This repository contains a collection of end-to-end data science and analytics projects focused on solving real-world business problems using Python, SQL, and machine learning.
These projects demonstrate skills across:
- Data analysis
- Machine learning
- SQL analytics
- Data visualization
- Web scraping
- Natural language processing (NLP)
Goal:
Predict which customers are likely to churn and identify key drivers behind customer loss.
Key Work:
- Exploratory Data Analysis (EDA)
- Feature engineering
- Model training and evaluation
Outcome:
Improved ability to identify at-risk customers and support retention strategies.
Goal:
Analyze sales data to extract key business insights and performance metrics.
Key Work:
- Wrote SQL queries to analyze revenue, orders, and customer behavior
- Identified trends and performance patterns
- Generated KPIs for business decision-making
Outcome:
Provided insights into sales performance and customer trends.
Goal:
Track and analyze key performance indicators (KPIs) for an e-commerce business.
Key Work:
- Data cleaning and transformation
- KPI calculation (revenue, orders, conversion rates)
- Data visualization
Outcome:
Delivered a clear overview of business performance through visual insights.
Goal:
Collect and analyze market data from online sources.
Key Work:
- Web scraping using Python
- Data cleaning and structuring
- Exploratory analysis of collected data
Outcome:
Built a dataset from raw web data and extracted useful insights.
Goal:
Analyze text data and classify sentiment (positive/negative).
Key Work:
- Text preprocessing
- Feature extraction
- Model training and evaluation
Outcome:
Developed a text classification model for sentiment prediction.
- Programming: Python, SQL
- Libraries: Pandas, NumPy, Scikit-learn
- Visualization: Matplotlib, Seaborn
- Other: Git, GitHub, Jupyter Notebook
I am a Data Scientist focused on building practical, business-oriented solutions using data.
My goal is to apply machine learning and analytics to solve real-world problems and support decision-making.
- Email: stojkoski.trpo@gmail.com
- LinkedIn: https://www.linkedin.com/in/trpo-stojkoski/