I build practical Python solutions for data analysis, automation, web scraping, API integration, and business reporting.
My projects focus on turning raw data and repetitive processes into structured, usable solutions — from interactive analytics dashboards to automated reporting and monitoring tools.
Portfolio: niisa0.github.io
- Programming: Python
- Data Analysis: Pandas
- Dashboards & Visualization: Streamlit, Plotly
- Web Scraping: Requests, BeautifulSoup
- Databases: SQLite
- Reporting & Data: Excel, OpenPyXL, CSV, JSON
- Tools: Git, GitHub, Logging
Interactive customer churn and retention dashboard built with Python, Pandas, Streamlit, and Plotly. Analyzes customer behavior, churn rates, contract types, tenure segments, risk patterns, and churn reasons through interactive filters and visualizations.
Business analytics platform that cleans and processes sales data, calculates key performance indicators, provides interactive analysis and visualizations, and generates automated CSV and multi-sheet Excel reports.
Python application that collects product data from an API, validates and cleans records, removes duplicates, applies filters and sorting, and exports structured CSV and JSON reports.
Python application that monitors selected webpage elements, detects content changes, stores results in SQLite, and maintains a history of recorded changes.
- Data cleaning, analysis, and visualization
- Interactive dashboards and business reporting
- Web scraping and structured data collection
- API integration and data processing
- Automation of repetitive workflows
- Portfolio: niisa0.github.io
- LinkedIn: Nisa Tek