Curriculum vitae / Resume
email@example.com | 614-982-0521 | Sept 2022
A data-driven, results-oriented scientist. able to quickly translate between technical teams, management, and the general public to achieve strategic goals. able to merge business, science & data engineering skillsets to unlock data patterns, extract information and provide actionable insights.
I enjoy and thrive with independent work and value the diversity of a team to solve the most challenging issues. Demonstrated success as a team lead, communicating the vision, providing the necessary tools, listening & implementing.
Comfortable solving mysteries without any clues. Excited by nebulous research questions without clear answers and unknown, incomplete datasets. Experienced with most commonly used data tools & techniques, almost certified as Google Cloud Platform Professional Data Engineer. Motivated by curiosity, honed deductive reasoning skills, and demonstrated ability to recognize patterns or trends in data that are worth additional investigation.
- 20+ years of research & data-driven engineering experience. paradigms, research questions, experimental designs, hypothesis testing, statistical evaluation, visualization and communication.
- 15+ years working with various data types and standard technical tools. My current daily drivers are GCP, Python, RStudio & RapidMiner. Building acquisition and analysis pipelines for streaming IoT data, Structured/Unstructured databases, Time-Series data (GBs), Movement Pattern data (TBs), Video/Visual data (TBs), Behavioral & Genetic data (TBs), and data scraped, crawled, pushed, pulled, batched.
- 10+ years of entrepreneurial leadership, raised $3M, lead small PhD teams & large business teams, delivered business process optimization and automation. Sought out subject matter expert and consultant, delivering results for clients across the board.
- 10+ years in the Cannabis space – especially pushing data-driven strategies in each vertical.