Data Entry Science

Thomas Hopkins Sheridan

Email: ************@*****.*** LinkedIn: https://www.linkedin.com/in/tom-sheridan/ Phone: 410-***-****

GitHub: https://github.com/tsherida2012 Location: Phoenix, AZ

I am a skilled Python developer with a firm foundation in machine learning and natural language processing (NLP), making me a strong candidate for data science roles. My strength lies in collaborative team settings, and I am dedicated to continuous learning and staying up to date with emerging technologies. I can quickly master new programming languages and tools, which I can bring reliability to Data Science.

Experience Data Entry Specialist (Contract)

Probate Advance LLC

May 2024–Present

•Manage and authored large volumes of sensitive information with confidentiality.

•Perform data audits and cleanups to ensure database accuracy.

•Streamlined data entry processes by implementing validation checks in Excel; increased accuracy to 99% and reduced data correction time by 30 hours/month.

•Established a tracking system for project milestones, enhancing visibility and productivity by 30%.

•Demonstrate strong communication capabilities through continuous interaction with team members to optimize data entry processes and through preparing comprehensive reports and summaries based on data audits.

Warehouse Worker

Amazon

May 2020–October 2021

•Completed rigorous training on daily warehouse operations, product sorting, and company logistics.

•Executed training program with warehouse staff, reducing processing errors by 20% in three months.

•Streamlined scanning, loading, and unloading processes for 500+ products daily, reducing handling time by 30%.

Bartender/Floor Staff

Regal Entertainment Group

October 2008–March 2020

•Developed a cleaning checklist, reducing cleaning time by 15 minutes per shift.

•Managed the cash register and innovated promotional offers that boosted sales, increasing profit by 20%.

IT Contractor

J.P. Morgan

August 2008–December 2008

•Applied specialized software for computer imaging and resolved software compatibility issues, reducing hardware malfunctions by 25%.

•Installed and configured 50+ computer systems, optimizing performance and reducing installation speed by 25%.

•Spearheaded the deployment of a critical infrastructure upgrade in collaboration with IT teams, enhancing system reliability and achieving a 30% reduction in downtime, resulting in consistent operations for 200+ users across departments.

•CIS Tutor.

Delaware Technical and Community College

January 2007–May 2007

• Conducted one-on-one tutoring sessions, increasing student performance in Computer Information Systems coursework by 20%.

Education Delaware Technical and Community College

Associates in Computer Information Systems

GPA: 3.4

Relevant Coursework: Java, C++, Software Engineering, Operating Systems, Algorithms

Projects:

Capstone One

•Launched a pilot pricing initiative that involved targeted areas of price improvement, directly increasing ticket sales by 20% and significantly enhancing overall revenue for Big Mountain Resort.

•Employed an assortment of tools, including Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn, to carry out tasks encompassing data wrangling, visualization, and machine learning.

•Profitably implemented a machine learning model that enhanced decision-making for ticket pricing strategies, leading to improved operational efficiencies and potential revenue growth.

Capstone two

•Developed a comprehensive predictive model that enhances financial decision-making and customer segmentation for a banking institution.

•The tools used included Applied Python, Jupyter Notebooks, Pandas for data manipulation, NumPy for numerical data handling, Matplotlib and Seaborn for data visualization, and scikit-learn for machine learning.

•Crafted a data-driven strategy that optimized bank services based on churn predictions, allowing for tailored service offerings that increased upsell opportunities and directly enhanced profitability through better resource allocation.

Certifications

•Database Design and Basic SQL in PostgreSQL - University of Michigan, 2021.

•Programming for Everybody (Getting Started with Python) - University of Michigan, 2021.

• Springboard Data Science Bootcamp October 2023-August 2024

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