Green leaf




Rahul T - Python developer
Member since:Oct 26, 2020
Profile last updated:Jun 17, 2021
Last activity:June 17, 2021, 1:45 p.m. UTC
Location:
United States of America
Student

Rahul T

I am enthusiastic about growing as a data scientist and software developer. I have experience working as an Application Developer as well as Machine Learning researcher.

Skills:    ·   ·   ·   ·   ·   ·   ·    ·    ·    ·    ·    ·    · 
Weekly Availability: 43 hours
Day UTC PST
Sun 13 - 24 06 - 17
Mon 13 - 17 06 - 10
Wed 18 - 24 11 - 17
Fri 13 - 24 06 - 17
Sat 13 - 24 06 - 17

Hourly Rate: $43.75
Experience: 5 yrs
Python: 4 yrs
Machine learning: 3 yrs
Git: 3 yrs
Jupyter: 1 yrs
Data visualization: 1 yrs
Data Science: 1 yrs
Data Analytics: 1 yrs
Engineer's Devices:
Windows
Android

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:
0.4
 

Experiences
Villanova University     Differential Testing in Hyperdimensional Computing     Student     Contract
Jan 2020 - Present
Research

  • Minimized energy consumption on image processing applications by ~80% under a quality constraint of 0-5% by finding an optimal combination of approximate settings using genetic algorithm on Python.
  • Designed algorithm to perform differential testing on Hyperdimensional computing, a new Machine Learning paradigm, for image processing application.
  • Used Git and GitHub for storing all the project files.

Skills used: Git, Python, Machine learning


Villanova University     COVID-Net     Student     Course Project
May 2020 - Aug 2020
Research

  • Designed a small-sized neural network (Deep Learning) using SqueezeNet and CapsNet to diagnose COVID-19 from chest X-ray.
  • Preprocessed and augmented X-ray data, and trained model on Tensorflow using Python, achieving an accuracy of 95.0%.

Skills used: Tensorflow, Python, Deep learning


The Vanguard Group     Data Validation and Optimization     Software Engineer     Internship
May 2020 - Jul 2020
Finance

  • Validated on-prem fund data against the cloud data using Python for the analytics team to address any discrepancies.
  • Refactored and deployed Gurobi optimization models by connecting it with AWS (AWS EC2 and AWS S3) using Boto3.
  • Created REST APIs using Flask to extract the analytics data from an on-prem server and store them in AWS.
  • Developed intramural sports league web app using Angular, Nodejs, and Mongodb in collaboration with 8 interns.

Skills used: AWS S3, MongoDB, Nodejs, AWS EC2, Python


University of California Irvine     Modeling Signal Delay in UAV systems     Developer     Internship
Jun 2019 - Aug 2019
Research

  • Designed a mutual information-based algorithm (Machine Learning) to select 10/100 best features in an unmanned aerial vehicle system.
  • Modeled a Recurrent Neural Network (Deep Learning) in Tensorflow using Python to predict signal delay using sequence-to-sequence based approach with an accuracy of ~80% for a highly skewed dataset.

Skills used: Deep learning, Tensorflow, Python, Machine learning


Villanova Physics Department     Image Modeling and Data Analytics     Student     Internship
Jan 2018 - Aug 2018
Research

  • Created histogram of relative orientation between the magnetic field and the intensity gradient using data visualization library such as seaborn and matplotlib in Python/Jupyter Notebook.
  • Modeled a Red Blue Green image of Orion Nebula and plotted magnetic vectors over the image using Pandas and APLpy, a data science/data analytics library

Skills used: Data Analytics, Data Science, Jupyter, Data visualization, Python



Link to the github:

Education
Villanova University    BS  (Computer Science)
Aug 2017 - May 2021

Courses
Deep Learning    Villanova University
Jan 2020 - May 2020
Skills learnt: Deep learning, Python, Machine learning
Platform Based Computing    Villanova University
Aug 2019 - Dec 2019
Skills learnt: React, Nodejs, Git, PHP
Software Engineering    Villanova University
Jan 2020 - May 2020
Skills learnt: Python, Java