Skip to content
View Abhisonne's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report Abhisonne

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.

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
Abhisonne/README.md

Hi, I'm Abhinandan Sonne 👋

Data & Business Analyst · Python · SQL · Power BI · Tableau · Mumbai

LinkedIn


About Me

I'm a Data & Business Analyst who works across the full analytics workflow from raw data and SQL exploration to interactive dashboards that help businesses make better decisions.

I focus on turning messy data into clear, actionable insights. Whether it's identifying why customers churn, segmenting credit risk, or analysing e-commerce behaviour I approach every problem by asking "what does this mean for the business?" before touching any tool.

Currently open to Data Analyst, Business Analyst, and Financial Analyst roles.


Skills

Analytics & Visualization Power BI Tableau Excel EDA Data Visualization

Programming & Data Python SQL pandas NumPy Matplotlib Seaborn

Competencies Business Insights Financial Analysis Dashboard Design Data Cleaning Cohort Analysis


Projects

🛒 Olist E-Commerce Sales & Customer Behavior Analysis

End-to-end analysis of 99,441 real orders from Brazil's largest e-commerce marketplace. Built a complete analytics pipeline SQL data cleaning, RFM customer segmentation, Python EDA with 8 charts, and a 2-page Power BI dashboard. Key findings: Nov 2017 Black Friday spike drove R$1.18M peak revenue, SP alone = 37.4% of GMV, and Potential Loyalists generate 6.5× more revenue than Champions despite similar group size.

Tools: SQL (SQLite · DBeaver) · Python · pandas · matplotlib · Power BI

View Repository


📊 Customer Churn Analysis - Telecom

End-to-end churn analysis for a telecom company with 7,043 customers. Identified contract type as the #1 churn driver (month-to-month customers churn at 38% vs 9% for annual contracts). Found that price is NOT a churn driver both groups pay ~$68/month shifting the business recommendation from price cuts to engagement and commitment strategies.

Tools: Python · Tableau · pandas · Matplotlib · Seaborn

View Repository · Live Tableau Dashboard


💳 Credit Risk Analysis & Segmentation Dashboard

Analysed customer financial behaviour to identify drivers of credit delinquency. Built an interactive Power BI dashboard segmenting customers into High, Medium, and Low risk tiers. Found that liquidity indicators are stronger predictors of default than demographic attributes.

Tools: Python · Power BI · pandas · Excel

View Repository


Currently

Open to opportunities in Data / Business / Financial Analysis in Maharashtra (or remote). Feel free to reach out on LinkedIn!

Pinned Loading

  1. olist-ecommerce-analysis olist-ecommerce-analysis Public

    End-to-end data analyst project - SQL • Python • Power BI

    Jupyter Notebook 1

  2. credit-risk-analysis-dashboard credit-risk-analysis-dashboard Public

    Credit risk segmentation dashboard using Python and Power BI

    Jupyter Notebook 1

  3. Customer-Churn-Analysis Customer-Churn-Analysis Public

    End-to-end customer churn analysis using Python and Tableau

    Jupyter Notebook 1