Oyshee Saha Roy

Roku Developer at Clearbridge Mobile

Biography

I am currently working as a Roku Developer at Clearbridge Mobile, Vaughan Ontario. User Experience Researcher and Analyst with experience in conducting user studies, data analysis and designing different interactive interfaces. Senior System Engineer with 3.5 years of experience in working as a Java and Mendix Developer using Agile methodology. Involved inbusiness requirement gathering, identifying gaps, effort estimations and implementing solutions with adherence to best practices and development guidelines.

Interests

Human Computer Interaction
User Experience
Data Analysis

Education

MCS, 2019
Dalhousie Unviersity
BTech in Computer Science, 2014
West Bengal University of Technology

Experience

Roku Developer

Clearbridge Mobile

Jan 2020 – Present Vaughan,Canada

Student Analyst

Dalhousie Analytics, Dalhousie University

Feb 2017 – Aug 2019 Halifax,Canada

Responsibilities include:

Participated in requirements meetings and data mapping sessions to understand business needs
Designed and developed schema data models
Fetched JSON data from RESTful APIs. The fetched data were cleaned and stored in tables in PostgreSQL
The collected data was further processed using Fuzzy matching
Helped solve diverse program problems with in-depth analysis
Analyzed data were visualized using matplotlib, plotly, and Dash apps
Updated organizational subsystems to improve and streamline data collection

Senior Systems Engineer

Infosys Limited

Aug 2014 – Dec 2017 Trivandrum,India

Roku

Development of front-end scripts for Roku boxes.
Participated in all phases of system development life cycle, from requirements analysis through system implementation
Involved in sprint planning, stand-ups in an Agile environment
Designing and development of Electronic programming guides
Development of Video on Demand screen, video playing features, notification and warning messages, and other features of live as well as video on demand streaming services
Involved in development, dev testing, quality assurance of Roku application

TNT

Development and maintenance of Mendix application solutions including forms, entities, microflows, transactions, and domain models
Performed Unit Testing as per project and client-based guidelines
Participated in all phases of system development life cycle, from requirements analysis through system implementation
Involved in maintaining databases of transactions, employee history, delivery status and goods details
Development of features of applications, directly interacting with clients and providing solutions.

Loreal

Development and maintenance of POS application
Experience in handling loyalty-based program

Recent Projects

Framework to Guide Designing of Interactive Tools for Art Galleries (Master Thesis)

The thesis proposes a framework which will help in designing and building of interactive tools for art galleries. The research started with the background analysis of all the factors that influence the planning of an exhibit/show at an art gallery. One to-one interviews were conducted with the art curators from different art galleries in Nova Scotia, Canada. The Maud Lewis exhibit (present at Art Gallery of Nova Scotia, Halifax) has been used to test the framework. Read more….

Promoting Acceptance and Commitment Therapy (ACT) through mobile application

The research aims to promote Acceptance and Commitment therapy (ACT) among college and university students through a mobile application. A study was conducted in three phases: Online Survey, Unstructured Interview, and heuristic evaluation and user evaluation. The final results showed a positive inclination towards the proposed application. Read more….

Heart Disease Prediction Using Data Mining Techniques

Heart disease is increasing day by day in today’s world due to lifestyle, heredity. In this project, decision tree classifiers as well as a probability based classifier. The algorithms that we will be using are Naïve Bayes classifier, J48 algorithm and Random forest classifier. We will be using an existing patient dataset of Cleveland from UCI repository to test and analyze the algorithms. Experiments result have been found to reach an accuracy up to 59%. Read more….