Student at Dalhousie University looking for opportunities for Fall2020

Anish Tuli

GitHub LinkedIn

*****.****@***.** ***-1333 South Park St

Mobile: 902-***-**** Halifax, NS B3J 2K9

EDUCATION

Master of Applied Computer Science (Sept 2019 - Graduating in Dec 2020) Dalhousie University, Halifax, NS

Relevant Courses: Data Management, Warehousing and Analytics; Cloud Computing; Communication Skills; Adv Topics in Web Development; Technology Innovation; Software Comprehension; Advanced Topics in Network Security

Bachelor of Technology (Computer Science) (July 2014 - May 2018) SRM University, New Delhi, India

SKILLS

Technical Skills

Programming: C/C++, Java, PHP, Python, JavaScript, HTML, CSS, Git

Data: NumPy, Pandas, Sci-Kit, Machine Learning, Advanced MS Excel, Tableau, PowerBI

Web Frameworks: Bootstrap, Flask, ExpressJS, React, Angular, NodeJS

Databases: SQL, H2, MongoDB, PostgresSQL, Neo4J

Cloud Services: AWS (Autoscaling, Load balancing, hands-on services, deployment), CI/CD, Docker, Kubernetes, Ansible, Chef, RabbitMQ

Interpersonal Skills

Team player, active learner and adaptable to changes

Good communication and presentations skill, client exposure

Extensive experience in technical writing, analytics and development EXPERIENCE

Software Engineer – Development (June 2018 – July 2019) Temenos Group, Bangalore, India

Involved with Temenos Core Banking platform - T24 used by over 600 financial institutions

Creation of REST API's for exposing bank functionality to the outside world

Creation and review of technical design documents and API documentation using Swagger

Involved in cross-team enhancement projects for architecting new features for Tier-1 Banks

Analysis of Regression Errors and Code Impact

Peer Review of Code and Test Driven Development

Intern Software Engineer (Dec 2017 - May 2018)

Temenos Group, Chennai, India

Core Banking Principles, Applications and Frameworks

Lending, Deposits and Account module-based model training's

Identification of client bugs and worked on fixes

Unit and Integrity Testing of code

Participated in walkthrough reviews of technical specifications, programs, code, and unit test plans Teaching Assistant/Marker (May 2020 – Present)

Dalhousie University, Halifax, NS

Assisting professor with online classes, running online labs, holding office hours for 2nd/3rd/4th year course - Fundamentals of Digital Transformation

Working with students on projects to enable post-pandemic workplaces Full Stack Developer Intern (June 2016 - July 2016) Redlemon Digital, Delhi, India

Involved with web technologies to build scalable applications

Worked on a diverse tech stack ranging from PHP to NodeJS with an MVC based API first approach

Liaised within teams including product managers and sales reps to build cross-browser experience. Explored ideas and functionalities with the founders

PROJECTS

Afford.ly Web Application using MERN Stack (May 2020 - Present)

Afford.ly is an online web platform for classification of local reselling advertisements. It offers you to create ads for all categories like furniture, cars, electronics.

We aim to bring together a portal that encourages reusing of resources, turning old waste into gold Built using React, Express, Node, MongoDB stack and deployed using AWS using EC2, S3 among services Topdeck Travels Web & Mobile Application for a Canadian Travel Project (Feb - Apr 2020)

Topdeck Travels is a comprehensive web portal that works on web and android mobile client built on NodeJS and Android

Integrated with AWS and Docker for a fully scalable API first solution with Load Balancing and Auto Scaling

CI/CD setup with GitLab, Docker and AWS using ECR, ECS

Learned and explored microservice architecture and Agile development Express Store Android Application for Self-checkout (Oct - Dec 2019)

Express Store helps avoid long queues while checking out at retail stores built for Android using Java

Allows users to directly scan items from their mobile devices

Accessibility to pay online and walk right out of the door without ever having to deal with anyone Credit Card Fraud Detection System Data Science Capstone project (Jan - May 2018)

Fraud Detection System is capable of detecting fraudulent or suspicious-looking credit card transactions in near real-time

Classifies transactions into suspicious or non-suspicious depending upon both the features of the transaction and by the card user’s past purchasing behaviour and history

Built using Apache MxNet with the help of Numpy, pandas CERTIFICATIONS

1. Web Developer Bootcamp by Colt Steele at Udemy

2. Python for Data Science by Kirill Eremenko at Udemy ACHIEVEMENTS & EXTRA CURRICULAR

Banking and Insurance Hackathon: 1st Runner-up 31st Jan - 2nd Feb 2020 TD Insurance and CGI

o Built a prototype for tracking perishable drugs and identifying liable party in case of insurance claims with the help of an IoT device

Google Android Nanodegree Scholarship Aug 2010 - Jan 2013 Tony Blair Faith Foundation: Student Volunteer Aug 2010 - Jan 2013

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