Curriculum vitae

jc@jcachat.com | 614-982-0521 | April 2022

Profile

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.

Highlights

  • 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. 

Education

2011-2013
UC Davis & UC San Diego

Neuroinformatics & Data Systems Post Doc

developed strategies and programs for the collection, description, organization, normalization, storage, preservation, integration, visualization and mining of data across the spectrum of neuroscience programs on campus || Technical Tools || R, RStudio, Python, SQL, HTML/CSS, Mendeley, Zotero, Jupyter Notebooks, FigShare, GitHub, RapidMiner, KNIME, Tableau, SPSS, Markdown,
2008-2012
Tulane University (New Orleans, LA)

PhD, Neuroscience

Neurobehavioral Psychopharmacology research program modeling drug use and abuse in adult zebrafish by quantifying swimming behavior. Improved data collection process from manual, duplicative efforts to completely automated data analysis based on 3D swim path reconstructions. > Pharmacological research in mice, zebrafish and C. elegans investigating interactions btw environmental stress & drug action. >Data collection & statistical analysis. RStudio, Rapidminer, Python, SPSS, MatLab, Creative Cloud, Noldus Technology, Drive AppScript, Templated Spreadsheets. >Managed and mentor daily activities for dozens of rotating lab techs. >Managed and maintain lab information technology infrastructure - local & cloud based.
2004-2008
Denison University (Granville, OH)

BS, Social Neuroscience

Professional Experience

2015 - Current
CCV Research

Scientific & Data Systems Director

Consulting, project-based work. Provide operational & tech-based, data-driven research and development services. Reduce COGs to maximize competitive advantages, expand products & customer profiles to improve recommendation and projection models. ||| Modernize and Automate business processes in the cloud to rapidly scale services, minimize infrastructural risks & sell to more customers. ||| Technical Tools: Google Cloud Platform (GCP) Professional Data Engineer, DataPrep, CloudStorage, BigQuery, Data Studio, Compute, Cloud Functions, Pub/Sub, and of course, the workspace standard tools – like Connected Sheets, for loading BigQuery datasets into sheets. I am competent with AppScript, Add-ons & other integration platforms/APIs.
2017 - 2021
Midway Lab, LLC | Hocking College

Scientific Director | Director of Laboratory Sciences

Led application development, floor plan design & operational strategy leading to the opening of two-state-licensed cannabis analytical labs in Ohio MMCP market - Hocking College & Midway Lab LLC. Created & championed the nation's first accredited Associate's Degree in Cannabis Lab Technician - which has been one of the most popular programs at Hocking since day 1.
2019 - 2011
Seinergy & Zativa

Data & Systems Director | Technical Director

Seinergy is a small team that has brought in over $22MM in energy rebate incentives for cannabis growers, saving over 140MM kWh/year of new grid hookups. I successfully transitioned the team, data, and business workflows over to the Google Cloud Platform and continue to optimize and expand these systems to meet ongoing business needs. The transition to GCP allowed Seinergy to save thousands of dollars, expand the business productivity, and boost revenues within 7 mths. As a Technical Director with Zativa, I coordinated with Ohio State University (OSU) and the OH Dept of Agriculture to plant & monitor the first legal hemp growing season at the Wooser Extension Campous.
2017 - 2018
Fleurish Farms, SunGrown Zero, Conscious Cannabis Ventures

Founder, CEO, CTO

Developed Novel Hybrid-Light Cultivation Facility thru targeted R&D integrating grow room intelligence (Grownetics), responsive LEDs, and Solatube Daylighting Devices. Reduced energy and water use by > 75%, matched production rates, and improved product quality as defined by potency and terpene profiles.

Key Skills

Research, Hypothesis Testing, Data Analysis / Data Science, Data Engineering, Data Visualization, Neuroscience/Psychopharmacology, Business Intelligence, Integration Migration & Automation, Statistics, Machine Learning/AI Model Dev

Data Tools/Languages

Google Cloud Platform (GCP; Professional Data Engineer)**

75%

Python (pandas, numpy, scipy), Jupyter Notebooks

80%

RapidMiner Studio / KNIME

90%

R / RStudio

90%

Amazon Web Services (AWS)

45%

HTML/CSS, Markdown & WordPress

95%

Gooogle Workspace & AppScript

85%

SQL (most flavors)

65%

Dataprep/Trifacta/dbt

75%

Papers, EndNote, Mendeley, Zotero, FigShare

100%

Tableau

80%

MatLab, SPSS & Mathematica

80%

Adobe Creative Suite

100%

Data Engineering

Independent Research, Hypothesis Testing, Statistical Analysis

100%

Data Management, ETL/ELT, Analytics, Integration & Migration

100%

Business Intelligence (BI)

100%

IoT data, Sensor Hardware Platforms (Raspberry Pi)

90%

Structured/Unstructured databases (SQL/noSQL)

95%

Time-Series data (GBs)

90%

Movement Pattern data (TBs), Video/Visual data (TBs)

90%

Behavioral & Genetic data (TBs)

95%

Transactional & Online user data (GBs)

90%

Machine Learning/AI Model Evaluation, Development, Implementation

85%

QA/QC Automation, Version Control (GitHub)

90%

Research Publication & Editing

100%

Integration Platforms/API Dev

90%

Reporting & Visualization (Static, Live, Dashboards)

100%