Personal details
Alexander A.
Summary
I am a well rounded Data Scientist with more than 5 years of expertise in Data Science, Data Analytics, Data Engineering. Routinely utilizes these skills over a variety of technologies including Python, SQL, PowerBI and other systems/software suites/languages.
I've applied machine learning algorithmns to extract strategic insights that lead to a 40% increase in employee tenure as a result of insight implemnetation. I've run data automation systems that delivered over 31 weekly reports. I've built ETL pipelines to simplify financial treasury tabulation. I've done many things beyond that. I
Creative problem solver, highly communicative and approachable. Currently exhibits interpersonal and extensive technological proficency by teaching Data Science for University of Texas's Data Science and Business Analytics Bootcamp. Besides acquiring exposure to new skills on the job, I have become adept at Webscraping, Async IO, Matrix Operations, NLP ( personal exploration and application) and Local Gen AI (completion of a certification course).
Work Experience
- Engages as leader/mentor of mentorship groups (20+ enrolled students per group). Serves as SME for Data Science and Data Analysis (Python, SQL, Tableau). Subcontracts for University of Texas at Austin
- Anticipates potential pitfalls regarding key data science and analysis concepts. Plans alternate methods of material delivery
- Leads weekly knowledge transfer sessions.
- Drafts/edits lecture material and provides additional resources for reference for application of data science principles. Presents lecture material.
- Keeps students engaged by providing real-life examples of concepts and gives application tips
- Built an advanced multi-dimensional workflow using Python, NLP Packages, Excel, and Power Query. Utilized NLP & LLM (NLTK, Spacy) to tag text data for relevancy, improving automatic data delivery and manipulation, thereby reducing employee workload by 30 hours per week for the finance team. Strengthened the data footprint in the Financial department to enhance business process improvement.
- Created two Python scripts for ETL processes on financial transaction data, recovering 4 hours per week and mitigating manual entry risks.
- Developed an innovative ETL pipeline that transformed PDF financial reports into structured SQL databases, enhancing data reliability.