Summary
Overview
Work History
Education
Skills
Accomplishments
Languages
Timeline
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Alice Tsentsiper

Alice Tsentsiper

Frisco,TX

Summary

Senior Biology researcher with Master’s in data Analytics experienced with collection, cleaning, and analysis of complex data sets. Proficiency in Microsoft, Excel, and Python statistical packages. Vast experience in producing and presenting actionable insights to stoke holders.

Overview

7
7
years of professional experience

Work History

Research Consultant

Reata Pharmaceutical
Irving, TX
01.2022 - 01.2023
  • Identified and characterized protein complexes instrumental in Nfkb signaling pathway.

Associate Scientist

Foster City, CA
01.2019 - 01.2021
  • Assisted in developing monoclonal antibody therapeutic with indications in Alzheimer and Parkinson diseases in Phase II clinical trials
  • Collected, analyzed, and characterized large files with genetic sequences using python and NCBI sequencing tools.

Research Associate

Redwood, CA
01.2016 - 01.2019
  • Explored methods for optimizing mRNA delivery methods to target cells in various mouse models using nebulization or Intranasal inhalation.

Education

Master of Science - Data Analytics

Western Governors University
01.2023

Skills

  • Data exploration, transformation and filtering using Microsoft Excel
  • Writing basic scripts using Python
  • Data exploration, analysis, and visualization with Python statistical packages; SciPy, Stats models, NumPy, Pandas and Seaborn
  • Querying relational databases with SQL
  • Creating reports, visual dashboards, graphs, tables, and presentations using Tableau, Python, Microsoft Excel, Word, Power Point

Accomplishments

  • Capstone project: Identification of chronic health conditions that increase Covid related hospitalizations using multivariate logistic regression with Python statistical packages
  • Projects:
  • Forecasting Model; Prediction of next quarter revenue for hospital based on a historical data
  • Neural Network sentiment prediction Model: Can we predict reviewers sentiments based on historical data
  • Dimensionality redaction – PCA; Identifying the most significant variables in the data
  • Multi variate and linear regression Models: Predicting what health factors contribute for readmission of patients into a hospital.

Languages

English
Full Professional

Timeline

Research Consultant

Reata Pharmaceutical
01.2022 - 01.2023

Associate Scientist

01.2019 - 01.2021

Research Associate

01.2016 - 01.2019

Master of Science - Data Analytics

Western Governors University
Alice Tsentsiper