Sai Pravallika Myneni

Master of Science in Artificial Intelligence

September 2022 - December 2023

Relevant Coursework

• Machine Learning
• Data Science Pipelin
• Intro to Artificial Intelligence
• Human Computer Interaction
• Deep learning

B.Tech in Computer Science and Engineering

July 2017 - August 2021

Relevant Coursework

• Database Management Systems
• Data Analytics
• Machine Learning

Starter's Academy

June 2021 - Present

Relevant Coursework

• Data Wrangling
• Time Series
• Text classification
• Recommender Systems

CDW

May 2024 - Present/h5>

Software Engineer I, Data

• Leveraging AI and machine learning knowledge to design and optimize scalable data platforms such as Fabric, enhancing cloud computing solutions and improving platform performance while delivering cost-efficient, self-service capabilities.
• Brainstorming and implementing new generation ideas such as creating a tutorial series on Fabric, teaching cloud computing concepts and scalable data system design, helping peers and teams streamline development processes.

Northwestern University Institute for Policy Research

June 2023 - March 2024/h5>

Research Assistant

• Developed interactive dashboards using Streamlit and Plotly to address Native issues, enhance understanding while also aiming for a 30% increase in GIS data accessibility for Indigenous communities through local-level analysis.
• Implemented Selenium to scrape courtroom data from YOLO County, enhancing case prioritization.

Ulta

Sept 2023 - Dec 2024

Data Analyst - Capstone, Strategic Analytics

• Spearheaded a machine learning project aimed at identifying High-Value Members beyond traditional yearly net sales.
• Employed clustering algorithms, including K-means, within Google Cloud Platform using BigQuery to categorize a dataset of 8.9 million customers into four optimal clusters.

CDW

April 2023 - June 2023/h5>

Data Scientist, Practicum

• Designed a personalization engine implementing hybrid collaborative filtering, targeting a 15% improvement in sales.
• Utilized similarity matrices and Non-negative Matrix Factorization to capture latent factors influencing customer 
preferences and purchasing patterns.

Facebook Research

Oct 2022 - December 2022

Open Source Contributor – AEPsych

• Contributed to AEPsych, an open-source Python framework for adaptive experimentation in psychophysics, enhancing server functionality and trial workflows.
• Collaborated with a teammate to improve configuration handling, data logging, and documentation for easier adoption.

CURVEX

Jan 2022 - April 2022

Machine Learning Intern

• Analysed the brain activity through different frequency bands and Electroencephalogram
• Applied different data processing and machine learning techniques to time-series data

Indian National Centre for Ocean Information Services

Feb 2021 - July 2021

Research Intern

Predicting Temperature Anomaly in Indian Ocean using Long Short Term Neural Network

• Extracted anomaly information from satellite images
• Devised a univariate time series model based on neural networks to estimate anomaly

Women in Data Science Datathon

Jan 2022 - June 2022

Phase I

• Compared regression models such as Support Vector Regressor, Linear Regressor, Decision Tree Regressor, Random forest Regressor, Lasso Regression and GradientBoostingRegressor to predict based on Root Mean Squared Error

Phase II

• Collaborated with international researchers to understand usage of energy consumption in France

World Data League

April 2021 - July 2021

Secured Fourth Place

• Model of integrated transports for senior citizens
• Identifying road segments with potential safety hazard
• Predicting the demand for shared bicycles
• Attracting population to green spaces in metropolitan areas

Women/Hacks 3.0 by University of California, Santa Barbara

April 2021

Posture Analyzer

• Posture analyzer captures your video using webcam to analyze your posture and displays whether it is good or bad.
• Won Best Hack in Overall Category
• Won Best Physical Health Hack

She Codes by IEEE CIS, G H Raisoni College of Engineering

August 2020 - October 2020

• Deep dive into python programming
• Introduced to Supervised Learning, Unsupervised Learning
• Worked on first Machine Learning project

WinHacks 2021 by University of Windsor

March 2021

Health Bill Estimator

• Developed a regression model to predict the health bill
• Designed the prototype using Figma and then website using HTML and CSS
• An API was developed using Flask to serve the prediction model
• Deployed the web app on Heroku

Hacklytics 2021- Datathon by Georgia Tech

Feb 2021

Covid-19 and Mobility

• Data gathering and Preprocessing
• Performed Time Series Analysis
• Developed a predictive model for estimating the impact of mobility on covid
• Gained an accuracy of 90.6% for the model

WiCS Hacks 2021

Feb 2021

Moodify

• Developed a open cv based mood detector that uses various libraries to play the song as per your mood

VenusHacks 2021 by University of California, Irvine

Feb 2021

EZ-Write

• Developed a Webpage(HTML, CSS, Flask), which allows user to upload a audio notes
• Converted the audio to a transcript using python audio and text libraries
• The text is converted into handwritten text in pdf format using tensorflow