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abbas99-hub/README.md

Hello I'm Abbas Behrainwala! 👋

LinkedIn

Medium

Portfolio

Welcome to my GitHub profile! I'm a Commercial Analyst with 5 years of experience in the Commercial domain, skilled in developing interactive dashboards, automating different workflows using AI, monitoring commercial business KPIs, and collaborating with cross-functional teams to drive data-driven decision-making.

🔭 What I'm Working On

  • I'm exploring AI integrated Analytics, Automation workflows use cases in different domains such as Sales, Finance, Marketing, and Retail.
  • I am working on building an end-to-end production-level dashboard from Extract, Transform, Load (ETL) data from different sources to an interactive dashboard.

🌱 What I'm Learning

  • I'm expanding my AI knowledge and exploring different tools such as Claude Code, N8N, and many more to enhance the accuracy and quality of my Analytical projects.

🚀 My Projects

💼 My Experience

  • Sales Planning Analyst at e& Etisalat: 11/2023-11/2026

    • Built automated Power BI dashboards for senior leadership, enabling real-time tracking of sales performance, account growth, revenue trends, target achievement, and pipeline health.
    • Analyzed commercial performance across 300+ enterprise customer accounts using Microsoft Dynamics CRM data to monitor pipeline revenue development and account growth opportunities.
    • Designed and deployed automation workflows for recurring reporting tasks, cutting processing time by 40%.
    • Partnered with Sales, Finance, and Business teams to evaluate commercial performance and flag business risks, contributing to a 20% improvement in customer revenue.
    • Developed and maintained Power BI reporting solutions using SQL, DAX, and Power Query, incorporating data validation checks to improve consistency and reliability of recurring reports.
    • Leveraged AI tools to accelerate recurring KPI analysis and anomaly investigation, using structured prompts and validated business metrics to improve the speed and consistency of analytical reporting.
  • Data Analyst at Peopleblox: 6/2022-6/2023

    • Built and maintained data pipelines to extract, transform, and load data from various data sources like databases, spreadsheets, and APIs using Databricks, Google Cloud.
    • Extracted insights from website clickstream data, resulting in a 30% improvement in decision-making.
    • Delivered an A/B Testing tool to test the impact of different training programs on employee skills acquisition, job performance, and satisfaction. Techniques used: Hypothesis Testing, T-Test, Chi-Square Test, P-Value, Normal Distribution.
    • Presented findings to optimize the website user experience and increased conversion rate by 15%, by creating an interactive dashboard.
    • Performed cohort analysis for customer retention, which resulted in 40% of customers from Q1 remaining active after nine months.
    • Tools used: Python, SQL, Power BI, VBA, Data Modeling, Descriptive Statistics, Alteryx, and MS Excel.
  • Data Analyst at Litmusblox: 8/2020-6/2022

    • Developed and implemented a Job Recommendation System that increased candidate-job matching accuracy by 30%.
    • Conducted A/B tests on different product features processes, resulting in a 12% increase in conversion rate.
    • Presented insights from website clickstream data, resulting in a 30% improvement in decision-making..
    • Developed a predictive model that accurately identified potential churn cases with an 85% accuracy rate .
    • Identified critical company KPIs for revenue, customer acquisition, and customer satisfaction.
    • Enhanced user insights, contributing to a 10% increase in personalized user experiences .
    • Created pivot tables and charts to visualize KPIs, resulting in a reduction of manual reporting effort by 40%
    • Tools used: AB Testing, Power Query, SQL, MS Excel, Clustering, Scikit-Learn, Machine Learning, TensorFlow.

📚 Languages & Tools

Python logo scikit-learn logo Keras logo Microsoft Power BI logo

📝 My Medium Articles

  • Check out my latest articles on Medium where I share insights and tutorials related to Commercial analytics, data science, and AI Automation workflows.

📫 How to Reach Me

🤝 Let's Connect

  • I'm always interested in connecting with BI professionals and researchers in the field of Analytics.
  • Feel free to reach out if you have any questions, project ideas, or opportunities for collaboration!

Pinned Loading

  1. Real-World-SQL-Case-Study-HR-Employee-Data Real-World-SQL-Case-Study-HR-Employee-Data Public

    Jupyter Notebook 1 1

  2. HR-Job-Salary-Analysis-using-SQL-Power-BI HR-Job-Salary-Analysis-using-SQL-Power-BI Public

    This project focuses on analyzing job salary data from Indeed using Python, Selenium, and SQL, and visualizing the results in Power BI. The data is scraped from Indeed job postings, pre-processed u…

    Python 1

  3. Job-Recommendation-System Job-Recommendation-System Public

    This repository contains the code and instructions to build a job recommendation system using machine learning. The system is designed to provide personalized job recommendations based on user pref…

    Jupyter Notebook 65 30

  4. Supply-Chain-Analytics Supply-Chain-Analytics Public

    In this article, we explored a comprehensive supply chain analytics project, encompassing data extraction, ETL using Python, loading data into Snowflake, and creating an interactive dashboard with …

    PowerShell 10 2

  5. Bike-Sales-Analysis-Dashboard Bike-Sales-Analysis-Dashboard Public

    This Power BI project aims to create a comprehensive sales analysis dashboard using the provided dataset. By visualizing the sales data through various perspectives, the dashboard will enable users…

    1 1

  6. Call-Centre-Trends-Analysis-using-PowerBI Call-Centre-Trends-Analysis-using-PowerBI Public

    This Power BI project aims to analyze a comprehensive call center dataset with features including Call ID, Agent, Date, Time, Topic, Answered (Y/N), Resolved, Speed of Answer (seconds), Avg Talk Du…

    1