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adnanabbas0398/README.md

👋 About Me

I'm a Business Analyst & Data Analyst with 2+ years of experience turning messy data and complex business problems into clear insights and actionable solutions. I work at the intersection of data, strategy, and people — bridging technical teams and business stakeholders in agile environments.

  • 💼 Currently Business Analyst (Intern) at Fortray Global Services Ltd, Dublin
  • 🎓 MSc Business Analytics — University College Cork, Ireland
  • 🏅 Salesforce Certified Tableau Data Analyst
  • 📊 Passionate about BI dashboards, process improvement, and predictive analytics
  • 🎯 Open to opportunities in Business Analysis and Data Analytics
  • 📍 Based in Cork, Ireland · Full Working Rights
  • 📫 LinkedIn · adnanabbas0398@gmail.com

🛠️ Tools & Skills

Python SQL Tableau Power BI Excel Microsoft Fabric DAX Figma Jira Jupyter Git

Business Analysis: Requirements Gathering · User Stories · Process Mapping · Acceptance Criteria · Gap Analysis · Stakeholder Management · UAT Coordination · RAID Management

Data & Analytics: Predictive Modelling · Regression Analysis · Anomaly Detection · Data Cleaning · Dashboard Design · KPI Reporting · DAX · Power Query · Dataflow Gen2

Methodologies: Agile · Scrum · Sprint Planning · Backlog Prioritization · SDLC

🏅 Certifications

  • 🔵 Salesforce Certified Tableau Data Analyst (Jan 2026)
  • 📘 CBAP Training — Simplilearn
  • ⚡ Agile Scrum Master (ASM) Training — Simplilearn
  • 📊 Business Analytics with Excel · SQL · Statistics for Data Science

🚀 Featured Projects

Project What I Did Tools
🍽️ Restaurant Management System End-to-end BA case study — process mapping, user stories, Tableau dashboards for multi-city restaurant digitisation Tableau, Excel, BA Docs
🌦️ Smart Weather Platform Multi-persona analytics platform with predictive weather insights for retail, events & healthcare Analytics, User Personas
📈 Restaurant Tips Predictor Regression model to predict tips — data cleaning, encoding, and model evaluation Excel, Predictive Analytics
🔍 YouTube Anomaly Detector Python tool using Z-score analysis to detect anomalous spikes in YouTube channel metrics Python, YouTube API
🛡️ Toxic Comment Classifier ML pipeline using TF-IDF + Logistic Regression for Trust & Safety abuse detection Python, scikit-learn, NLP

📊 GitHub Stats

🤝 Let's Connect

LinkedIn GitHub Email

Popular repositories Loading

  1. Restaurant-Management-System Restaurant-Management-System Public

    End‑to‑end Restaurant Management System case study featuring business analysis, process mapping, user stories, acceptance criteria, and reporting. Includes Tableau dashboards, Excel visualizations,…

  2. Smart-Weather Smart-Weather Public

    Smart Weather is a multi‑persona analytics platform that aggregates weather data, delivers predictive insights, and supports retail, events, and healthcare users. Includes user personas, epics, use…

  3. Predicting-restaurant-tips-using-predictive-analytics Predicting-restaurant-tips-using-predictive-analytics Public

    Excel‑based predictive analytics project using a restaurant tips dataset. Includes data cleaning, identifying dependent/independent variables, encoding categorical fields, building a regression mod…

  4. Youtube-anomaly-detector Youtube-anomaly-detector Public

    Python tool that pulls YouTube channel data via API and detects anomalous view/like/comment spikes using Z-score analysis

    Jupyter Notebook

  5. toxic-comment-classifier toxic-comment-classifier Public

    ML pipeline that classifies YouTube/online comments as toxic or clean using TF-IDF and Logistic Regression — built for Trust & Safety abuse detection context

    Jupyter Notebook

  6. adnanabbas0398 adnanabbas0398 Public