Tom M.
Senior Data Scientist
Open to offersNew to PlatformAbout
Tom M. is an experienced Data Scientist specializing in environmental and public health analytics with over five years of expertise in R Programming, geospatial analysis, and statistical programming. Currently a PhD candidate in Public Health, focusing on Epidemiology and Biostatistics, he is well-versed in creating computational research workflows and contributing to peer-reviewed publications. His work supports NIH-aligned environmental and population health research, utilizing large-scale geospatial datasets to advance health equity. Tom has developed data science training projects with Handshake AI, enhancing model performance through structured evaluation frameworks. At Pride Mobility Corp, he optimized machine learning models and maintained efficient data pipelines, integrating R and algorithmic programming. As an AI Data Science Training Fellow, he also peer-reviewed model outputs, ensuring scientific integrity. His academic journey includes research on diabetes-depression comorbidity and the impact of environmental factors on health outcomes. Open to remote opportunities, Tom aims to leverage his strong technical capabilities to foster impactful data-driven insights.
Experience
AI Data Science Training Fellow
Handshake AI · 2024 — PresentExecuted over 15 data science training projects in areas such as computation, image recognition, and multimodal analysis, utilizing R and Python workflows. Crafted prompts and evaluation frameworks to enhance data interpretation accuracy on communication and NLP-focused projects. Reviewed outputs of 12 AI models, applying analytical standards to validate predictions against real-world benchmarks. Worked with AI research teams to identify error patterns and improve model performance, paralleling R package quality assurance processes. Presented findings and performance metrics to stakeholders through structured technical reports and visual data outputs.Artificial Intelligence Trainer & Statistical Analyst
Pride Mobility Corp · 2022 — 2024Trained supervised machine learning models on various datasets using R and algorithmic programming to enhance accuracy and computational performance. Evaluated model predictions against actual outcomes through rigorous statistical programming techniques. Created and maintained data pipelines for processing large structured datasets, employing shell scripting to automate workflows and increase efficiency. Communicated analytical results and visualizations to research and leadership teams, simplifying complex statistical outputs into actionable insights. Collaborated with interdisciplinary research teams to enhance computational methods and improve data sourcing strategies.Case Resource Manager – Enhanced Case Management
WA Dept. of Social & Health Services (DSHS) · 2022 — 2023Collected, cleaned, and analyzed health data concerning individuals with developmental disabilities to assess support needs and determine program eligibility, using R and SPSS. Conducted literature reviews on chronic disease comorbidities in vulnerable populations to inform program development. Designed health interventions based on data analysis, contributing to better outcomes for high-need populations. Generated detailed reports and technical summaries for program leadership, utilizing strong data interpretation and technical writing skills.Volunteer Epidemiologist – Health Equity & Environment
Health Equity, Environment & Population Program · 2015 — 2018Executed research projects that investigated the effects of socioeconomic and environmental exposures on pediatric health outcomes, employing R and SAS. Applied geospatial analysis techniques to visualize environmental data, identifying high-risk population clusters for targeted public health initiatives. Conducted statistical modeling, covariate calculations, and visualization for extensive epidemiological datasets, generating outputs suitable for peer review. Collaborated with multidisciplinary teams to develop evidence-based interventions, contributing to three published conference reports and community health evaluations. Communicated research findings through publications, presentations, and technical reports aimed at scientific and community health audiences.Research Associate – Environmental Health
MacEwan University · 2012 — 2014Assisted in the design and execution of studies focused on environmental determinants of health, managing data collection, cleaning, and analysis with R and statistical programming tools. Conducted systematic literature reviews on zoonotic diseases and environmental health, synthesizing findings for research reports and publications. Developed research protocols to ensure compliance with ethical and scientific standards, contributing to the preparation and editing of manuscripts. Shared research discoveries at international conferences, fostering scientific dialogue on climate, environment, and population health.Evaluation Specialist – Public Health Programs
University of Toronto · 2010 — 2012Assessed the impact of community-based public health programs on health outcomes for diverse populations through quantitative data collection and statistical analysis utilizing R and SAS. Created evaluation frameworks and performance indicators, along with data visualization tools to report program outcomes to stakeholders. Worked with community partners to implement evidence-based strategies, translating data insights into policy-relevant recommendations. Developed comprehensive technical reports and interactive summaries to support scientific reporting and program decisions.
Skills & Expertise
Education
- Doctor of Philosophy in Public Health (Epidemiology & Biostatistics)Walden University · 2017 — Present
- Doctor of Philosophy in Environmental EconomicsMoi University · 2000 — 2007