Data Analyst Tableau

Objective

An entry-level data analyst with * year of experience working on personal and freelance

projects while taking online courses to advance my skills. Currently looking for an entry- level role or internship, where I can apply my skills including data extraction, data cleansing, data analysis, statistical analysis, data visualization and machine learning. Technical Skills

Experience

FREELANCER, UPWORK: JULY 2020 - PRESENT

- Created a web scraping script with Python that saves 2 hours of manual work every day. With just one click this script gets the necessary information from 4 websites, cleans the data and populates a google spreadsheet.

VOLUNTEER, DATAPOINT ARMENIA: MAY 2020 - PRESENT

- Contributing to COVID-19 awareness in Armenia by creating and sharing insightful reports and visualizations.

- Working on a data science English-Armenian dictionary, which is aimed to promote data science development in Armenia.

- SQL

- Python

- R

- Tableau

- Microsoft Power BI

- Google Data Studio

- Flourish

- Microsoft Excel

- Google Sheets

- Git

- Linux Command Line

Natalya Bakhshetyan

469- 258-1032 Plano, TX, 75023 ******************@*****.*** Linkedin: https://www.linkedin.com/in/natalya-bakhshetyan/ Github: https://github.com/natalyabakhshetyan

MEDICAL SCRIBE, ROBIN HEALTHCARE; AUSTIN, TX: SEPTEMBER 2019 - JUNE 2020

- Produced over 1000 clinical notes for physicians in different specialities including orthopedics, pain management, ENT and urology.

- Documented clinically relevant information based on patient-doctor encounters, physician dictations and EMR data.

- Assigned ICD and CPT codes to diagnoses and procedures.

- Used multiple EHR softwares including SRS Health, Epic, NextGen and AdvancedMD. Education

UNIVERSITY OF TEXAS AT DALLAS, RICHARDSON, TX: SEPTEMBER 2016 - MAY 2019 Bachelor of Science in Molecular Biology with Mathematics Minor, GPA 3.7 Certifications

CODECADEMY: JUNE 2020 - JULY 2020

Data Science Career Path

TABLEAU SOFTWARE: JUNE 2020

Tableau Analyst, Tableau Data Scientist

UDACITY: FEBRUARY 2020 - MAY 2020

Data Analyst Nanodegree

Data Projects

EXPLORING US DOMESTIC FLIGHT DATA

Identified factors contributing to flight delays and cancellations through a thorough data analysis. Cleaned and visualized flight data with python libraries including pandas, matplotlib and seaborn.

HOSPITAL NO SHOW DATA ANALYSIS

Investigated the data set of 100k medical appointments across hospitals in Brazil. Detected the factors that may or may not help to predict whether a patient will show up to their appointment.

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