Developer Manager

Akshaya Nagarajan Mobile: 415-***-****

Seeking Software Engineering Internship/Co-op San Jose, California Email: *******.*.*********@*****.*** LinkedIn: https://www.linkedin.com/in/nagarajanakshaya/ GitHub: https://github.com/akshaya-nagarajan/ Medium: https://medium.com/@akshayaNagarajan EDUCATION:

MS, Software Engineering, Specialization in Data science Aug 2019 - Present San Jose State University, California GPA: 3.666/4 Courses: Deep Learning, Machine Learning, Data mining, Large scale Analytics, Enterprise Software Platforms, Design patterns. Bachelor of Technology, Information Technology July 2010 - May 2014 SASTRA University, Thanjavur, India CGPA: 8.27/10

Courses: Data structures, Software Engineering, Design and Analysis of Algorithms. SKILLS:

Programming Languages: JAVA, Python.

Technology/Library: TensorFlow, Keras, PyTorch, Nginx, SQL, Postgres, MongoDB, AWS, GCP, Ansible, Docker, REST API, Git, BeautifulSoup (Web Scraping).

Web Technology/Frameworks: JavaScript, ES6, AngularJS, Angular, RxJS, React, Flask, Django, NodeJS, Express, HTML5, TypeScript, CSS, SCSS/SASS, Bootstrap.

Test Frameworks: Junit, Jasmine, Karma, PyTest.

EXPERIENCE:

Tata Consultancy Services, Chennai, India Aug 2014 – Aug 2019 (5+ years) IT Analyst

- Developed highly responsive, interactive, mobile-first web pages with Unified Touch Experience in Desktop, Mobile, TV Screens, Tablets for Canada’s leading telecom providers Fido.ca and Rogers.com. Doubled the performance by creating a faster response system by handling requests asynchronously and caching JSON responses from server.

- Overhauled more than 100 legacy web pages with old UX(JSP/Servlets) to completely responsive web pages using Angular and Java, improving the site’s performance and usability significantly.

- Implemented analytics system to improve client business/profit by 60% by tracking the number of consumers/dealers, E- Commerce products searched and purchased, site interactive events and errors using Adobe Analytics-Dynamic Tag Manager. PROJECTS:

- Time Series Forecasting for Air Quality Index: Forecasted Air Quality Index and weather data for the future, using ARIMA

(Autoregressive integrated moving average), VAR (Vector Auto Regression) models and LSTM model.

- Yoga-Pose Detection: Identified various poses using CNN and Transfer learning models - VGG16 and InceptionV3 on pre- processed yoga pose images in Keras and TensorFlow. Deployed the trained model on Flask Application.

- Fake News Classification: Multiclass Classification on News articles to identify News as Fake, True, Barely-True, Half- True, Mostly-True, Pants-Fire based on the Page rank, Outlink nodes and edges from a web page, sentiment analysis score for polarity and subjectivity, topic score by Topic Modelling using Latent Dirichlet Allocation and speaker rank using Bidirectional Encoder Representation from Transformers (BERT), XGBoost, Multinomial Naïve Bayes, Random Forest and Decision Tree classifiers.

- NER: Implemented Named Entity Recognition scheme to identify entities in sentences and classify them into one of four categories viz., person (PER), location (LOC), organization (ORG) and date (DATE) using Bidirectional LSTM model.

- Taxi-Pool: Large Scale Analytics on Taxi Rides to find the number of rides that can be aggregated. Extracted the rides that can be pooled in real-time from New York taxi rides. Implemented using KDD, SQL joins and Spark Window functions.

- ZipCar App: Developed a car rental application by implementing Abstract factory, Decorator, Singleton, Template, Builder design patterns using Flask framework and Postgres Database. CERTIFICATES & AWARDS:

- Dean’s list scholarship holder (Top 3%-10%) for Semesters 3, 4, 5, 6.

- Oracle certified Java SE6 programmer, Java Web services developer, Angular developer. VISA: F-1

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