An automated data engineering pipeline
An automated data engineering pipeline and interactive Streamlit dashboard for analyzing laptop market prices and specifications.
Role: Data Analyst / Python Web Developer
Tools Used: Python, Streamlit, Pandas, Data Cleaning, Data Normalization
Project Overview
Transformed a chaotic, uncleaned dataset of laptop technical specifications and market prices into an optimized, interactive analytics tool with automated data quality workflows.
Key Architecture & Execution Steps
1. Data Ingestion & Cleaning: Built automated Pandas routines to parse dirty text, handle structural anomalies, normalize formatting, and resolve missing values.
2. Pipeline Automation: Packaged the cleaning architecture into modular, reusable Python functions.
3. Web Interface & Analytics: Developed a responsive Streamlit UI with dynamic sidebar filters, real-time KPI metrics, and OS price benchmarking charts.
4. Performance & Cloud Deployment: Implemented @st.cache_data for ultra-fast queries and deployed the live app via Streamlit Cloud from GitHub.
0 likes · 0 views · Oct 24, 2026
An automated data engineering pipeline and interactive Streamlit dashboard for analyzing laptop market prices and specifications. Role: Data Analyst / Python...
