• Newly joined, will be added as we move along

• Created and executed Unit, Integration and Regression test plans based on system and validation requirements.

• Worked on various Internet connectivity Protocol (SFTP, FTP(s), HTTP(s), SMTP etc.)

• Responsible for identifying EDI services and solutions which would best fit the customer requirements and consequently propose the same to clients.

• Worked on EDI Standards (ANSI X12, EDIFACT) and XML Standards; Worked with Operations, IT Production Support, and IT Client Implementation teams to understand requirements so that the correct solution can be implemented.

• Knowledge of implementing proposed EDI solutions to clients on different tools like Contivo, Sterling Integrator, VAN (Value added network), MQ (Message Queue).

• Responsible for Overall EDI tracking and status reporting, and for managing scope, planning, tracking, change control and other aspects of the project.

• Business process mapping for various EDI formats like 810, 850, 855, 856, 997, 846, 860, 846, 944, 940,867, 820, 875 and 828.

• Involved in partner setup from QA to production as a part of migration and looked through the process of setting up TPs (Trading Partners) to avoid the errors.

• Worked closely with the developers, business users, QA, and other technology professionals to ensure that project deliverables are completed on time and within budget.

• Responsible for Overall EDI tracking and status reporting, and for managing scope, planning, tracking, change control and other aspects of the project.

• Part of a team of interns tasked with maintaining and updating the codebase used for various in-house project

• Projects included creating a platform for certain clients that would be used to create both B2B and B2C connections between the business and their consumers.

• Contributed to the efforts of supporting and providing one central repository for all information that is shared by all the various ERP facets in order to smooth the flow of data across the organization.

• Implemented frameworks and scripts to help introduce dynamic infrastructure and automate certain coding setups to reduce manual effort by 35% and time to completion by 50%.

Project: eGuru Learning Software

• A complete quiz taking and feedback providing software aimed at the mechanical and civil engineering undergraduate students. It provided the instructors with an easy method of asking students to answer questions related to the course being taught, and also provide the students with the necessary feedback based on the answers that the students have chosen.

• Led a team to design, develop and test an examination tool software, to aid the department of Civil Engineering to conduct tests and automate the process of grading, using Java, Swing, Junit, Git and Eclipse for the process.

• Interacted with the clients and the project manager to gather the technical and design requirements, and liaised with the product team to identify new requirements and manage costs and schedule.

• Developed the software using Agile methodology and followed the best practices of SDLC.

• Solved the problem of manual grading mistakes, reduced the time taken to prepare and grade the tests by 50%, and achieved 99% accurate evaluation results.

• It aims to eliminate the traditional pen-and-paper method of in-class quizzes, whereby easing the burden on both the students and the instructors in the class.

It will be put in place for all courses from Spring 2018 in the Civil Engineering department for official class quizzes and assignments.

Team that created eGuru Engineering Educator Software

• Worked in a team of instructional writers in the mathematics and testing department to design the syllabus and questions for school students of Grade 1-10 in the US.

• Coded and performed testing and debugging on the front-end website for the clients.

• Created educational lessons and tests based on the requirements conveyed to us by the clients.

• Started work as a student employee at certain stations in the food court.

• Based on the quality of my work, I was promoted to student manager and made responsible for the proper daily functioning of the various stations in the entire food court along with other managers.

Me with the managers

• Started The Menace Football Academy to teach kids aged 6 to 15 how to play soccer.

• Coached approximately 30 children at a time during various seesions based on the different age groups and created customized training drills and routines for each age group, along with a team of 4 coaches.

• Managed a team of children who reached the semi final of an under-14 outdoor soccer tournament held at the Cooperage ground in Mumbai.

• Responsible for the smooth functioning of the football academy and led various workshops and events for all the participating children.

• Organized blood donation drives in various location over Mumbai, India.

• Set up educational camps and workshops for underprivileged children in the city.

• Coordinated sports days and other activities for children from impoverished areas.

• Managed the technical events held during the inter-college festival.

• Organized technical workshops such as Unity game development workshop, Robotics workshop and Cyber security workshop for the students from the Computer Science and Electronics engineering fields.

• Student council member and acted as a representative for the students and interacted with the professors and the dean to ensure the best solution to any student-related problem.

• Coordinated various placement drives along with the Technical Placement Officer and interacted with various company representatives before the campus job fair.

Project Guide: Dr. Matthew Hertz, UB.

• A complete quiz taking and feedback providing software aimed at the mechanical and civil engineering undergraduate students. It provided the instructors with an easy method of asking students to answer questions related to the course being taught, and also provide the students with the necessary feedback based on the answers that the students have chosen.

• Developed the software using Agile methodology and followed the best practices of SDLC.

• Led a team to design, develop and test an examination tool software, to aid the department of Civil Engineering to conduct tests and automate the process of grading, using Java, Swing, Junit, Git and Eclipse for the process.

• Interacted with the clients and the project manager to gather the technical and design requirements, and liaised with the product team to identify new requirements and manage costs and schedule.

• Solved the problem of manual grading mistakes, reduced the time taken to prepare and grade the tests by 50%, and achieved 99% accurate evaluation results.

• It aims to eliminate the traditional pen-and-paper method of in-class quizzes, whereby easing the burden on both the students and the instructors in the class.

It will be put in place for all courses from Spring 2018 in the Civil Engineering department for official class quizzes and assignments.

• Technologies Used: Java, Swing, Junit, JBuilder, Canvas, Git and Eclipse.

Click here to view the project on GitHub.

• An HTML website containing my resume and online portfolio.

• An efficient way to display my resume, make my profile more appealing to recruiters, and stand out from the crowd.

• Technologies Used: HTML5, CSS, JavaScript, Bootstrap

Click here to view the project on GitHub.

Project Guide: Dr. Wenyao Xu, UB.

• The tasks here were to determine the proper Verilog module which would operate (either by voxels marking or line intersection, see the design section) on an incoming voxel coordinate pairs, the Verilog module which would distinguish whether an incoming voxel pair is malicious, and determine the Verilog implementation which would successfully detect whether there is a collision occurring between the two voxel pairs.

• Technology Used: Verilog

Click here to view the project on GitHub.

Project Guide: Dr. Varun Chandola, UB.

• Handwritten Digits Classification using Machine Learning: In this assignment, our task was to implement a Multilayer Perceptron Neural Network and evaluate its performance in classifying handwritten digits. We also used the same network to analyze a more challenging face dataset and compare the performance of the neural network against a deep neural network using the TensorFlow library.
  Click here to view the project on GitHub.
• Logistic Regression and SVM: In this assignment, our task was to implement Logistic Regression and use the Support Vector Machine tool to classify handwritten digit images and compare the performance of these methods, in machine learning.
  Click here to view the project on GitHub.
• Implementation of classification and regression in machine learning: Here, we implemented various concepts in machine learning such as Gaussian Discriminators (LDA and QDA), Linear Regression, Ridge Regression and Non-linear Regression.
  Click here to view the project on GitHub.

• Technologies Used: Python, numPy, sciPy, TensorFlow

Project Guide: Dr. Chang Wen Chen, UB.

• In this project Hough Transform was implemented from scratch to detect circles of any given size in any image provided as input.

• The algorithm was executed using various concepts in computer vision and image processing such as Edge Detection, Gaussian Filtering and Accumulator Arrays.

• Technologies Used: Python

Click here to view the project on GitHub.

• Designed a music player in MATLAB and Java, which would automatically suggest songs based on the user’s emotions detected using facial expression recognition, captured using the user’s camera.

• Achieved an overall accuracy of 83% in capturing and identifying the correct facial expression of the user.

• Project involved using SVM to classify the emotions and using the JAFFE database as the training data.

Technologies Used: MATLAB, Java

• Designed a movie review website, from scratch, where the user can access information about any movie in the database, and provide a personal review.

• Used HTML5, CSS, Bootstrap and Javascript for the front-end, and PHP and MySQL for the back-end development.

• Technologies Used: HTML5, CSS, Bootstrap, Javascript, PHP, mySQL, Apache.

Click here to view the project on GitHub.

Project Guide: Dr. Jing Gao, UB.

• Configured a single-node Hadoop cluster and implemented MapReduce K-means, along with the other clustering algorithms in Python.

• Compared time complexity and achieved results with non-parallel K-means for given training datasets.

• Also implemented three clustering algorithms to find clusters of genes that exhibit similar expression profiles, which are K-means algorithm, Hierarchical Agglomerative clustering with Single Link (Min), and Density-based DBSCAN (Density-based spatial clustering of applications with noise)

• Technologies Used: Python, numPy, sciPy, skLearn, Hadoop, Hbase.

Click here to view the project on GitHub.

Project Guide: Dr. Jing Gao, UB.

• Implemented three classification algorithms by yourself: Nearest Neighbor, Decision Tree, and Naïve Bayes.

• Implemented Random Forests based on our own implementation of Decision Tree.

• Implemented Boosting based on our own implementation of Decision Tree.

• Adopted 10-fold Cross Validation to evaluate the performance of all methods on the provided datasets in terms of Accuracy, Precision, Recall, and F-1 measure.

• Technologies Used: Python, numPy, sciPy, skLearn, Hadoop, Hbase.

Click here to view the project on GitHub.