Skip to content
View Sahajahanur's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report Sahajahanur

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Sahajahanur/README.md

πŸ’« Hi πŸ‘‹, I'm Sahajahanur Laskar

Data Analyst | Excel β€’ Power BI β€’ SQL β€’ Python | Ex-Insurance Ops β†’ Data Analytics | Business Insights & Dashboards

I turn raw data into actionable business insights through data analysis, interactive dashboards, and KPI tracking. With 5+ years of insurance operations experience at HDFC ERGO, I bring both business understanding and hands-on analytical skills.

  • πŸ”­ I'm currently working on: Data analytics projects involving business intelligence, dashboards, and SQL-based analysis.
  • 🌱 I'm currently learning: Machine Learning, advanced analytics, and Data Engineering concepts.
  • πŸ‘― I'm looking to collaborate on: Power BI dashboards, SQL projects, and business analytics use cases.
  • 🀝 I'm looking for help with: Improving data storytelling and building industry-relevant analytics projects.
  • πŸ’¬ Ask me about: Power BI, SQL, Excel, Python, KPI tracking, reporting automation, and operational analytics.
  • πŸ“« How to reach me: Connect on LinkedIn
  • ⚑ Fun fact: My journey from customer support to MIS reporting sparked my passion for transforming data into business insights.

πŸ“Š Impact Highlights

  • πŸ”Ή Reduced email response errors by 30% through root-cause analysis.
  • πŸ”Ή Saved 10+ hours per week through MIS reporting automation.
  • πŸ”Ή Analysed 45K+ customer interactions to identify trends and recurring issues.

πŸš€ Open to Data Analyst opportunities and collaborations. Let's turn data into better business decisions!

🀝 Connect with Me:

LinkedIn Email Portfolio

πŸ’» Tech Stack:

Excel Power BI SQL MySQL Python Pandas NumPy Matplotlib Scikit-learn AWS Azure Snowflake Databricks Microsoft Fabric Apache Airflow FastAPI Streamlit SQLite PostgreSQL Microsoft SQL Server Supabase GitHub

πŸ“Š GitHub Stats:

πŸ† GitHub Trophies

✍️ Random Dev Quote

Snake animation

Pinned Loading

  1. atliq-hardware-business-insights-360-powerbi atliq-hardware-business-insights-360-powerbi Public

    Comprehensive 360Β° enterprise Power BI dashboard for AtliQ Hardware across Finance, Sales, Marketing, Supply Chain, and Executive views using DAX and snowflake schema modeling.

  2. hospitality-revenue-insights-powerbi hospitality-revenue-insights-powerbi Public

    Power BI revenue analytics dashboard for AtliQ Grands luxury hotels analyzing key hospitality metrics (RevPAR, ADR, Occupancy %, Realisation %) to recover market share and cut cancellation losses.

  3. atliq-finance-supply-chain-analytics-mysql atliq-finance-supply-chain-analytics-mysql Public

    10 ad-hoc business and sales analysis SQL queries for AtliQ Hardwares evaluating product portfolio growth, channel share, seasonality, and customer discounts using MySQL.

  4. coffee-shop-expansion-analysis-sql-postgresql coffee-shop-expansion-analysis-sql-postgresql Public

    The goal of this project is to analyze the sales data of Monday Coffee, a company that has been selling its products online since January 2023, and to recommend the top three major cities in India …

  5. Data-Analysis-in-Hospitality-Domain-Using-Python Data-Analysis-in-Hospitality-Domain-Using-Python Public

    Python (Pandas) exploratory data analysis of hotel booking data for AtliQ Grands: analyzing occupancy rates, weekend demand surges, and revenue realization across Indian cities.

    Jupyter Notebook 1

  6. vendor-performance-analysis-sql-python-powerbi vendor-performance-analysis-sql-python-powerbi Public

    Analyzed vendor performance and inventory trends using SQL, Python, and Power BI to generate actionable business insights and recommendations.

    Jupyter Notebook