Ayush Kalla Resume
AYUSH KALLA
------------
------------
341 New York Avenue,
Jersey City, 07307
------------/in/ayushkalla
------------/akalla123
SKILLS
Python, R, SAS, SQL, C,
Java, PHP, Tableau,
Hadoop, MySQL, SQLite3,
Scikit-Learn, MS Excel,
Linux/Windows
CERTIFICATIONS
Tableau 10 Essential
Training
LinkedIn Learning
Python For Data Science
Data Quest
Intro to Python for Data
Science
DataCamp
Introduction to R
DataCamp
ACTIVITIES
• Winner (IBM BlueHack
against Human Trafficking
hosted in partnership with
United Nations Office on
Drugs and Crime)
• Writer on ------------ at
Data Science and
Learning
• Published an IJESC
research paper about
developing a Machine
Learning Model to predict
outcome of a cricket match.
PROFILE SUMMARY
Highly motivated, tech savvy Graduate Student with expertise in Data Analytics,
Data Science, Natural Language Processing, Software Development, Project
Management and programming languages. Known to create efficient processes
for acquiring, extracting, integrating, transforming, and modeling data to derive
useful information. Seeking a position as an intern in a fast-paced and dynamic
firm to create models that generate insight.
PROFESSIONAL EXPERIENCE
STEVENS INSTITUTE OF TECHNOLOGY
Graduate Teaching Assistant
01/2019-Present
• Work with Professor Wayne Huang as Teaching Assistant for MIS-710 Process
Innovation and Management.
• Provide students with clearly defined course objectives, offering constructive
feedback based on student performance.
• Supervise student examinations and grade quizzes and assignments more
efficiently, increasing work efficiency.
CENTRAL DRUG RESEARCH INSTITUTE, LUCKNOW, INDIA
Research Intern
09/2017-12/2017
• Gathered data on Parkinson’s disease for the project 'Data Science Study for
Disease Awareness'; analyzed and visualized various trends in the spread of
Parkinson’s disease across the Globe using Tableau.
• Determined various factors directly or indirectly affecting the disease.
PROJECTS
Human Trafficking Knowledge Graph (IBM BlueHack)
03/2019
Created a Knowledge Graph to determine correlation between certain illegal
websites and NYPD Crime Database to identify possible cases of Human
Trafficking; Judged as the best solution for the hosted problem from the
competition
Hate Comment Detector (JP Morgan Code For Good)
02/2019
Hosted a flask website in under 24 hours to detect hate comments using Natural
Language Processing (NLP) from Twitter and Live news in real time; applied
Logistic Regression and achieved 91 % accuracy for the model.
Genre Prediction (STEVENS INSTITUTE OF TECHNOLOGY)
12/2018
Scraped data of 15,000+ movies from ------------ using Python
(Beautiful Soup and Selenium) and achieved an overall accuracy of 81%
using Scikit-Learn (voting classifier) for all the machine learning models
Rainfall Prediction (STEVENS INSTITUTE OF TECHNOLOGY) 12/2018
Applied CART algorithm using R on Australian weather data consisting of 3000
data points and visualized the spread of rainfall over time using ggplot;
achieved 86% accuracy for the model.
Digit Recognizer (------------)
11/2018
Developed a neural network to recognize handwritten digits using keras and
Tensorflow on the MNIST data-set; Currently ranked 30 out of over 250
participants from all over the world.
EDUCATIONAL QUALIFICATION
STEVENS INSTITUTE OF TECHNOLOGY, HOBOKEN, NJ
Master of Science in Information Systems (GPA: 4.0)
Merit Award: Master’s Fellowship Award
VES INSTITUTE OF TECHNOLOGY, MUMBAI, INDIA
Bachelor of Technology in Information Technology
Available Summer 2019
AYUSH KALLA
------------
------------
341 New York Avenue,
Jersey City, 07307
------------/in/ayushkalla
------------/akalla123
SKILLS
Python, R, SAS, SQL, C,
Java, PHP, Tableau,
Hadoop, MySQL, SQLite3,
Scikit-Learn, MS Excel,
Linux/Windows
CERTIFICATIONS
Tableau 10 Essential
Training
LinkedIn Learning
Python For Data Science
Data Quest
Intro to Python for Data
Science
DataCamp
Introduction to R
DataCamp
ACTIVITIES
• Winner (IBM BlueHack
against Human Trafficking
hosted in partnership with
United Nations Office on
Drugs and Crime)
• Writer on ------------ at
Data Science and
Learning
• Published an IJESC
research paper about
developing a Machine
Learning Model to predict
outcome of a cricket match.
PROFILE SUMMARY
Highly motivated, tech savvy Graduate Student with expertise in Data Analytics,
Data Science, Natural Language Processing, Software Development, Project
Management and programming languages. Known to create efficient processes
for acquiring, extracting, integrating, transforming, and modeling data to derive
useful information. Seeking a position as an intern in a fast-paced and dynamic
firm to create models that generate insight.
PROFESSIONAL EXPERIENCE
STEVENS INSTITUTE OF TECHNOLOGY
Graduate Teaching Assistant
01/2019-Present
• Work with Professor Wayne Huang as Teaching Assistant for MIS-710 Process
Innovation and Management.
• Provide students with clearly defined course objectives, offering constructive
feedback based on student performance.
• Supervise student examinations and grade quizzes and assignments more
efficiently, increasing work efficiency.
CENTRAL DRUG RESEARCH INSTITUTE, LUCKNOW, INDIA
Research Intern
09/2017-12/2017
• Gathered data on Parkinson’s disease for the project 'Data Science Study for
Disease Awareness'; analyzed and visualized various trends in the spread of
Parkinson’s disease across the Globe using Tableau.
• Determined various factors directly or indirectly affecting the disease.
PROJECTS
Human Trafficking Knowledge Graph (IBM BlueHack)
03/2019
Created a Knowledge Graph to determine correlation between certain illegal
websites and NYPD Crime Database to identify possible cases of Human
Trafficking; Judged as the best solution for the hosted problem from the
competition
Hate Comment Detector (JP Morgan Code For Good)
02/2019
Hosted a flask website in under 24 hours to detect hate comments using Natural
Language Processing (NLP) from Twitter and Live news in real time; applied
Logistic Regression and achieved 91 % accuracy for the model.
Genre Prediction (STEVENS INSTITUTE OF TECHNOLOGY)
12/2018
Scraped data of 15,000+ movies from ------------ using Python
(Beautiful Soup and Selenium) and achieved an overall accuracy of 81%
using Scikit-Learn (voting classifier) for all the machine learning models
Rainfall Prediction (STEVENS INSTITUTE OF TECHNOLOGY) 12/2018
Applied CART algorithm using R on Australian weather data consisting of 3000
data points and visualized the spread of rainfall over time using ggplot;
achieved 86% accuracy for the model.
Digit Recognizer (------------)
11/2018
Developed a neural network to recognize handwritten digits using keras and
Tensorflow on the MNIST data-set; Currently ranked 30 out of over 250
participants from all over the world.
EDUCATIONAL QUALIFICATION
STEVENS INSTITUTE OF TECHNOLOGY, HOBOKEN, NJ
Master of Science in Information Systems (GPA: 4.0)
Merit Award: Master’s Fellowship Award
VES INSTITUTE OF TECHNOLOGY, MUMBAI, INDIA
Bachelor of Technology in Information Technology
Available Summer 2019