Elias M.

Key Skills

Software

No software listed

Top Subject Matter

Engineering mathematics workflows

numerical methods

graph theory

Top Data Types

Document

Top Task Types

Question Answering

Data Collection

Freelancer Overview

Data Analyst & Python Developer — computational problem design and verified Python-based reasoning. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Python, NumPy, and SciPy. Education includes Bachelor of Science, Strathmore University (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming, Coding, and Question Answering.

Labeling Experience

Data Analyst & Python Developer — computational problem design and verified Python-based reasoning

Designed computational math problems that mirror real engineering workflows, requiring Python-based solution generation rather than manual calculation. Implemented numerical methods (Newton-Raphson, Runge-Kutta, least-squares) and validated analytical models against empirical data using scientific Python libraries. Used SymPy to produce symbolic/closed-form results and verified them against numerical outputs, documenting problem statements with full reasoning chains. • Simulated structural load optimization, fluid dynamics modeling, and differential equation systems. • Developed graph-theory and combinatorics-based network/resource allocation problem-solving pipelines. • Performed solution verification by cross-checking symbolic and numerical results. • Produced clear written documentation of reasoning and outputs for each computational task.

2023 - Present

Mathematics Tutor & Research Assistant — AI-training-style problem authoring with verified reasoning

Question Answering

Authored and distributed weekly undergraduate problem sets grounded in real mathematical research challenges, with solutions verified in Python prior to release. Created tasks that demanded multi-step reasoning across number theory and combinatorics, ensuring correctness through SciPy/SymPy checks. Documented problem statements clearly with step-by-step solutions, explicitly following a workflow similar to Mindrift AI training task formatting. • Built and validated linear algebra, discrete mathematics, and numerical analysis problem sets. • Implemented Python-based solution verification using SciPy and SymPy. • Supported faculty research in computational complexity by coding algorithmic analyses. • Delivered structured, reasoning-chain documentation for each exercise before distribution.

2021 - 2023

Freelance Python Developer — data preparation and analysis automation

Data Collection

Developed Python scripts to automate data cleaning and basic statistical analysis for small business clients. Produced cleaned datasets and computed summary statistics that support downstream analysis workflows. Documented applied mathematical problem-solving and verification habits while working across varied client contexts. • Automated data cleaning with Pandas and NumPy. • Performed basic statistical analysis on client-provided data. • Applied reliable verification practices to ensure outputs matched expectations. • Supported varied client data tasks with reusable Python code.

2021 - 2021

Education

Work History