Data Scientist

Data Analytics Mason, Ohio, United States

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Summary

Currently collaborating with an Elevator Company to understand the callback process in order to plan robust maintenance operations by
exploring 2 years worth of data leveraging advanced analytical skills.
Conducted in-depth data analysis and replay of trades in the error table, applying manual methods and SQL in the absence of front-end
operations to ensure accuracy and integrity of trade data.
Extracted and analyzed data to identify and categorize issues for testing teams, prioritizing them based on a text analysis of the issue
description to support efficient problem-solving and data-driven decision making.
Employed automation and Python programming to develop a project aimed at optimizing data processes, resulting in a 50% reduction in
turnaround time. This improved data quality and efficiency.
Debugged and enhanced applications and resolved user issues to decrease the number of issues by 25%.
Developed an analytical model for reporting of support tickets, increasing efficiency of resolving issues by 10%.
Executed complex SQL queries in PL/SQL developer scheduling weekly refreshes to streamline data operations and increase efficiency
by 50%.

Expectations

I am enthusiastic about data science. I enjoy adopting to
new programming languages and expanding my collection of tools for analyzing data. At my previous job, I worked with the customers directly to analyze trade data to support data driven decision making.
I enjoy being a part of new technologies and trying out innovative solutions. I am interested in artificial intelligence after learning about machine learning in my studies and eager to use AI in a more practical capacity. AI automates data collection, but in my opinion, AI lets me focus on the most exciting part of the job, which is data oversight. I hope I can help pioneer more uses of AI and machine learning within the company.