Erastus M.

Key Skills

Software

Other

Top Subject Matter

Mathematics (tutoring/education)

Cryptography and algorithm verification (research analytics)

Financial analytics and ML enablement (fraud detection training)

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Data Collection

Entity (NER) Classification

Freelancer Overview

Mathematics Tutor (Graduate Assistant), University of Chicago. Brings 19+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and Other. Education includes Master of Science, University of Chicago (2018) and Bachelor of Science, University of California, Berkeley (2010). AI-training focus includes data types such as Text and labeling workflows including Computer Programming, Coding, and Data Collection.

Labeling Experience

Senior Data Scientist, FinTech Solutions

OtherTextEntity (NER) Classification

Coached junior analysts and led training sessions across departments on statistical techniques and Python-based data science workflows. While explicit annotation/labelling is not stated, the role included applied AI model development and organizational training that supports AI/analytics usage. • Coached junior analysts and provided leadership for training sessions • Presented results to executive decision makers with clear mathematical communication • Developed and integrated state-of-the-art models for investment management • Built algorithms for real-time risk evaluation to support compliance

2020 - Present

Quantitative Specialist, Debt Valuation & Pricing Modeling Group

Text

Provided training sessions for analysts to build competency in advanced data science techniques and supported the development and implementation of machine learning algorithms for fraud detection. The role focused on applied analytics rather than explicit annotation, but included AI/ML enablement through coaching and model implementation efforts. • Delivered training sessions for analysts on advanced data science techniques • Collaborated with IT to implement ML fraud detection algorithms • Conducted deep dives into financial datasets to uncover trends • Built mathematical/risk models to improve operational efficiency

2014 - 2018

Research Analyst, NIST

TextData Collection

Conducted automated data analysis workflow work in support of cryptographic research, including reducing computational time by 40%. Although the resume does not explicitly describe labeling, the experience reflects hands-on preparation of datasets and verification-oriented analysis in an algorithm development context. • Automated data analysis workflows to improve efficiency • Collaborated with interdisciplinary teams to verify algorithmic integrity • Contributed to cryptographic algorithm development for publication • Delivered seminars on discrete mathematics themes and their technology implications

2010 - 2014

Mathematics Tutor (Graduate Assistant), University of Chicago

Text

Served as a graduate mathematics tutor/assistant, supporting undergraduate learners with instruction and practice that improved course understanding to 95%. While not described as data-labeling work, the role involved structured guidance and coaching on analytical problem-solving using academic material. • Taught calculus and linear algebra with an emphasis on clear reasoning • Referenced current applied mathematics topics to support curriculum understanding • Provided targeted academic assistance to learners • Supported faculty curricula development efforts

2008 - 2010

Education

Work History