About Me
Hola! I am so glad you stop by. You are probably here to know more about me. So, here it is. I completed Master of Science in Information Technology at Rensselaer Polytechnic Institute. Not looking to brag, but I believe I am a dedicated and hard-working graduate student. I am passionate about information technology, business and the awesome ways in which these fields interact. Some words that would describe me: speak concisely, motivated, ambitious, sociable, problem-solver, analyst and a quick learner. I am interested in Data Analytics, Information Technology, Machine Learning, Artificial Intelligence and Software Engineering.
In my leisure time, I travel to new places, go on hikes, read books or just chill with family and friends.
I am excited to apply my knowledge and expertise in Data Science, Analytics and Software Engineering to a challenging new role.
My Skills
Problem Solving
Team Work
Data Analysis
Programming(C,C++,Python,R,Java)
Web Development (HTML,CSS,JavaScript)
Git
Web Design
- HTML
- CSS
- JavaScript
- PHP
- jQuery
- Ajax
- JSP
- Servlet
Programming & Databases
- C
- C++
- Java
- Python
- R
- Octave
- SQL
- MongoDb
- React
- React-Native
- Node.js
Certificate Courses
- Machine Learning by Andrew Ng on Coursera
- Big data Specialization by University of California, San Diego on Coursera
- React Native and Redux Course by Stephen Grider on Udmey
Others
- Amazon Web Services (AWS)
- RStudio
- Git
- Android Studio
- Neo4j
- Spark
- Splunk
- Netbeans
- IBM SPSS Modeler
Experience
Project Assistant and Software Engineering Intern
New York State Department of Health, Albany, New York
MAY 2019 - JULY 2019
Contributed to the development of open-source project BCI2000 (Brain-Computer Interaction) at National Center for Adaptive Technologies, Health Research Inc. under New York State Department of Health, by
- Adding features to the existing modules
- Creating an API for low-level module
- Combining different modules
- Optimizing and speeding up the existing modules
Teaching Assistant
Rensselaer Polytechnic Institute, Troy, New York
AUG 2018 - APRIL 2019, AUG 2019 - DEC 2019
Teaching Assistant for the following courses -
- Course - Introduction to Information Technology & Web Science, Students - 90, Conducted labs, held office hours, proctored exams and graded assignments and exams
- Course - Computer Science 1, Students - 70, Conducted labs, held office hours, proctored exams and graded assignments and exams
Visiting Teaching Assistant
Dr. Swati Jain Education Group
Indore, India
JAN 2018 - JUN 2018
Taught Internet & Web Technology and Basic Computer Networks to non-computing background students. Also, assisted and helped them in making projects.
Frontend Developer Trainee
Swati Jain Incubation Center
Indore, India
JUN 2017 - SEPT 2017
Learned technologies like React and React-native to develop apps on iOS ans Android simultaneously.
Developed a blueprint for a website named 'info-inder'. The website was targeted to promote a app which would notify the user whenever they are in the vicinity of a shop where they could buy the stuff they listed to buy.
Projects
Here are some of the projects that I have worked on.
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The Happy Place Bookstore
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The Stretch Goal Request Board for BD
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Analyzing and Predicting Movie Ratings from IMDb data
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Tennis Analytics
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Restaurants, Cuisine Recommendation & Feature Correlation by analyzing Yelp data
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Usability testing on HTMLEditor - a site to learn HTML (an RCOS: Rensselaer Centre for Open Source Project)
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Enhancing the Algorithms for Solving the Traveling Salesman Problem and Simulation of Best Path using a Robot
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Online Electoral System
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Banking Management
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Shipping System
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Car Parking Reservation System
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The Happy Place Bookstore
Developed an online bookstore - "The Happy Place" as part of course work for Software Development. The project is based on Netbean's e-commerce example. The project uses Java programming language (J2EE) in the backend with MySQL as database and HTML, CSS and javascript in the front-end.
Customers can browse through the books categorized by different genres. Customers can add the books to the cart, view the shopping cart, remove the book from the cart, update the quantity of the books, and checkout by paying through a credit card. The store owner can view the customer details and their corresponding orders.
Technologies used: Trello (Project Management Tool), GitHub (Version Control), MySql (Database), JavaEE, JSP, Enterprise Java Beans (EJB), Glassfish, Jmeter (Quality Assurance).
The project can be accessedhere. -
The Stretch Goal Request Board for BD
Developed The Stretch Goal Request Board for Becton Dickinson(BD) as part of IT Capstone. The focus was on to apply gamification in a workplace and to provide an user-friendly web-application. The application motivates associates to take on work which otherwise would have been shelved. The project was developed using MEAN. I served as a technical manager and developer.
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Analyzing and Predicting Movie Ratings from IMDb data
Analyzed the effects of different features such as actor rating, director rating and genre on the rating of a movie from a 3GB open dataset taken from IMDb. The insights were that a movie rating is highly dependent on the rating of its directors & actors. Linear regression, Decision Tree, Random Forest and SVM models were developed and compared. Linear Regression performed the best with an accuracy of 83.9%. The only uncertainty in the model is that the movie plot's effect is not taken into account for predicting the movie rating. The image shows the poster of the project. The source code is available here
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Tennis Analytics
Developed a model to predict the exact score for a match in Men Grand Slam Tournaments. The target was categorised into six categories {(number of sets won by player 1 - number of sets won by player 2) 3-2, 3-1, 3-0, 0-3, 1-3, 2-3 }. The models developed were multinomial logistic regression, linear discriminant analysis and random forest with boosting. The multinomial logistic regression achieved the highest accuracy of 60.11%.
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Restaurants, Cuisine Recommendation & Feature Correlation by analyzing Yelp data
Derived a method by analyzing 3GB of Yelp data to fulfil the following goals: 1. To recommend new cuisines and restaurants to the users based on ratings that they might like. 2. To recommend features to the restaurants that would probably help restaurants increase their star ratings, thereby, the number of users and revenue.
Process:
1. Using dynamic k-means clustering and restaurant ratings (average rating/average number of stars), a new cuisine is suggested to a user based on which cluster the user falls in and providing top five restaurants (if available) in the chosen city based on the ratings given by users. 2. Identifying a correlation between the comforts provided by the restaurants to the ratings given by the users and validate the correlation using the t-test. -
Usability testing on HTMLEditor - a site to learn HTML (an RCOS: Rensselaer Centre for Open Source Project)
Improved the usability of EasyHTML Editor - a website to learn HTML (an RCOS - Rensselaer Centre for Open Source) by leading a team of 5 to do usability testing. Different types of user testing and analysis learned and performed: User Analysis, Surveys, Usability testing, Focus groups, Focus Interviews.
What did I learn: Collaboration with developer team, the importance of usability on interfaces, team management, leadership. -
Enhancing the Algorithms for Solving the Traveling Salesman Problem and Simulation of Best Path using a Robot
The project consists of various approximate approaches to solve the well-known np-complete Travelling Salesman Problem. (TSP). Several approaches include using Genetic Algorithm with different crossover operators such as Sequential Constructive Crossover (SCX), Single Point Crossover (SPCX), Greedy Constructive Crossover (GCX), Neighbor-based Constructive Crossover (NCX), Window-based Constructive Crossover (WCX) were analyzed and compared. Another approach is using the Simulated Annealing algorithm includes basic Simulated Annealing algorithm and Dynamic Simulated Annealing Algorithm with Cooling Enhancer and Modified Acceptance Probability (DSA-CE&MAP) for solving TSP. Enhanced algorithms created by us are:- NCX, DSA-CE&MAP. Our algorithms improved the average value obtained by 5%. In addition to this,a simulation was done using a robot car.
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Online Electoral System
The project was aimed at building a university online electoral system for easing the election procedure. The project was fabricated using JSP, J2EE servlets, HTML, XML, CSS, javascript, jquery at frontend and SQL database and wamp server at the backend.
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Banking Management
The project was designed to simulate the operations of a banking site. It was developed using HTML, CSS, JavaScript, JavaServer Pages(JSP) and JavaServlets.
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Shipping System
Led a team of 4 to fulfil a shipping company’s software requirements with the aim to understand the management of databases. The project was designed and developed to digitize the order and tracking process for a Shipping company. It was developed using HTML, CSS, JavaScript, JavaServer Pages(JSP) and Java Servlets. MySQL database was used to manage the data.
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Car Parking Reservation System
The focus of the project was to design and develop a reservation system for parking spaces. The features included in the project were reserving a parking spot for the member, onsite allocation of free space and canceling of the reserved spot if needed. The project was developed in the C language.
Research Papers
Dynamic Simulated Annealing for solving the Traveling Salesman Problem with Cooling Enhancer and Modified Acceptance Probability
Abstract
In this paper, a dynamic (i.e. self-adaptive according to the number of nodes) Simulated Annealing Algorithm is presented to solve the well-known Traveling Salesman Problem (TSP). In the presented algorithm, the temperature parameter is adjusted on the basis of the number of nodes. To achieve dynamicity, a new parameter named “Cooling Enhancer” is introduced to control the cooling rate, thereby, regulating the temperature. Additionally, an enhanced version of acceptance probability has been used. The efficacy of Dynamic Simulated Annealing with Cooling Enhancer & Modified Acceptance Probability (DSA-CE&MAP) is compared against the basic simulated annealing algorithm (SA) [2] for some benchmark TSPLIB instances [1]. Experimental results illustrate that the new dynamic simulated annealing algorithm performs better than the basic simulated annealing algorithm for solving TSP. It has been observed that the quality of solutions (i.e. minimum total cost or distance) is significantly increased as compared to earlier method.
Published in International Journal of Scientific and Research Publications, Volume 8, Issue 3, March 2018.
DOI: 10.29322/IJSRP.8.3.2018.p7531
Genetic Algorithm for solving the Traveling Salesman Problem using Neighbor-based Constructive Crossover Operator
Abstract
In this paper, a new crossover operator named Neighbor-based Constructive Crossover (NCX) is evolved for a genetic algorithm that generates high quality solutions to the Traveling Salesman Problem (TSP). The proposed crossover operator uses the better edges present in parents’ structure by comparing the neighboring nodes of a node in order to generate off-springs. The efficacy of the proposed crossover operator, NCX is set against two other crossover operators, single point crossover (SPCX) [19] and sequential constructive crossover (SCX) [1] for several standard TSPLIB instances [2]. Empirical results and observations illustrate that the new crossover operator is better than the SPCX and SCX in terms of quality of solutions.
Published in International Journal of Engineering Sciences & Research Technology, Volume 7, Issue 4, April 2018
DOI: 10.5281/zenodo.1213003
Education
MASTER OF SCIENCE (INFORMATION TECHNOLOGY)
AUG 2018 - DEC 2019
Rensselaer Polytechnic Institute, Troy, New York
Concentration: Data Science and Analytics
Coursework: Data Science, Business Issues for Engineers and Scientists, Foundations of Human-Computer Interaction usability, Data Analytics, Information Systems for Management, Applied Analytics and Predictive Modeling, Machine Learning, Computational Vision, Software Development.
BACHELOR OF ENGINEERING
AUG 2014 - MAY 2018
G.S. Institute of Technology & Science, Indore, India
Concentration: Computer Engineering
Coursework: Data Structures, Computer Networks, Operating Systems, Algorithms, Internet & Web Technologies, Database Management Systems, Data Mining, Modern Information Retrieval, Artificial Intelligence, Information Security
HIGH SCHOOL
APR 2012 - MAR 2014
Indore Public School, Indore, India
Coursework: Major in Mathematics & Science
Fun fact: Started learning C++ (my first ever programming language) in my junior year (11th standard). Also developed an airline ticket sale and a library management system in my junior and senior year.
I have no special talents, I am only passionately curious. Albert Einstein
It always seems impossible until it's done. Nelson Mandela
Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles must begin with a single step.Lao Tzu
