About Me
I’m a Data Analyst & Business Intelligence Specialist with strong skills in SQL, Python, R, Tableau, and Power BI. I focus on transforming raw data into actionable insights and building recruiter‑ready dashboards and portfolios. Multilingual in English, Italian, and Urdu, I combine technical expertise with visual storytelling and branding to deliver impactful analytics solutions.
Data Analyst & Business Intelligence Specialist
Focused, strategic, and detail‑oriented — I thrive on building clean, recruiter‑ready portfolios and dashboards that tell a story.
- Birthday: 17 Oct 2003
- Website: ribbalali.github.io
- Phone: +39 351 225 9198
- City: Brescia, Italy
- Age: 22
- Specializations: 34 Professional Certificates — Google Data Analytics, SQL, Python, BI & AI.
- Email: aliribbal2@gmail.com
- Freelance: Available
I turn complex data into clear, actionable insights using SQL, Python, R, Tableau, and Power BI. With strong foundations in Google Career Certificates and hands‑on projects, I blend technical precision with visual storytelling to deliver recruiter‑ready portfolios and business solutions that drive real impact.
Case Studies Completed end‑to‑end projects
Certificates Google & BI specializations
In Progress Ongoing courses & capstones
Core Tools SQL, Python, R, Tableau, Power BI, Excel, Git, Notion
Skills
Core technical and analytical skills developed through 34+ professional certificates, case studies, and hands‑on projects.
Resume
I’m a Data Analyst with strong skills in SQL, Python, R, Tableau, Power BI, and Excel. I enjoy turning complex data into clear insights and practical recommendations, combining technical accuracy with a focus on storytelling and business impact.
Summary
Ribbal Ali
Detail‑oriented Data Analyst with hands‑on experience in quality control, predictive modeling, dashboards, and business intelligence. I’ve built a strong foundation through Google Career Certificates and other professional certifications, always focusing on creating recruiter‑ready portfolios and delivering solutions that make a difference.
- Brescia, Lombardy, Italy
- +39 351 225 9198
- aliribbal2@gmail.com
Education
IPSIA – Operio Meccanici
2020 – 2023
Brescia, Italy
Completed a 3‑year technical program in mechanical operations, where I gained practical experience with industrial processes and quality control methods.
Professional Certificates & Specializations
2022 – 2025
Google Career Certificates & Coursera
- Google Data Analytics Professional Certificate (8 courses + Capstone)
- SQL for Data Science Specialization
- Python for Everybody Specialization
- Machine Learning with Python
- Excel Skills for Business: Essentials
- Additional certifications in R, AI, Prompt Engineering, and Data Visualization
Professional Experience
Quality Control Technician
Sep 2023 – May 2024
Poli Nicoletta, Brescia
- Carried out quality checks on mechanical components to make sure they met production standards.
- Recorded inspection results and worked with production teams to quickly resolve any issues.
Quality Control Technician
Jul 2024 – Jan 2025
Idrosanitaria Bonomi S.p.A., Brescia
- Inspected hydraulic and sanitary components to ensure compliance with ISO standards.
- Helped improve processes by reporting recurring issues and suggesting practical adjustments.
Quality Control Technician
Feb 2025 – Aug 2025
Mecmotive S.r.l., Brescia
- Managed quality assurance for mechanical parts and assemblies, ensuring they met company and industry requirements.
- Worked closely with engineers to troubleshoot defects and improve efficiency through corrective actions.
- Performed dimensional checks, material inspections, and functional tests on finished components.
- Kept detailed inspection records and prepared clear reports for both management and clients.
Certificates & Specializations
A collection of my professional certificates and specializations, showcasing continuous learning in data analytics, Python, SQL, R, Excel, AI/ML, and business intelligence. Each certificate reflects my commitment to building strong technical foundations and applying them to real-world problem solving.
- Certificates
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Portfolio & Case Studies
A curated selection of my work, featuring case studies and projects that showcase skills in data analytics, visualization, and problem‑solving. Key highlights include:
- Customer Churn Analysis — built predictive models to spot at‑risk customers and guide retention strategies.
- Sales Performance Dashboard — designed an interactive KPI dashboard to support data‑driven decisions.
- Hotel Booking Case Study — part of the Google Data Analytics Capstone, focused on cleaning, exploration, and storytelling.
- Credit Card Fraud Detection — developed models on an imbalanced dataset using SMOTE and ensembles, with insights from ROC and Precision‑Recall curves.
- Spotify Tracks Case Study — explored audio features and genres to uncover what drives popularity, using models like Random Forest and XGBoost.
You can also explore my Notion Portfolio, which showcases a wider range of projects that balance analytical depth with design precision.
Notion Portfolio
A showcase of my professional journey, featuring curated projects, certifications, and case studies that highlight my skills in data analytics, visualization, and business problem‑solving.
Customer Churn Analysis Case Study
Built a predictive model to identify at‑risk customers, analyzed churn drivers, and provided actionable retention strategies using Python and data visualization.
Sales Performance Dashboard Case Study
Designed and developed an interactive dashboard to track KPIs, visualize sales trends, and uncover actionable insights for business decision‑making using Excel and data visualization best practices.
Hotel Booking Case Study — Google Data Analytics Capstone
Analyzed hotel booking data end‑to‑end, from cleaning to visualization. Delivered insights on booking trends, cancellations, and customer behavior as part of the Google Data Analytics Capstone.
Credit Card Fraud Detection Case Study
Built a fraud detection model on an imbalanced dataset using SMOTE and ensemble methods. Compared Logistic Regression, Random Forest, and XGBoost, and delivered insights with ROC, Precision‑Recall, and threshold tuning.
Spotify Tracks Dataset Case Study
Explored Spotify tracks to see what drives popularity, from audio features to genres, and built models like Random Forest and XGBoost to reveal the key factors.
Contact
Feel free to reach out to me directly using the details below.