I'm a data science enthusiast with a passion for uncovering insights from data and building predictive models.
Currently, I'm sharpening my skills in Python for Data Analysis & Machine Learning, working on real-world datasets to solve problems and tell compelling stories through data visualization.
- π Learning: Python, Pandas, Matplotlib, Seaborn, Scikit-learn
- π Interests: Exploratory Data Analysis (EDA), Machine Learning, Predictive Modeling
- π‘ Curious about: Extracting actionable insights from messy data
- π± Currently Exploring:
- Building predictive models for regression & classification
- Advanced libraries like TensorFlow and Prophet
- Working with large datasets & integrating external features for improved accuracy
- β‘ Fun Fact:
I love breaking down complex problems into simple, actionable steps.
When I'm not coding, you'll find me reading about AI trends or exploring new datasets.
(Pandas is my favorite libraryβit's a game-changer for data manipulation!)
Analyze YouTube trending videos across regions using Python and YouTube API.
- Collects, cleans, and visualizes trending video data
- Shows trend patterns and engagement metrics over time
- Tech Stack: Python, Pandas, Matplotlib, YouTube API
Implementing both extractive and abstractive summarization on the CNN/Daily Mail dataset.
- Built and compared different summarization techniques
- Applied deep learning and NLP libraries for automated summarization
- Tech Stack: Python, TensorFlow, NLP, Deep Learning
A dashboard to track ad performance and optimize marketing campaigns.
- Created interactive visualizations in Tableau
- Provided actionable insights for budget allocation and targeting
- Tech Stack: Tableau, SQL
| Role | Company | Duration |
|---|---|---|
| Data Analyst Intern | DevelopersHub Corporation | Mar 2025 β Apr 2025 |
| Prompt Engineering Research Intern | Excelerate | Jun 2025 β Jul 2025 |
| Data Visualization Analyst & Team Lead | Excelerate | May 2025 β Jun 2025 |
| AI Data Insights Intern | Excelerate | May 2025 β Jun 2025 |
| Data Analyst Associate Intern | Excelerate | Jul 2025 β Aug 2025 |
| Data Science Virtual Experience | British Airways, Tata Group, Deloitte | Apr 2025 β May 2025 |
π‘ Key Highlights:
- Deployed 8 ML models across HR, Finance, Healthcare, and NLP domains.
- Built classification models for employee attrition & loan default prediction.
- Performed EDA on real-world datasets like Titanic & Airbnb.
- Created interactive dashboards in Tableau and Looker Studio.
- Optimized marketing ROI through data storytelling & actionable insights.
Here are some of my notable certifications:
- Google Prompting Essentials Specialization β Coursera
- Tata GenAI Powered Data Analytics Virtual Program β Forage
- Tableau Data Visualization Virtual Internship β Tata Group
- British Airways Data Science Virtual Experience β Forage
- Deloitte Data Analytics Job Simulation β Forage
π Full list available in my Portfolio.
Check out my portfolio website for more projects and dashboards:
π fouzia-ashfaq.github.io
β Thanks for visiting my GitHub profile! I'm always open to collaboration and new learning opportunities.
β "Data is the new oil, but insights are the fuel."