JESHMITHA GUNUGANTI
Business Data Analyst
United States
Hello, I'm a Computer Science Grad and a Business Data Analyst, with a strong background in business intelligence, and strategic data-driven decision-making. My strong communication and stakeholder management skills enable me to collaborate effectively with cross-functional teams and bridge the gap between business and technology.
My expertise lies in requirements gathering, documentation, meeting facilitation, design and development of complex solutions. I excel at delivering engaging project presentations and demonstrations. I have a strong passion for collecting and analyzing large amounts of data to deliver data-driven actionable insights. I’m proficient in programming languages such as Python, Java and SQL, and in working with data/BI tools.
SKILLS
Data Analysis
Using
Coding & Databases
Using
AWS
Other tools
Certifications
CAREER
Data Analyst
Teaching Assistant
- Taught concepts of machine learning algorithms - gradient descent, regression, classification, clustering, PCA.
- Graded student projects & assignments
- AWS - Designed an interactive web page and configured the web server using an EC2 instance.
- GCP - Developed a college inquiry chatbot using Google Dialogflow.
- Docker -Created a docker container for a simple Python script.
- PySpark - Analyzed weather data from NCEI using Jupyter notebook & PySpark.
- Databricks - Performed exploratory data analysis (EDA) to gain insights on a Crime Dataset using the Community Edition of Databricks.
- Taught OOPS concepts and Data Structures - Arrays, LinkedList, Stacks, Queues, and Trees.
- Hosted weekly office hours and lab sessions to solve student queries in programming concepts.
University of Cincinnati
2011 - present
System Development Engineer
Amazon Inc.
2011 - present
Business/Data Analyst
- Extracted tweets related to the telecom industry and Qvantel organization using Twitter API.
- Analyzed the activity on the tweets, performed sentiment analysis, and derived insights.
Qvantel Software Solutions
2011 - present
Data Research Intern
International Institute of Information Technology (IIIT)
2011 - present
Data Analyst Intern
- Developed an end-to-end data-driven workflow architecture for the Restaurant Recommender system on Azure AutoML.
- Performed Data Visualization of the SQL database using PowerBI.
Tech Mahindra Inc.
2011 - presentPORTFOLIO
Video Summarization
Developed an automatic video summarization model by combining attention mechanism with graph modeling techniques and using VAE-GAN(Variational Autoencoder - Generative Adversarial Network) architecture with transformer encoder.
Engine Failure Prediction
Won 2nd prize in VIGNITE National Hackathon
An end-to-end system that predicts any machine malfunction weeks by tracking live data from sensors and automatically turns off the machine without any human intervention while sending notifications to the owner.
Speech Emotion Recognition
Extracted MFCC features from audio recordings and trained the CapsuleNet & CNN-LSTM deep learning models. Achieved state-of-the-art 94.01% performance accuracy with the CapsuleNet model, which outperformed traditional models.
Machine Health Prediction
Developed an end-to-end system for “Prognostic System Health Management” by building an android application to monitor and predict the machine’s health condition that could help the industry environment by providing advanced alerts.
Yelp Restaurant Data Scraping
Scrape information about restaurants in major cities of the US from Yelp using Python and BeautifulSoup.
Flight Delay Prediction
Developed a model to predict the arrival delay of flights at the destination airport using supervised ML algorithms - XGBoost and Regression models.
