Saad Aslam Khan

With over 17 years of industry experience, I specialize in data science, advanced data analytics, machine learning, deep learning, statistical analysis, web scraping, scripting and automation, leveraging tools such as MS Excel, Google Sheets, Python, R, Tableau, and SQL-based platforms (MySQL, PostgreSQL, MS SQL Server, Teradata, AWS Athena, MongoDB, etc). My daily work involves plotting and analyzing time series data for network usage and project budget metrics, particularly for Tier 1 wireless operators in the US. My extensive experience with Python libraries like pandas, numpy, sklearn, geopandas, selenium, and beautifulsoup, combined with my proficiency in SQL and Tableau, enables me to provide insightful data-driven solutions and automate complex processes efficiently.

I hold a master's degree in Computer Science and a bachelor's in Electrical Engineering, which underpin my extensive technical skills. My expertise spans business intelligence tools like Tableau and Power BI, Python/R data visualization libraries (Matplotlib, Seaborn, Plotly, ggplot2), data analytics and blending tools such as Alteryx, and a range of database management systems. I am adept at designing and maintaining ETL pipelines, performing data wrangling, and conducting advanced statistical analysis. My background allows me to deliver high-quality visualizations and actionable insights, ensuring that data is transformed into meaningful information for strategic decision-making.

I have also worked as a senior mentor for data analytics, FinTech and AI Boot Camps and have been recognized for exceptional instruction and commitment, earning the Highest Metrics Award in 2022. I provide personalized tutoring/mentoring to students, guide them through complex problems and promote hands-on learning with emphasis on clarity, self-sufficiency, and practical problem-solving.