Megha Nivrutti Korade
Pursuing Master’s in Information Science 3.87/4.0
(Available from May 2020)
Rochester Institute of Technology, Rochester, NY
Bachelor of Engineering in Computer Science
University of Mumbai, India May 2017
Address: 11 River Meadow Dr, Rochester, NY 14623
HackerEarth profile: /@megha37
TATA Consultancy Services Ltd., Mumbai, Maharashtra – System Engineer June 2017 – August 2019
Built a Chatbot using the transformer model and TensorFlow datasets. Trained chatbot model using data sets.
Worked for a US-based client company Equifax. Developed different modules of an application Equifax eMortgage using Java8, Spring Boot, iBATIS, Oracle SQL Developer. (link)
Worked on building REST APIs using Spring framework and SQL Database as well as in-memory databases like Memcached, HSQLDB, H2 for test cases.
Redesigned an application using Microservice architecture, ElasticSearch, SQL database, ES6 and AngularJS
Worked on creating AWS EC2 instances, S3 buckets to setup ELK Stack for applications.
Adopted Continuous Integration/Continuous Delivery strategy by following DevOps principles. Wrote automated test collections using Postman and supported with product releases and post implementation checkouts.
Worked on security remediation of Equifax Mortgage applications.
Conducted training programs for new recruits and knowledge sharing sessions for teammates on JAVA 8, Memcached and MongoDB
Databases: Oracle 11g, Oracle SQL Developer, MongoDB, MariaDB, In-memory Databases AWS: S3, EC2, ElasticSearch
Tools and Frameworks: Eclipse, IntelliJ, PyCharm, Visual Studio Code, Junit, Mockito, AngularJS, ReactJS, Restful APIs, Postman, Git, Bootstrap 4, Clarity Design Systems, Docker, iBATIS ACADEMIC PROJECTS
Video Summarization using Deep Learning - TensorFlow, Python, PyTorch Aug 2019 - current
Working on developing a novel method to extract significant keyframes from the video data and summarize the video based on audio-visual features.
Implementing a combination of CNN and RNN to process video data, extract frames and Spatio-temporal features along with some data mining techniques like Clustering algorithms and segmentation algorithms.
Working on processing Youtube-8M dataset for segmentation of videos. Predicting Proactive Diabetes using Machine Learning – MLP, Classification Aug 2019 - Dec 2019
Worked on pre-processing Pima Indians Diabetes database by National Institute of Diabetes. Implemented feature extraction and classification algorithms such as decision tree, random forest, SVM, logistic regression, KNN, multilayered perceptron to achieve improved accuracy.
Implemented logistic regression to build a predictive model. Representing outcome of the prediction along with the most prominent feature detection. Used Python for data visualization and implementation. Predicting Overall Rating of FIFA Players - Regression Analysis Aug 2019 - Dec 2019
Implemented Linear Regression Analysis to predict overall ratings of FIFA players. Used model transformation techniques to choose the best prediction model.
Using variable selection method to determine the most significant attribute for prediction. Automated Fire Detection and Extinguishing BOT (Research Paper) June 2016–May 2017
Built a prototype model to tackle issues like fire outbreaks and extinguishing mechanism. Prototype was based on Arduino Mega 2560 micro-controller and Embedded C programming.
It was autonomous and able to efficiently detect the source of fire outbreak using Infrared sensors.
High precision Ultrasonic sensors were used to achieve navigation successfully. Fund Distributer – PHP, Bootstrap Jan 2016
Developed an application using PHP to distribute funds available at NGO efficiently based on a survey data gathered. Used MySQL for database and transactions.
Developed a PHP based application to automate pen-paper testing system of college’s technical council.
SARRP NGO App - Spreading Awareness on Reptiles and Rehabilitation Program Feb 2019–Aug 2019
Worked on developing this application for SARRP India to automate their process of data gathering and analysis.
Spring boot, ReactJS, MariaDB are the technologies used for this. Data analysis part is under development using ReactJS libraries.
On the Spot Award for commitment towards work by Tata consultancy Services Ltd.
Best Team Award for completing Equifax three days hackathon.
TCS values Award for outstanding performance during training period and adhering to company values.
Secured a rank in top 500 in TCS CodeVita season 5 – National level coding competition held by TCS India.
Learned CUDA programming in High Performances Computing workshop held by PhD associates from IIT- Bombay and NVIDIA.
Secured 2nd place in a live coding competition BitCamp-2017 held at undergrad institute.
Vice President, Computer Society of India student Chapter. GRADUATE COURSES
Neural Networks, Foundations of Algorithms, Software Engineering for Data Science, Foundation of Data Science, Applied Data Science, Applied Statistics, Linear Regression analysis