Thomas Kelly

Hoboken, NJ 07030 · (412) 398-7270 · tkelly364@gmail.com

I'm an aspiring data scientist with 7 years of experience in financial technology, and though my career is still relatively young, I've already spent a great deal of time working with a variety of different types of data to achieve a wide array of desired solutions. Whether it be back-testing new investment theses on historical market returns, breaking down commissions or PnL by sector/trader, or querying CRM-related data to understand how sales staff can best use their time, I've seen firsthand the importance of data, the insights that we can extract from it, and the value that those insights can deliver to a firm's bottom line.

Experience

Data Science Fellow

General Assembly

  • Participated in a full time immersive course that provided practical training in the fundamentals of Data Science.
  • Covered a wide-array of topics, including the data science workflow, machine learning, natural language processing, web scraping, statistical data analysis, and data visualization.
  • Worked extensively with Python, including libraries Numpy, Pandas, Scipy, Scikit-learn, BeautifulSoup, SQLAlchemy, and more.
  • Learned and built these data science skills by working on a variety of in-class projects and Kaggle competitions.

July 2018 - October 2018

Application Support Engineer & Business Analyst

Jefferies Group LLC

  • Provided 24/7 support and resolved issues related to Jefferies’ intranet, CRM database, and revenue reporting system.
  • Managed user inquiries, bugs, and enhancements through email correspondence and a ticketing application.
  • Created basic VB or Python scripts to automate repetitive tasks.
  • Collected user requirements to recommend and assist in the design of a myriad of new functionalities to the system.
  • Helped provide thorough QA testing while offering feedback to our product managers on user acceptance tests.
  • Trained, mentored, and led new application support members globally.
  • Developed SQL scripts to create new reports, enhance or fix existing processes, and perform day-to-day amendments.
  • Processed, cleansed, and validated large sets of user-provided data to help create ad-hoc backend solutions.

January 2013 - July 2018

Business Analyst

Morgan Stanley

  • Cleansed and manipulated large sets of compiled client data for reconciliation and updating purposes.
  • Designed and wrote macros in VBA to streamline data cleansing. Uploaded resultant set of data to Morgan Stanley’s internal client database.

October 2012 - January 2013

Quantitative Research Analyst

Brandywine Global Investment Management LLC

  • Collected, analyzed, and formatted Excel time series data to test-run the portfolio rebalancing program.
  • Imported/exported data from our SQL server, as well as ran queries for back-testing.
  • Analyzed and compiled Fama-French research (from CRSP) to create internal database.

May 2012 - October 2012

Financial Advisor

ING Financial Partners

  • Sold/pitched several products: life/health insurance, annuities, retirement plans, and general financial advisory.
  • Helped diversify for clients' retirement and created long-term objectives and plans to help clients reach their financial goals.

July 2011 - January 2012

Fixed Income Analyst - Global Data Intern

Bloomberg LP

  • Worked extensively with Bloomberg terminals on a variety of projects including: basic corporate research (reviewing company filings, new issuances, etc.), data reconciliation, redesigning older Bloomberg functions, and ad-hoc research projects for senior analysts.

June 2010 - August 2010

Education

Villanova University

Bachelor of Science in Business Administration
Dual Major in Finance & Management Information Systems (MIS)

August 2007 - May 2011

Upper St. Clair High School

August 2003 - May 2007

Skills

Programming Languages
  • Python
  • SQL
  • VBA

Workflow
  • Supporting Large User Bases
  • Cross Browser Testing & Debugging
  • Cross Functional Teams
  • Agile Development & Scrum

Interests

Apart from being an aspiring data scientist, in my spare time I love to play the guitar and ukelele. I also enjoy reading, running, rock climbing, playing video games, and watching sports.

I'd like to think I'm a fun-loving, personable guy. I'm very intellectually curious and love learning about a variety of subjects. I like to find new ways to challenge myself and am always looking to gain new perspective on life. To that end, I believe data, and the analysis we can draw from it, can and will drive significant change in the world for the foreseeable future. I'm really excited about the prospect of getting to switch gears in my career and learn as much as I can about data science!