Candidates About

Alex Everhart

Profile

            Data scientist with experience in statistics, computer programming, big data, and machine learning developed from a strong background in clinical research and analytics.

Education

            2010-2014. Bachelor of Arts, Psychology. Ohio State University. 3.6 GPA

Technical Knowledge

            -Software and Programming Languages: SQL, VBA/VBS, Python (scikit-learn,            numpy, scipy, pandas), Hadoop (MapReduce, Hive), MS Excel, R, E-Prime, SAS,            SPSS, DirectRT, Kubios HRV Biosignal Analysis, and Teleform

            -Machine Learning: Classification, Regression, Clustering, Feature Engineering, Bayesian methods, Anomaly Detection, Neural Networks, Natural Language    Processing

-Statistical Analysis: time series, regression models, hypothesis testing and            confidence intervals, principal component analysis and dimensionality reduction

-Systems: EMR Records, IHIS, Hogan, Actimize, AWS, Splunk

Research/Work Experience

1. April 2017 – April 2018. Data Analyst at Gensuite

Data analytics at a EHS software developer. Analyze customer data using various statistical and machine learning techniques to translate into business insights that the customer can easily understand (create visualizations based on data via ggplot, Izenda, or Splunk).

Sample work:

Created optimized JSON parser to extract and analyze data in real-time with large data constraints (~1TB/day JSON log files from Cloudflare servers)

Machine learning and statistical paradigms to understand risk-based insights in environmental health and incident data for fortune 500 companies (regressional analysis + neural networks to handle nonlinearities in trends).

2. June 2016 – April 2017. Software Engineer/web designer.

Contractual work includes writing SQL development queries, data analysis tasks, web design and machine learning paradigms for use in customer systems.

3. January 2016 – May 2016. Contract Data Analyst employed by Robert Half for client (Bank).

Contracted as a data analyst for fortune 500 bank in the AML department (anti-money laundering and terrorist financing as well as fraud). Wrote programs to retrieve and manipulate data from bank systems specific to AML purposes; worked with upper management to establish risk-based analysis for use in my programs; wrote programs to analyze data and create visualizations/triggers for large scale projects for use in the department and identify suspicious behavior; post-hoc analysis of data to ensure data integrity/validity and utilized various machine learning techniques  (mainly clustering and anomaly detection) to identify emerging risks.

4. 2014- June, 2015. Clinical Research Data Coordinator at the OSU Comprehensive Cancer Center – CNS team.

      I was responsible for data management for patients enrolled onto clinical trials and abstracting data from The Ohio State University Wexner Medical Center Electronic Medical Record systems (EMR) and worked to resolve monitor queries to study practices and data.

5. 2013-2016. Researcher at the Emotions and Quantitative Psychophysiology Lab. Dr. Julian Thayer.

Conducted studies examining psychophysiological aspects of self -regulation, particularly parasympathetic influences on physical and mental health including hypertension, anxiety, and depression.

6.  Summer, 2013. Researcher. Summer Research Opportunities Program (SROP). Biobehavioral Health Institute. Mentor: Dr. Sheila G. West

Examined the effects of pistachios on cardiovascular responses to stress in type 2 diabetes. Participated in lab meetings to discuss manuscript changes and general experiment outcome, ran ELISAs for salivary cortisol levels, analyzed the data, and presented the findings at a SROP/McNair conference as part of my program.

7. November 2012-August 2014. Research Assistant at the Stress and Health Lab for the Institute for Behavioral Medicine Research.

Examined the effect high-fat meals have on the body's responses to marital stress and its relationship to obesity and/or heart disease,  the effect high-fat meals have on inflammation and fatigue in breast cancer survivors, the ability of mind-body interventions such as yoga to modulate endocrine and immune responses in breast cancer survivors, the role that inflammation plays in combination with depression among cancer survivors who experience debilitating fatigue, and the role that inflammation and fatigue have on total health in newly diagnosed breast and colon cancer patients.

Selected Publications

Williams, D.P., Speller, L.F., Gillie, B., Feeling, N., Everhart, A.J., Koenig., J., Thayer, J.F., (September, 2014). Resting Heart Rate Variability Predicts Discrimination between True and False Memories. Abstract Submitted to The Society for Psychophysiological Research 54th Annual Meeting, Atlanta, Georgia.

Alexander J. Everhart, DeWayne P. Williams, Anthony Bernardi, Julian Koenig, Julian F. Thayer (March, 2015). Rumination as a Mediator Between Resting Heart Rate Variability and Trait Anxiety: A Focus on The Divergent Effect of Reflective Rumination. Citation Poster at the 73^rd American Psychosomatic Society Annual Meeting, Savannah, Georgia.