Sri Harsha Modali

Building W Apt# 218, 3800 SW 34th Street, Gainesville, FL 32608 · Ph: (352) 870-7295 · harsha.modali@gmail.com

Strong engineering professional with a Master's degree focused in Computer Science from University of Florida. Experienced Programmer with a demonstrated history of working in Data Science, Machine Learning, Software Development.

Experience

Data Scientist Intern

ThinkHR Corporation
  • Designed and developed conversational AI software applications using state of the art Natural Language Processing (NLP) algorithms and Python
  • Front-end development using React
  • Text classification and Semantic Textual Similarity using Tensorflow Universal Sentence Encoder
  • Deployment of models using Docker and AWS
June 2019 - December 2019

Machine Learning Research Programmer

Intelligent Health Systems Lab, UF
  • Built deep learning model to examine how postoperative pain scores change with respect to time achieving ~90% accuracy
May 2019

Machine Learning Research Programmer

Florida Institute for Cybersecurity Research Lab, UF
  • Developed adversarial and practical hidden voice attacks against speech recognition systems and machine learning models.
January 2019 - April 2019

Software Analyst

Aspire Systems India Pvt. Ltd
  • Designed and developed enterprise web applications
  • Implemented and tested code in Agile Environment
  • Contributed to enhancements and upgrades in multiple projects
June 2017 - June 2018

Education

University of Florida

Master of Science
Computer Science

GPA: 3.7/4

August 2018 - May 2020

VIT University

Bachelor of Technology
Electronics & Communication

GPA: 9.48/10

June 2013 - May 2017

Skills

Programming Languages

Python, C++

Machine Learning and Deep Learning libraries

Scikit-Learn, Keras, Tensorflow, PyTorch

Web scraping

Beautiful Soup

Data analysis

Numpy, Pandas

Big data processing

Pyspark

Software Development

React, AngularJS, Node.js, HTML, CSS, JavaScript

Version control

Git

Databases

SQL

Data visualization

Matplotlib, Seaborn

Natural Language Processing

NLTK

Fields of Interest

  • Machine Learning
  • Data Science
  • Software Development
  • Natural Language Processing

Projects

Multi Class Text Classification using Pyspark

  • Classification of San Francisco Crime description into 33 re-defined categories using supervised machine learning algorithms in Spark

Olympic Data Analysis

  • Developing a web-based database application program that allows the user to view and analyze the historic Olympic data
  • The server side of the application is built using Node.js and Express framework
  • The front end is built using AngularJS and the database used is Oracle Database

Human Activity Recognition with Keras and Apple’s Core ML

  • Developed deep neural network machine learning model in Keras to classify the type of human activity (walking, jogging, sitting etc) based on a given set of accelerometer data from a mobile device carried around a person’s waist.
  • Created a Core ML file from Keras using Apple’s coremltools in Python for a multi-dimensional deep neural network (DNN) and tested within a Swift playground.

Forecasting Air Quality Index using Artificial Neural Networks

  • Developed a predictive model to forecast Air Quality Index (AQI) and PM2.5 pollutant concentration in the cities of Houston, Los Angeles, New York City and Delhi by using Artificial Neural Networks such as Feed forward, Cascade forward, Elman, Radial basis function and NARX.
  • Regression algorithms such as Support vector regression and Multiple linear regression with gradient descent variants were also employed.

Bitcoin Simulator

  • Developed web interface using Phoenix framework of Elixir for the simulation of bitcoin protocol with features such as mining, wallets, blockchain, P2P Network, payment processing and bitcoin transaction from a sender to a receiver.

Sign Language Interpreter

  • Developed a windows app under Microsoft Campus Connect Program to interpret the gestures and motions of sign language and display their meaning in the text format.
  • Added an option to hear the meaning of the gestures. Concepts of image processing algorithms are included in the working of the app.

Publications

  • Forecasting Air Quality Index using Regression Models- A case Study on Delhi and Houston IEEE Conference: International Conference on Trends in Electronics and Informatics

Languages

  • English
  • Hindi
  • Telugu

Extracurricular Activities

Vice President- IEEE Professional Communication Society- VIT University

  • Supervised technical and non technical events being conducted by the chapter/ club.
  • Management of resources and budget.

Volunteer- Help International

  • Served as volunteer for the welfare and upliftment of tribals residing in the state of Telangana, India.
  • Actively involved in teaching methods of proper sanitation.