Hello!

My name is Nitika Garg.

I'm a

Tempe, Arizona
nitikagarg@outlook.com
+1 408 425 9770

About Me

My name is Nitika. I recently graduated with a Masters in Computer Science from Arizona State University.

Prior to Masters, I worked as Software Engineer for 3+ Years at Nagarro, India and also did an ML internship at Zscaler, San Jose in the summer of 2019.

I have considerable experience building Backend of high-performant and scalable applications, and a fair experience in Full-Stack Development also. Recently I have worked on a couple of projects related to Text Classification, Anomaly Detection and NLP.

Currently, I am looking for new opportunities in Backend Development, Full-Stack Development, NLP, and Machine Learning.

Skills

Programming Languages

Python

C#

C++

C

JavaScript

Java

Frameworks and Tools

.NET

MVC,

REST

GIT

Jira

Visual Studio Code

AWS

Linux

Databases

MSSQL

PostgreSQL

MySQL

Redis

Machine Learning

NLP

Deep Learning (BERT)

Clinical text mining

Scikit-learn

NumPy

Matlab

Pandas

Timeline

Now

Currently open to New Opportunities

Looking for Software Developer/ Machine Learning Engineering Roles.

May 2020

Masters, Computer Science

Arizona State University

Coursework: Statistical Machine Learning, Natural Language Processing, Data Mining, Data Processing at Scale

Jun-Aug'19

Engineering Intern

Zscaler, San Jose

  • URL categorization using Machine Learning (Security-as-a-Service to filter web traffic)
  • CASB (Cloud Access Security Broker): APIs for policy enforcement on cloud storage like Box, OneDrive, and SharePoint.

Technologies:

Python

Scikit-Learn

REST

Jan'15 - Jul'18

Software Engineer

Nagarro, India

  • Reduced data access latency using in-memory caching, DB optimization.
  • Developed Single Page Applications (SPA) to enhanced User-Experience.
  • Redesigned backend APIs by adding Object-relational mapping, logging, and pagination.
  • Developed the REST APIs, and integrated document processing toolkit for a Content Management System.
  • Automated attendance tracking using biometric access data for an employee management portal.

Technologies:

.NET

C#

REST

Memcached

MSSQL

Javascript

Redis

Angular

Jul 2015

Bachelor of Engineering, Computer Science

Thapar University

Coursework: Object-Oriented Programming, Data Structures and Algorithms, Operating Systems, Computer Networks

Projects

Adverse Drug Event Detection in Medical Text

Used Deep learning NLP model BERT on clinical text to detect if a drug caused an adverse effect or treated a medical condition.

NLP

Python

BERT

Fraud Detection in credit card transactions

Preprocessed data by handling missing and categorical values, class-imbalance, high-dimensionality, Exploratory Data Analysis for feature selection, and compared Classification algorithms to label transactions as fraud and non-fraud.

Python

Classification

Feature Extraction

Healthcare Forums Mining

Extracted disease, symptoms and treatments relationships from user posts from healthcare forums like WebMD and created a search interface to get top symptoms and treatments for a disease.

Python

Java

Data Mining

UMLS

Improved usability prototype

Designed an enhanced usability and user experience (UX) prototype for airindia.com based on the principles of Human-Computer Interaction

Human-Computer Interaction