REETI BHAGAT

Roseville CA 714-***-**** ad4rhn@r.postjobfree.com

Summary

I am a Data Analyst with a diverse skill set, including an MBA degree, and two years of experience in the analytical field. My educational background in business administration has equipped me with a strong foundation in strategic thinking and problem-solving. Over the past two years, I have honed my analytical abilities, effectively leveraging data to derive actionable insights and drive informed decision-making. My unique blend of business acumen and data expertise makes me a valuable asset in translating complex data into business strategies and growth opportunities. I am enthusiastic about applying my skills to contribute meaningfully to data-driven initiatives and innovation within any organization.

Skills

1. Statistical Analysis

2. Data Manipulation

3. Machine Learning

4. Data Visualization

5. Programming Languages (Python, R)

6. Big Data Technologies

7. Database Management (SQL, NoSQL)

8. Data Mining

9. Feature Engineering

10. Model Evaluation

11. Version Control (Git)

12. Data Storytelling

13. Domain Knowledge

14. Experimental Design

15. Data Ethics

16. Cloud Services (AWS, Azure, GCP)

17. Optimization Techniques

18. Collaboration

19. Time Management

20. Continuous Learning

Experience

Healthcare Data Analyst 02/2019 to 02/2022

Tulips

Collaborated with Data Engineers to implement ETL process and optimized SQL queries to perform data extraction to fit the analytical requirements

Participated in all phases of data mining, data collection, data cleaning, developing models, validation, and visualization and performed GAP analysis Processed data using Python Pandas to examine transaction data, identify outliers and inconsistencies, and conducted exploratory data analysis using NumPy

Created SQL Queries to retrieve data from multiple tables using Join conditions that enabled the utilization of efficiently optimized data extracts for Tableau workbooks

Created data visualization dashboard using Tableau, D3(javascript) seaborn, and matplotlib

Worked on motion chart, Bubble chart, drill down analysis using Tableau desktop

Utilized descriptive and predictive statistical techniques to measure the impact of various actions/studies, internal and external, developed sampling and hypothesis testing to help the hospitals determine outcomes, and forecast and predict future behaviors that explain key findings using machine learning

Performed data visualization with R Studio and Python and generate dashboards to present the findings.

Data Science Trainee 05/2020 to 12/2020

Springboard Irvine, CA

Performed exploratory data analysis to identify patterns and trends in large datasets.

Developed predictive models using machine learning techniques such as regression, classification, clustering, and decision trees.

Designed and implemented dashboards for visualizing data insights.

Analyzed complex data sets using statistical methods including ANOVA, correlation analysis, and hypothesis testing.

Developed reports using SQL queries to extract meaningful insights from structured data sources.

trainee in an online program consisting of 600 hours of hands-on curriculum in partnership with Microsoft, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.

CapstoneProjects: https://github.com/reetibhagat/Capstone-project2 https://github.com/reetibhagat/capstone-1-covid-19

International Marketing Executive/Analyst 08/2017 to 02/2020

Health Care Global Enterprises Ltd

Analyzes external and internal customer data using database queries (SQL, Access), spreadsheet (Excel) models, web analytics tools (google analytics.), and statistical analysis tools

Reported on marketing KPIs like leads, conversion rates, website traffic, and social media engagement

Monitored budget distribution and performance of paid ad campaigns

Conducted oncology health camps, conferences, CMEs, and round table meetings

Analyzes A/B and Multi-variate tests communicate results and provide recommendations

Created PowerPoint presentations to provide market and consumer insights to other marketing and sales departments

Prepared data visualization and designed dashboards with Tableau for complex reports including summaries and graphs to interpret the findings for the team

Office Manager 11/2015 to 01/2017

Oxford University Clinical Research Unit Kathmandu

Oversaw daily administrative operations, ensuring compliance with healthcare regulations and standards

Collaborated with medical staff to develop and implement effective patient care policies and procedures

Managed patient records, ensuring accuracy, privacy, and security

Conducted regular staff meetings to discuss best practices, address concerns, and ensure a cohesive team environment

Evaluated staff performance, providing feedback and training as needed

Analyze data and create financial models for decision support

Conduct competitor and market analyses to support strategic business development, including research projects and reports

Oversaw the selection of equipment used in the facility and ensures that it works properly

Involved in the selection and ordering of supplies and handling the financial aspects of the business, such as billing, banking, and accounting

Ensured that the staff utilizes the correct coding when designating the diagnosis or results of procedures

Analyze past results, perform variance analysis, identify trends, and make recommendations for improvements

Education and Training

Master of Science in Analytics Expected in 12/2023

Georgia Institute of Technology Atlanta, GA

MBA: Health/hospital Administration

JSS Academy of Higher Education & Research India

Projects

Ether Visualization(Georgia Tech) Jan. 2022 - May 2022

This project analyzed three aspects (transaction, proximity, ecology) of Ether from five different directions: dynamic transactions analysis through graphs,clustering of top Ethereum addresses, dynamic proximity analysis, modal analysis of proximity, and ecology visualization. Link to our website:https://cse-6242-project.herokuapp.com/

Covid-19 Analysis, Visualization and Forecasting using Time Series Analysis June 2020 - Sept. 2020

The main goal of this project is to analyze the spread trend of this virus all over the world and its predictions. I have used time series models to forecast the confirmed and deaths cases. It is implemented in Python on Jupyter notebook. Project outcomes will include a googleCollab notebook containing associated code,reports and presentation in GitHub.

Detecting Pneumonia from X-ray Images(springboard) Aug. 2020 - Dec. 2020

The main objective of project is to help doctors better predict pneumonia in minimal time with high efficiency. The aggregation of this will contribute to the health care system for better patient satisfaction and care.

I have developed Convolutional Neural Network from scratch to classify the medical images. The CNNs will be implemented in Python on Google Collab using the Keras interface to TensorFlow. I will be using GCP/AI platform to build and deploy models. I will also use AWSsage maker to train and deploy the models.

Project outcomes will include a google Collab notebook containing associated code, reports and presentation in GitHub.

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