Completed 10 professional tracks covering Python development, data analysis, data engineering, and visualization. These certifications demonstrate proficiency in building data-driven applications, analyzing complex datasets, and creating interactive visualizations.
Core Competencies: Python Programming • Data Analysis • SQL • Data Engineering • Data Visualization • Git & GitHub • ETL Pipelines • Plotly & Dash
Skills: Object-oriented programming, functional programming, list comprehensions, lambda functions, iterators, generators, error handling, file I/O, working with APIs
Skills: SQL queries, pandas DataFrames, statistical analysis, data cleaning, exploratory data analysis, data manipulation, joining datasets, aggregations
Skills: ETL pipelines, data warehousing, database design, data modeling, workflow orchestration, data quality testing
Skills: Interactive dashboards, Plotly graphs, Dash applications, callback functions, responsive web visualizations
Skills: Git workflows, branching strategies, pull requests, code reviews, collaborative development, repository management
Python, SQL
pandas, NumPy, Matplotlib, Plotly, Dash, scikit-learn
Git, GitHub, Jupyter Notebooks, command line
PostgreSQL, SQLite