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Jonathan Sanchez-Garcia

Jonathan Sanchez-Garcia

Senior Data Scientist

MDClone

Technologies

My Portfolio Highlights

My New Track

R Programming

My New Course

Introduction to Python

My New Track

R Programming

Statistical poet, weaving elegant stories with the threads of data.

My Work

Take a look at my latest work.

DataLab

DataCamp Workshop (shared): Using Feature Stores for Managing Feature Engineering in Python (copy)

course

Introduction to R

course

Introduction to Python

DataLab

DataCamp Workshop (shared): Using Feature Stores for Managing Feature Engineering in Python (copy)

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to R
Intermediate Python
Data Manipulation with pandas

My Work Experience

Where I've interned and worked during my career.

MDClone | Mar 2022 - Present

Data Scientist

N/A

Optum | May 2021 - Mar 2022

Data Scientist ll

• Applied Unsupervised models (Kmeans, GMM - Python Scikit-learn) and Supervised predictive modeling (Random Forest) for click stream (Adobe Target) data from UHC providers portal to identify the users Segments based on their online behavior. These results are used as the foundation for different mitigation strategies like Improving user experience & offering to individuals, customizing “preferred channel” alternatives based on actual needs/behavior. • Worked with the Link security team to identify potential Bots using anomaly detection methods (Isolation Forest – Python Scikit-learn). • Responsible for the implementation and development of Data Engineering pipelines for automation Extract Transform and Load for structure (SQL, CSV), unstructured data sets (JSON, Mongo, MapR db, Data lakes ) and bigdata platforms (Hive, Hadoop, SQOOP). • Creation of Customized dashboard and reports for Providers leadership and marketing campaigns. (Tableau, Power Bi) as well communicate analysis results to stake holders and business partners. • Programmed in Python (NumPy, Pandas, Scikit-learn, Pyspark, Scipy, seaborn), R (ggplot2, dplyr) , SQL (MS SQL, Oracle) and Hive.
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NUC University | May 2021 - Mar 2022

Statistics Professor

N/A

JSG Stat | Apr 2021 - Present

Data Science and Statistical Consultant

N/A

Optum | Jul 2019 - May 2021

Data Scientist

N/A

Medical College of Wisconsin | Apr 2018 - Jul 2019

Biostatistician I

• Worked as primary Statistician for the Acute Leukemia committee responsible for more than 10 observational studies. • Developed study protocols and SOPs, assessed study feasibility, determined sample size and population. • Performed univariate and multivariate statistical analysis. • Participated in phase I clinical trials studies using observational data from the registry. • Collaborated in the creation of datasets, data quality audits, and resolution of database program. • Programmed in SAS, Python, R, and Oracle SQL server , Macro programming on SAS, ggplot2, pandas, numpy, dplyr, R Shiny.

University of Georgia (UGA) Graduate School | Jul 2017 - Apr 2018

Senior Data Manager

Epidemiology, and Global Health. • Developed data pipeline to collect data from field studies on Tuberculosis in Uganda. • Text mining and missing value imputation for survey data using R. • Designed a Dashboard using Shiny. • Assisted March of Dimes on data reports and data Visualization. (Atlanta, Georgia).

G2S Corporation | Jan 2017 - Jun 2017

Data Manager CDC/PRHD

• Federal Contractor for the CDC Data Manager Zika response team • Worked in Data Quality audits • Programed in R for data wrangling • Created an MS Access frontend for data entry

Iowa State University | May 2012 - Aug 2012

Summer Intern

REU Summer Research Program on Plant Genomics. Quantify SNP's and plant breeding

My Education

Take a look at my formal education

Master of Public Health (MPH), BiostatisticsUniversidad de Puerto Rico | 2016
B.S, MicrobiologyUniversidad de Puerto Rico | 2015

About Me

Jonathan Sanchez-Garcia

I am a Data Scientist and Biostatistician specializing in Clinical Research, Healthcare, Big Data, Machine Learning, Statistical Analysis, and Data Engineering. I possess a strong understanding of these fields and extensive practical experience. My c

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