🎓 Mathematics graduate transitioning into Data Analytics and Data Science.
I enjoy working with data to uncover patterns, solve analytical problems, and turn data into actionable insights. My background in mathematics gives me a strong foundation in statistics, quantitative reasoning, and problem-solving, while my hands-on projects have helped me develop practical skills in SQL, Python, data visualization, statistical analysis, and machine learning.
I'm currently building my career in data, with an interest in Data Analytics, Business Intelligence, and Data Science, particularly in roles where statistical thinking and machine learning can be applied to real-world problems.
SQL · Python · PostgreSQL · Power BI
End-to-end e-commerce analytics project exploring sales performance, customer behavior, and business insights.
Python · Statistics · Data Visualization
Exploring employee behavior, attrition patterns, and data-driven insights to support people-related decision making.
Python · Machine Learning · XGBoost · Streamlit
An end-to-end machine learning project for detecting and diagnosing machine failures, including feature engineering, model evaluation, and deployment.
A collection of projects covering different areas of data analytics, statistics, and machine learning:
- Fraud Detection — Classification, feature engineering & imbalanced data
- Telecom Customer Churn — Customer analytics & classification
- Online Shoppers Purchasing Intention — EDA, statistical analysis & classification
- Airline Customer Segmentation — Clustering & unsupervised learning
- Customer Insights for E-Commerce — SQL & Tableau
Data Analytics
SQL · Python · Pandas · NumPy · Excel
Statistics & Analytics
Exploratory Data Analysis · Hypothesis Testing · Statistical Analysis · Regression
Machine Learning
Classification · Clustering · Feature Engineering · Model Evaluation · XGBoost
Business Intelligence & Visualization
Power BI · Tableau · Matplotlib · Seaborn
Tools
PostgreSQL · Git · GitHub · Streamlit
I'm currently looking for opportunities to start my professional career in data, particularly in:
- Junior Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Junior Machine Learning / Analytics roles
I'm especially interested in opportunities where I can combine my background in mathematics and statistics with practical data analysis and machine learning.
- Strengthening SQL and analytical problem-solving
- Deepening my understanding of statistics and machine learning
- Building end-to-end data science projects
- Improving data storytelling and business communication
- Preparing for a professional career in Data Analytics and Data Science
I'm open to opportunities, collaborations, and conversations around data analytics, statistics, and data science.