Masters in Business Analytics

University of Illinois, Chicago

Biography

I’m a passionate Data Scientist with 3+ years of experience, currently pursuing Masters in Business Analytics at University of Illinois at Chicago with specialization in Data Science. I am excited to combine my experience and knowledge from Grad school in dealing with real life problems. I have written multiple blog posts on Towards Data Science and on this website on various machine learning concepts to extend my contribution to the data science community.

I love working on innovative projects and developing applications for business use. I enjoy the art of photography and also worked as a freelance graphic designer.

Interests

Artificial Intelligence
Natural Language Processing
Business Intelligence

Education

MS in Business Analytics, 2020

University of Illinois, Chicago
B.Eng in Electrical and Electronics, 2017

BITS Pilani, Hyderabad

Publications

Vipanchi Reddy Katthula, Dr. Ranganathan Chandrasekaran, Dr. Evangelos Moustkas

July 2020 In JMIR

Use of Wearable Healthcare Devices by US adults

The potential of healthcare wearable devices is under realized with less than one-third of US adults actively using it. With only young, healthier, wealthier, educated, techno-literate adults using wearables, other groups have been left behind. More concentrated efforts by clinicians, device makers and healthcare policy makers are needed to bridge this divide and improve the use of wearable devices among larger sections of American society.

PDF Code Dataset Published Link

Experience

Machine Learning Researcher

University of Illinois,Chicago

May 2020 – Present Chicago

• Identified the factors affecting the use of healthcare wearable devices in the US by engaging with domain experts. Found that people with income greater than $75,000 are 2.6 more likely to by Fitbits or Apple Watches compared to people with income less than $20,000.
• Gathered and processed tweets of 2400 hospitals associated with Medicare to analyze the changes in internal policies, systems, and processes because of COVID-19. Researched and summarized the trends & patterns of topics discussed overtime on Twitter.

Teaching Assistant

University of Illinois,Chicago

Aug 2019 – May 2020 Chicago

• Demonstrated Hypothesis testing and descriptive statistical concepts in R programming in 5 lab sessions of 70 students each.
• Aided students with Bayesian statistical concepts, techniques for multivariate regression, time series, and statistical process control.

Decision Scientist

UnitedHealth Group

Jun 2018 – Jun 2019 Hyderabad, India

• Collaborated closely with clients, gathered requirements, and conducted exploratory data analysis on clinical data. Integrated Ordinal Logistic Regression model (AUC 94%) into user platforms and published Tableau dashboards to track the KPIs.
• Delivery date estimator – Deployed classification models to predict the delay in delivery time of new orders which reduced the operational expenses in tracking lost orders. Optimized Hive Queries reduced the runtime by 40%.
• Improved the efficiency of ETL pipelines from RDBMS to HBase using Sqoop which decreased the delivery time of downstream BI applications by 20%.

Data Engineering Analyst

UnitedHealth Group

Jun 2017 – May 2018 Hyderabad, India

• Streamlined & maintained data warehouse, data lake metadata, and user documentation for internal business customers. Created and managed database objects including tables, indexes, and procedures using SSIS workflows and data pipelines.
• Accelerated the operations for filtering and transformation of the raw data by doing a consistent health check of complex SQL queries over time.
• Key Achievement: Designed interactive Tableau decision dashboards for the compliance team of a major retailer to understand risks associated with their practices. Helped avert potential non-compliance and regulatory risks worth more than $2.0M.

Projects

Depression Detection on Instagram

End-to-end project to predict the mental health status of Instagram users from their posts and images. Built Un-supervised LDA and Semi-supervised Topic Models using text features.

English to Telugu Translator

REST API to convert English sentences to Telugu using LSTM and Keras. Deployed the built model onto AWS while using Docker-container orchestration.

Product Recommendation System

Built content based recommendation and also product based search recommendation system using ALS algorithm on Big Data

Document Similarity and Word Embedding

Found Similarity between documents using Jaccard Similarity and including Parts Of Speech(POS) Tags of the words in the model to better find the synchronous relationship between documents. Implemented Word embedding to understand the word clusters.

400K Tweet analysis on PySpark

Implementation of Spark context, Spark SQL context on Amazon Tweets data set with 400k Tweets. Analyzed the tweets on the busiest day to find the words that were repeated the most in the selected tweets.

Sentiment Analysis on Tweets

Finding the binary sentiment of the tweets(satisfied or not) and basics of text processing.

Jaccard Cosine Similarity

Finding the contextual closeness between documents using basics of NLP. Implemented basics of text similarity on multiple files and presented the analysis.

VM-ware Improve Customer Engagement

Analyzed web analytics data of 500+ customers with 700+ variables to improve the conversion rate of visitors to customers. Presented XGBoost model with suggestions to improve it’s performance.

Posts

Map Reduce 101 - Python Implementation (Multi Threading)

I created a Mapper-Reducer implementation using basic features of Python to mimic Hadoop’s mapper-reducer functionality. I used Multi-threading (explained later) to run parallel operations. I used Google Colab to run the model and you can find the required [“Pride_and_Prejudice.

Feb 11, 2020 5 min read

Skills

R

Statistics

Python

Tableau

SQL Server, Hadoop

Microsoft BI Tools

Certifications

Tableau Desktop Specialist

Tableau Aug 2020

Advanced data visualizations and deeper understanding of Tableau

See certificate

A/B Testing

Udacity Jul 2020

Design experiments, analyze results and draw significant conclusions

Alteryx Advanced

Alteryx Jul 2019 – Jul 2021

Data Pipelining and advanced ETL

See certificate

Masters in Business Analytics

Biography

Interests

Education

Publications

Experience

Machine Learning Researcher

University of Illinois,Chicago

Teaching Assistant

University of Illinois,Chicago

Decision Scientist

UnitedHealth Group

Data Engineering Analyst

UnitedHealth Group

Projects

Posts

Skills

R

Statistics

Python

Tableau

SQL Server, Hadoop

Microsoft BI Tools

Certifications

Tableau Desktop Specialist

A/B Testing

Alteryx Advanced

Contact