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Neel Kapadia

Graduate Student, Computer Science, NC State University

Resume

Career Goal

To use my knowledge, skills and expertize in the fields of software engineering and data science.

    • Date of Birth
    • : January 10, 1996
    • Phone
    • : (+1) 919-985-1484
    • Address
    • : 3006 Kings Ct, Apt G, Raleigh, NC 27606
    • Email
    • : neel.kapadia10@gmail.com
    • University Email
    • : ntkapadi@ncsu.edu
    • Website
    • : www.neelkapadia.github.io

Education

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North Carolina State Univesity

Currently pursuing Master's in Computer Science, GPA: 3.9/4.0.

  • Courses: Software Engineering, Design and Analysis of Algorithms, Database Management Systems, Foundations of Data Science.
  • Activities: Student Employee at Campus Enterprises, Volunteer for Software Vulnerability Testing for NCSU Libraries

Veermata Jijabai Technological Institute

Bachelor of Technology in Information Technology, GPA: 8.75/10.0.

  • Courses: Advanced Java, Data Structures, Computer Networks, Operating Systems, Calculus, Linear Algebra, Data Mining, Artificial Intelligence.
  • Activities: Chief Sponsorship Officer of Technical Fest, Member of Alumni Meet organizing team, Department Head of cultural festival

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Experiences

Medfusion Inc

Software Engineering Intern

Data Services Team

May 2018 - Present

Project 1: Data Analytics Application (Java Enterprise, Spring Boot, Hibernate, PostgreSQL, NoSQL)

Generating statistical reports for user behavior on Medfusion APIs and services.

Project 2: Business Analytics and Intelligence (QLIK Visualization, Python, PHIR Database)

Preprocessing and Visualization of patient CCDs to detect patterns in patient behavior and enduring impact on API usage.

Barclays

Technology Analyst Intern

Investment Banking Services

May - July 2016

Project 1: R&D on Apache Kafka (Apache Kafka API, Java)

Understanding the advantages of and implementing Apache Kafka for Publish-Subscribe Paradigm over existing Apache ActiveMQ.

Project 2: Migration scripts from SVN to Git (Python)

Built 14 scripts to reduce reliance on SVN system by migrating source code to GIT and SCM management.

Larsen and Toubro

Data Analyst Intern

Spend Analytics Department

May - July 2015

Predictive Analysis of Project Expenditure (Python)

Generated algorithm to improve the cost-cutting model (by 18%) and predict future trends in expenditure.

Fifth Quarter Infomedia

Web Development Intern

Media and Entertainment Services

May - July 2014

Building a Media Website (HTML, CSS, JavaScript, SQL, JQuery)

Built a website containing latest movie news, celebrity interviews, songs, blogs etc.

Technical Skills

**Years of experience

Projects and Publications

  • All
  • Software Engineering
  • Data Science
  • Non-Academic and Hackathons
  • Publications
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Course Recommender System
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Planning and Scheduling Assistant
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Self-Tuned Decision Tree
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Analysis of Software Bug Detection
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Hotel Management System
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New York City Venue and People Recommender System
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University Accreditation System
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Bus Reservation Application
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Virtual Legal Assistant
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Research Publication
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Course Recommender System

Natural Language Processing, Web Scraping, Latent Dirichlet Analysis, Selenium Framework, MongoDB, Python, NodeJS, NoSQL
Designed a chatbot application which recommendeds complete course plan based on students' interest and career goals.
Github Repo

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Planning and Scheduling Assistant

Google Dialogflow, AWS, MongoDB, Task Scheduling, Python
Developed an assistant which took as input the tasks the student has to perform in the following week (with deadlines), and returned a time-table which minimized the chances of missing deadlines. Also, given list of people, the assistant checked their availability and suggested appropriate meeting times.
Github Repo

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Self-tuned Decision Tree

Preprocessing, Entropy Measure, Discretization and Binning, Contrast Set Matching, Python
Designed a custimized decision tree algorithm for an automobile dataset having multiple (three) goals. Customizable to balance trade-off between goals and the model had an average accuracy of 82.6%.
Github Repo

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Analysis of Software Bug Reopening

R, Python, Fast Frugal Trees, Random Forests, Classification
Generated a predictive learning model using Fast Frugal Trees and Random Forests to perform an analysis of bugs in a software project. Considering various situations in bug resolution like time of the day, day of the week, expertize of the resolver, impact factor of the bug, cost of fixing, time taken to fix the bug etc., the algorithm predicted if the bug will be reopened or not.


Github Repo
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Hotel Management System

Java Enterprise, MariaDB, MySQL
Created a Java Application which can be used for a fully-functional chain of hotels. The system handled transactions, bill generation, hotel management, staff, customers, bookings etc.


Github Repo
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New York City Venue and Place Recommender Algorithm

Python, Collaborative Filtering, Probabilistic Modelling, Bayesian Classification, Haversine Distance, Convex Hull The project comprised of 4 modules:

  1. Exploratory Visualization to understand the distribution of check-ins
  2. Explanatory Visualization to visualize trends and patterns in people's behavior
  3. Recommending places to people based on their past check-ins and interests
  4. Recomennding people (visitors) to a place based on users' behavior and location, popularity of the venue

GitHub Repo

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University Accrediation System

HTML, CSS, PHP, JavaScript, Bootstrap, SQL

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Bus Reservation System

Java, SQL, Java Spring Framework

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Virtual Legal Assistant

Python, Google DialogFlow

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Improved round-robin algorithm

Python
Research_Paper.pdf

Location

3006 Kings Ct, Apt G, Raleigh, NC 27606

Email

neel.kapadia10@gmail.com

Contact

(+1) 919-985-1484