’ Airflow orchestration, with 26 automated data quality tests

    Python 31

  2. ga4-analytics-pipeline ga4-analytics-pipeline Public

    End-to-end GA4 analytics stack: event taxonomy β†’ dbt models in BigQuery β†’ Looker Studio dashboard tracking funnel, retention, and revenue by channel

  3. pricing-analytics-case-study pricing-analytics-case-study Public

    Price elasticity analysis on Airbnb data β€” log-log regression finds inelastic demand (Ξ²=0.23), Monte Carlo simulation models revenue impact of pricing scenarios

    Jupyter Notebook

  4. customer-churn-analysis customer-churn-analysis Public

    Churn prediction with logistic regression (AUC 0.834) β€” identifies 2,198 high-priority customers with $196k monthly revenue at risk and ranks them by intervention priority

    Jupyter Notebook

  5. user-acquisition-funnel user-acquisition-funnel Public

    Full funnel analysis on Olist data β€” MQL to repeat purchase. CAC vs LTV by channel, channel efficiency ranking, and retention deep-dive to identify where to focus acquisition spend.

    Jupyter Notebook

  6. marketing-attribution marketing-attribution Public

    Compares first-touch, last-touch, linear, and time-decay attribution models on synthetic customer journey data. Shows how model choice directly drives budget allocation decisions.

    Jupyter Notebook