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Ramya Sai Bhagavatula

Ramya Sai Bhagavatula

Student

Vanderbilt University

Technologies

My Portfolio Highlights

My New Track

Data Scientist

My New Course

Introduction to Python

My New Track

Data Scientist

Statistical wizard, casting spells of significance on data experiments.

My Work

Take a look at my latest work.

DataLab

Introduction to Python

course

Introduction to Python

DataLab

Intermediate Python

DataLab

Introduction to Python

DataCamp Course Completion

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

Courses

Introduction to Python
Introduction to SQL
Introduction to R
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Baylor Genetics | Nov 2021 - Present

AI Engineer

Supervisor: Victor Perez

NASA Langley Research Center | Jun 2021 - Sep 2021

Deep Learning Research Intern

Mentor: Kristopher Bedka Co Mentors: Charles Liles, John Cooney Worked with the Data Science Team to detect a rare climatic phenomenon "Above Anvil Cirrus Plumes and Overshooting Tops" which helps identify severe thunderstorm signatures. I have built a UNET- LSTM deep learning model architecture which improved this detection in satellite imagery.
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Houston Arts Alliance | Jan 2021 - Jun 2021

Data Analyst Intern

Supervisor: Brittany Edwards As the Data Analyst Intern at HAA, I was responsible for observing, analyzing, and reporting in-depth patterns of meta-data. I worked closely with Houston Arts Alliance Grants Coordinator, Director, and CEO. Some of my key accomplishments include: -> Evaluating and analyzing the current program locations scoring model and identified deficiencies. -> Identified >58% of zip codes within the City of Houston Limits which had less access to arts and cultural events using Tableau -> Applied Correlation Analysis on key variables to provide insight on necessary enhancements for future grant cycles using RStudio and Tableau. -> Synthesized 3 years of applicant data from nonprofit organizations to produce reports. -> Provided enhanced presentations by highlighting significant findings and recommended changes.

University of Houston | Jan 2021 - May 2021

Graduate Research Assistant

Worked on predicting the pathogenicity of Genomic Sequences using Machine Learning and Deep Learning Techniques. Obtained ~80% accuracy on predicting new virus sequences.

ACM UHD Chapter | Nov 2020 - May 2021

Event Coordinator

As an event coordinator, I am responsible for organizing and coordinating between members regarding events, designing and promoting flyers for workshops and sessions.

ACM UHD Chapter | Nov 2020 - May 2021

Peer Mentor

- I support and mentor the ACM group members/ students for their minor/major projects in Data Science. - Played a lead role in hosting the Data Science Workshop which focused on key Data Science areas such as R, Machine Learning and Tableau. Workshop attended by over 30 students and received positive responses.

University of Houston | Oct 2020 - May 2021

Graduate Teaching Assistant

Provides support to 2 sections consisting of 75 total students in the areas of Python and R and act as a liaison between professor and students for Programming Foundations for Data Analytics course. • Broad teaching responsibilities include mentoring graduate students, presenting course material, conducting lectures, grading assignments.

My Education

Take a look at my formal education

Master's degree, Computer ScienceVanderbilt University | 2024
Master's degree, Data Analytics University of Houston | 2021

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