Data Analyst & aspiring Data Engineer with a business background and a passion for learning.
🎓 I have a background in International Trade and over 5 years of experience in finance, reporting and business analysis.
🚀 My interest in data and technology led me to transition into the world of analytics, automation and cloud-based solutions.
🧠 I'm curious and self-taught, and I enjoy working on real-world problems using data.
🔧 I have hands-on experience in SQL, Python, Power BI and APIs — and I'm expanding my knowledge in data engineering and machine learning.
💡 My goal is to keep building smart, scalable solutions that generate business impact.
Languages & Tools
Python (Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib) • SQL (MySQL, PostgreSQL, SQL Server)
Power BI • Tableau • Excel • Power Query
Cloud: AWS (S3, boto3) • FastAPI • REST APIs
Machine Learning & NLP
Supervised Learning • Regression & Classification Models
Model Evaluation (ROC AUC, F1-score, RMSE, R²) • TF-IDF • Transformers (DistilBERT) • Prompt Engineering (LLMs)
Also practising Data Engineering concepts such as APIs, data pipelines and cloud storage.
-
Real-Time Sales Tracker API
FastAPI project that simulates real-time sales events and stores them in AWS S3 for analysis and dashboarding. -
Hospital Reviews – LLM Sentiment Analysis
NLP project using DistilBERT and logistic regression. Compared LLM outputs with baseline models using TF-IDF and evaluation metrics. -
Patient Satisfaction Analysis
Random Forest multiclass classification model using hospital service ratings. Highlights feature importance and confusion matrix analysis. -
London Bikes
Time series analysis and prediction of bike demand using historical rental data.
-
Car Sales Dashboard
Built to explore sales patterns, vehicle categories and dealership performance. -
Pizza Sales Dashboard
Tracks product sales by category, time and location. Includes filters for dynamic exploration.
-
COVID Analysis
Dashboard to visualise COVID trends across regions and highlight temporal changes. -
Newsfeed Analysis
Built to analyse user engagement metrics and content distribution on a mock news platform.
- Nashville Housing Data Cleaning
- 8 Week SQL Challenge – Pizza Runner
- 8 Week SQL Challenge – Danny’s Diner
- COVID Analysis (SQL)
- Free to Paid Conversion Rate