Sai Ganesh Vuppala

Github:// SaiGanesh** LinkedIn:// SaiGanesh

adkbir@r.postjobfree.com +1-414-***-****

EDUCATION

MASTER’S IN DATA SCIENCE

INDIANA UNIVERSITY

Jan 2020 – (Present)

Coursework:

Big Data Analytics, Web Database

Development, Data Analytics, Deep

Learning Neural Networks,

Visualization Design, Analysis &

Evaluation, Applied Cloud Computing

for Data Intensive Sciences,

Statistical Inference, Introduction to

Informatics, Database Design,

Informatics Project Management.

BACHELOR’S IN ELECTRICAL &

ELECTRONICS ENGINEERING

JNTU HYDERABAD

2015-2019

SCHOLARSHIPS

• Awarded with the Community

Engagement Associate

Scholarship for academic year

20-21 from Indiana University,

for the work I have been doing

at The Polis Center.

• Awarded with the International

student grant from the

Department of Informatics,

Indiana University, during the

admission.

SKILLS

PROGRAMMING/SCRIPTING

Python, SQL, R, HTML, PHP, JavaScript,

C, Java.

FRAMEWORKS AND TOOLS

SSIS, Tableau, Power BI, Spark, Scikit-

Learn, Keras, TensorFlow, OpenCV,

D3.js, PostgreSQL, MySQL.

SPECIAL INTERESTS

• Machine Learning

• Deep Learning

• Big Data

• Python

• Statistics

WORK EXPERIENCE

DATA ENGINEER

Jan 2021 – (Present) Indiana Business Research Center Part-time

Collecting economic data from different U.S websites by using python libraries for web scraping.

ETL pipelines are created using SSIS packages on the data present in different file formats.

Testing and Loading the transformed data into SQL server, and hosting this data on websites that are maintained by IBRC. DATA ANALYST INTERN SAVI.org

Sep 2020 – (Present) The Polis Center Internship

Collecting, organizing, visualizing, and disseminating tabular and spatial data from the web.

Quality control on SAVI data content.

Responding to SAVI user requests that go beyond what can be done in SAVI’s online interface.

Generating static and possibly web-based maps.

GRADUATE TEACHING ASSISTANT COMPUTER & INFORMATION ETHICS, LEGAL & SOCIAL INFORMATICS-SECURITY

Jan 2020 – May 2020, Aug 2020 – Dec 2020 INDIANA UNIVERSITY

• Tasks include following up the students with course updates, answering student questions, grading the assignments, and exams. PROJECT EXPERIENCE

GENDER CLASSIFICATION & AGE ESTIMATION

To improve the sales in medium scaled businesses (i.e stores), a Convolution Neural Network model is designed to predict the gender and age group of a person who visit the store, from a live video input using Computer Vision library. Analyzing these predictions will give an understanding to adjust the products in store accordingly. LOAN REPAYMENT PREDICTION

By performing data analysis and data pre-processing on lending club dataset, a Sequential Neural Network model is designed and developed to predict whether a borrower (new potential customer) will pay back the loan amount.

TAXI FARE PREDICTION

A Machine Learning model is designed using pyspark, to predict the taxi fare of multiple vendors for given same input features and giving out a better fare as result by comparing the predicted prices. TEXT REVIEW RATING PREDICTION

Designed and developed an algorithm, by analyzing the text reviews of yelp dataset using Natural Language Processing and by applying the Multinomial Naïve Bayes classifier to predict whether the text review is 1- star or 5-star rating.

E-COMMERCE DATABASE DESIGN

Designed Business rules, Entity Relationship Diagrams (ERD’s), Relational Schemas, Subtypes, Supertypes, Normalization forms for the E-Commerce Database required for a shopping website using Microsoft Access.

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