Skip to content
View Rahman17309's full-sized avatar
🏠
Actively Looking for Opportunity
🏠
Actively Looking for Opportunity

Block or report Rahman17309

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 supported. This note will be visible to only you.
Report abuse

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

Report abuse
Rahman17309/README.md

Data Analytics Banner

Hi πŸ‘‹, I'm MA Rahman

Dynamic Business & Data Analyst with 3+ years of experience delivering predictive analytics, KPI-driven dashboards, and automated data solutions that drive measurable business growth.

MA Rahman


πŸš€ About Me

  • πŸ“Š Business & Data Analyst specializing in Predictive Modeling, KPI Tracking & Automation
  • 🧠 Expert in Python Β· BigQuery Β· Power BI Β· Advanced Excel
  • βš™οΈ Strong experience across Retail, SaaS, E-commerce, Finance & Energy
  • 🀝 Collaborates closely with C-suite & cross-functional teams
  • 🌍 Based in Dubai, UAE

πŸ“ˆ Business Impact Highlights

  • πŸ“Š Improved customer retention by 18% using churn & CLV models
  • πŸ’° Generated AED 150K quarterly revenue via conversion optimization
  • βš™οΈ Reduced manual reporting effort by 60% through ETL automation
  • 🎯 Increased NLP classification accuracy by 20%
  • ⚑ Reduced forecasting RMSE by 15% using ensemble time-series models

πŸ’Ό Professional Experience

Data Analyst β€” PDA Infotech

πŸ“ Dubai, UAE | πŸ—“ Nov 2024 – Present

  • Designed and deployed predictive analytics & ML models (churn, CLV, segmentation, conversion)
  • Built executive-level Power BI dashboards (DAX, Power Query)
  • Automated ETL pipelines using Python, BigQuery & Google Sheets
  • Delivered forecasting, budgeting & performance models to leadership
  • Implemented data governance frameworks to improve accuracy & trust

Data Science Intern β€” AI Variant

πŸ“ Hyderabad, India | πŸ—“ Jun 2023 – Aug 2024

  • Built NLP sentiment pipelines using NLTK & Scikit-learn
  • Automated web scraping using Selenium
  • Developed LSTM, ARIMA & Prophet forecasting models
  • Created solar power and bankruptcy risk prediction systems

Business Analyst β€” Amazon

πŸ“ Hyderabad, India | πŸ—“ May 2022 – May 2023

  • Automated seller operations using Excel macros & ETL
  • Improved process efficiency by 15%
  • Designed SOPs & improved catalog data integrity

🧠 Core Skills

Languages & Tools
Python, Power BI, Advanced Excel, SQL, BigQuery

Libraries & Frameworks
Pandas, NumPy, Scikit-learn, TensorFlow, Keras
Matplotlib, Seaborn, Plotly
Streamlit, Flask, REST APIs

Cloud & DevOps
AWS, Azure, GitHub


πŸ“Œ Featured Projects

  • Bankruptcy Prevention System β€” Ensemble ML (22% accuracy improvement)
  • Apple Stock Forecasting β€” LSTM + ARIMA + Prophet (85% accuracy)
  • NLP Sentiment Analysis β€” Real-time scraping & classification
  • Solar Power Prediction β€” Deployed with Streamlit (88% accuracy)

πŸ“Š GitHub Analytics

GitHub Streak Stats


πŸ† GitHub Achievements

🌐 Connect With Me


🀝 Let’s Collaborate

Open to Data Analytics, Power BI, Machine Learning & Business Intelligence projects.

Popular repositories Loading

  1. Excelr-Solutions-Assignments- Excelr-Solutions-Assignments- Public

    EXCELR ALL ASSIGNMENTS

    Jupyter Notebook 2

  2. Rahman17309 Rahman17309 Public

  3. Basic-statistics-level-1 Basic-statistics-level-1 Public

    This repository contains exercises on statistical analysis and probability calculations. Each question is answered with detailed explanations, covering topics like data types, probability distribut…

    Jupyter Notebook

  4. Apple-stock-forecasting-project- Apple-stock-forecasting-project- Public

    Jupyter Notebook

  5. Bankruptcy-Prevention-Project Bankruptcy-Prevention-Project Public

    Jupyter Notebook

  6. Portfolio.github.io Portfolio.github.io Public

    HTML