Mark Krupinski Email & Phone Number

New York, New York, United States

New York, New York, United States

• Created, maintained, documented, and deployed an internal Python Package containing useful functions,connections to KDB, SQL, and internal APIs which allowed for increased efficiency in projects by the team.
• Modernized key data pipelines using KDB, SQL, and Python that handle essential manager-level performance andpositions data used across the fund ensuring higher data quality, faster performance, and ease code maintenance.
• Developed and deployed a Random Forest Model to detect anomalous same-day P&L positions reducing the amount of incorrect positions reported
• Implemented, documented, and enforced development best practices including Git, CI/CD, PEP8/PythonStandards, Unit Testing, and lean code across our code base and taught co-workers related best practices.
• Developed the top-viewed Power BI Dashboard at the firm to allow stakeholders the ability to view key factorsdriving portfolio manager performance for custom time periods on demand
• Communicated and developed critical reports using Python, Excel, KDB, and SQL on internal traders, portfolio managers, and expenses to executive stakeholders to provide a snapshot of the fund’s performance over time.

Newark, New Jersey, United States

Newark, New Jersey, United States

• Clustered life insurance underwriting decisions using k-means and displayed resulting analysis in a Tableau dashboard to identify any anomalies in underwriting decisions.
• Developed a tool using Tkinter and Pandas within Python that allows auditors to perform ‘self-service’ SOX reconciliations.
• Created Power BI dashboards integrating internal data sources and external news APIs to provide a comprehensive overview of Vendor Risk.
• Analyzed customer complaints using sentiment analysis and n-grams in Python to determine topics of focus on future audits.
• Created a data pipeline and Tableau dashboard demonstrating audit coverage and status.

Hoboken, NJ

• Part of the DCInbox Team under Professor Lindsey Cormack
• Developed a visualization using Shiny in R to demonstrate the differences in congressmen correspondence following the 2008 and 2016 presidential elections.

• Grades all classwork and homework for MA134 Discrete Mathematics within one week
• Provides feedback for students on how to improve their understanding of the topics.

Hoboken, NJ

• Maintained equipment usage in the lounge to ensure all items are ready to be loaned out
• Handle general upkeep and events within the space

• Developed scripts for use on internal wiki to allow automatic picture location to a page with 75% accuracy
• Proofread and provided feedback on journal entries regarding Wikipedia editing

Newark, NJ

• Created innovative visualizations including sankeys and funnel charts within Tableau to aid auditors in their comprehensive of their audit’s subject matter.
• Queried servers to test for compliant data governance policies
• Created proof-of-concepts for unsupervised learning methods within the Internal Audit department

• Analyzed trends in Github comments to develop correlations
• Used correlations to determine distinct divisions in open-source development

Slate Hill, NY

• Enforced rules of the game at youth soccer events to ensure safe and fun play
• Provided reports of each game to refereeing commission to document statistical data
• Certified at the Grade 8 USSF Level

Middletown, NY

• Maintained and filed records of public projects to ensure easy access to documents
• Inputted data into excel regarding monetary transactions

Master Of Science - Ms, Analytics, 3.83

Concentration in Business Analytics

Bachelor’S Degree, Computational Science, 3.67

Activities and Societies: The Stute, SIT-TV, Pinnacle Scholars, Student Government Association, Chi Psi Fraternity, Student Faculty.

High School

Activities and Societies: Youth in Government, Robotics Club, MVTV Tech Crew, National Honor Society