Ian Tincknell

Resume

Software engineer focused on backend systems, data infrastructure, and distributed services.

Download the PDF resume

Education

University of Massachusetts Amherst

Amherst, MA

Manning College of Information and Computer Sciences

Master of Science in Computer Science (MSCS) 2026

  • Certificate: Statistical & Computational Data Science
  • GPA: 3.95/4.00
  • Full Graduate Assistantship

Isenberg School of Management

Master of Business Administration (MBA) 2024

  • Business Innovation Fellowship, Institute for Applied Life Sciences
  • GPA: 4.00/4.00
  • Full Graduate Assistantship

College of Social and Behavioral Sciences

Bachelor of Arts in Political Science 2014

Professional Experience

National Grid, New England Field Safety and Health

Intern, Data Analyst May-Aug 2025

  • Designed and shipped an end-to-end Power BI reporting system with automated daily refresh, replacing manual Excel workflows and enabling consistent operational monitoring for leadership.
  • Built a data ingestion and transformation pipeline using OData sources and Power Query, modeling longitudinal employee health events to support cohort-based trend analysis and drill-down views.
  • Developed validated measures and privacy-aware reporting logic, then delivered a live executive demo and handoff documentation for long-term maintenance by full-time analysts.

University of Massachusetts Amherst, Institute for Applied Life Sciences

Business Innovation Fellow 2022-2024

  • Built repeatable analytics workflows for startup teams, translating ambiguous market questions into structured datasets, comparative scoring criteria, and decision-ready outputs.
  • Led iterative research sprints for a machine-learning startup in water resource planning, producing a prioritized target list and CRM-ready segmentation.
  • Led a team initiative to define and operationalize generative AI usage guidelines, presenting training to approximately 40 fellows and delivering an adopted handbook for future cohorts.

Commonwealth of Massachusetts, MassHealth

Long-Term Care Eligibility Specialist 2015-2022

  • Managed a rolling caseload of 30 to 40 long-term care applications under strict deadlines, reviewing complex financial records to determine Medicaid eligibility and compliance.
  • Coordinated with families, attorneys, hospitals, and nursing facilities to resolve documentation gaps quickly, supporting continuity of care in high-stakes, time-sensitive situations.
  • Built Excel-based templates and calculators adopted by the team to improve case processing speed and accuracy for recurring compliance and valuation workflows.

Technical Skills

Languages:
Python, SQL, C++, C, R
ML & AI Systems:
PyTorch, TensorFlow, scikit-learn, vector embeddings, semantic search, retrieval-augmented generation (RAG), CNNs, RNNs, Transformers
Data Engineering:
Spark/PySpark, ETL pipelines, PostgreSQL, Redis, Qdrant, SQLAlchemy
Backend & APIs:
FastAPI, REST APIs, gRPC, Protocol Buffers, Nginx, Flask
Cloud & Infrastructure:
Docker, Docker Compose, Azure CLI, AWS CLI, Linux, Deployment Automation
BI & Analytics:
Power BI, Power Query, DAX, Tableau, Excel, data modeling and analytics
Professional:
Team leadership, stakeholder communication, cross-functional collaboration, mentoring

Campus Involvement and Leadership

UMass Amherst Graduate Student Government (GSG)

Vice President 2025-2026

  • Coordinated logistics and operations for graduate community events and initiatives.
  • Served on Student Advisory Boards to consult with university administration on matters impacting graduate students.

Treasurer 2024-2025

  • Oversaw a $1M+ graduate student trust fund and annual budget process, ensuring accurate tracking and policy-compliant disbursement.
  • Designed and operated an airport transportation program supporting 300+ arriving international students with real-time delay monitoring and contingency planning.

Awards

Lifetime Achievement Award,  UMass GSG, 2026

President's Outstanding Impact Award,  UMass GSG, 2025

Student Leader of the Month,  UMass Amherst, November 2024

Selected Coursework
  • Computer Science: Distributed & Operating Systems; Systems for Data Science; Database Design & Implementation (audit); Introduction to Algorithms; Algorithms for Data Science; Computer Systems Principles; Formal Language Theory; Theory & Practice of Cryptography; Randomized Algorithms and Applications to Data Science (audit)
  • Machine Learning and Statistics: Machine Learning; Neural Networks: Modern Introduction; Mathematical Statistics I-II; Statistical Methods for Data Science; Accelerated Bayesian Statistics; Applied Semiparametric Regression
  • Mathematics and Scientific Computing: Multivariate Calculus; Intro Linear Algebra; Linear Algebra for Applied Mathematics; Scientific Computing
  • Business and Analytics: Business Intelligence & Analytics; Data Management for Business Leaders; Strategic Information Management; Operations Management; Corporate Finance; Statistics for Business