Materials Scientist × Data Engineer

Abdulla Arham

Building the future of energy storage through materials innovation and intelligent systems

Nanotechnology engineer specializing in electrochemical materials synthesis, characterization, and scale-up with 3+ years of experience. Combining deep materials science expertise with modern data engineering to drive innovation in next-generation battery systems and sustainable energy solutions.

Experience

Graduate Research Student

University of Toronto
May 2023 – Feb 2024
  • Led CO₂ electrolyzer research, designing 15+ cell configurations and improving performance by 12-18%
  • Performed advanced electrochemical characterization (EIS, LSV, CV) across 50+ experimental runs
  • Conducted in operando imaging at Canadian Light Source synchrotron, enabling breakthrough catalyst visualization
  • Accelerated project timelines by 15-20% through cross-functional collaboration and technical expertise

Research Coordinator & Engineer

Presidium Equipments
Apr 2022 – Aug 2022
  • Engineered polyurethane alternatives for truck components, reducing material costs by $18-25K per run
  • Scaled formulations from 100mL to 50L pilot batches, completing project 15% under budget
  • Prevented production delays through factorial DOE study, saving $6-12K during supplier shortage
  • Trained 3 team members on analytical instrumentation, reducing turnaround time by 25%

Product Owner & Scientist

University of Waterloo - Design Project
Sep 2020 – Apr 2022
  • Engineered fully compostable chip packaging maintaining 90% of conventional properties
  • Led team of 4 researchers using agile methodologies, delivering 15% under $12K budget
  • Conducted 40+ prototyping cycles with thermal analysis and mechanical testing

Research Assistant

Thomson Lab, University of Waterloo
Sep 2019 – Dec 2019
  • Optimized SPION synthesis for environmental remediation, achieving 96% batch consistency
  • Demonstrated 85-92% contaminant removal through electrochemical degradation experiments
  • Performed comprehensive characterization using ICP-OES, ICP-MS, and TEM

Research Assistant

FUNSOM
Jan 2019 – Apr 2019
  • Synthesized Mo₂C nanomaterial electrocatalysts, improving catalytic activity by 18-22%
  • Performed 50+ hydrothermal synthesis experiments optimizing reaction conditions
  • Conducted extensive SEM characterization and electrochemical analysis (LSV, BET)

Projects

ShelfCraft

Flask · SQLite · Jinja2 · Render
📚

Full-stack reading tracker with CRUD operations, analytics dashboards, and 14-day activity summaries for 200+ books.

  • Designed normalized relational database with foreign key constraints
  • Built REST-style API routes with dynamic server-side rendering
  • Deployed production pipeline with Git version control

JobHuntr

Python · BeautifulSoup · Requests · CSV
🎯

Automated career page crawler aggregating jobs from 350+ companies across chemical, manufacturing, and tech sectors.

  • Developed adaptive scraping with fallback mechanisms for diverse HTML structures
  • Implemented robust date parsing with regex for 10+ formats
  • Built error handling with retry logic and rate limiting

Sports Analytics Pipeline

Python · SQL · Power BI

Web scraping pipeline collecting global soccer data across 120+ countries, supporting PhD research on funding disparities.

  • Architected ETL processes organizing 15,000+ data points
  • Created 5 interactive Power BI dashboards
  • Achieved 30% efficiency increase through agile methodologies

Skills

Materials Characterization

XRD SEM/TEM FTIR BET Analysis TGA/DSC ICP-OES/MS Raman

Electrochemistry

EIS LSV/CV Polarization Fuel Cells Electrolyzers Chronoamperometry

Web Development

Python (Flask) SQL HTML/CSS JavaScript Git/GitHub Render/Cloud

Data & Analysis

Web Scraping ETL Pipelines Power BI BeautifulSoup Pandas SQL Databases

Materials Synthesis

Nanoparticles Hydrothermal Polymer Formulation Cathode Materials Pilot-Scale DOE

Project Management

CAPM (PMI) Agile Factorial DOE Technical Writing Team Leadership

Let's Connect

Interested in collaboration, research opportunities, or just want to chat about materials science and data engineering?