Data Scientist

Spotify

1. Creating various image processing, regression, segmentation & classification projects on image data.
2. Using Pillow, PyTorch, Tensorflow and Transfer Learning models to build up projects.
3. Predicting realty prices (known as Automated Valuation Model) using Machine Learning.
4. Actively using AWS, Kafka, RabbitMQ, Spark, Hadoop and Docker.
5. Perform peer's code review to avoid any code quality issues
6. Provide sprint demo to client and stake holders
7. Always actively participate in ceremonies like Sprint Planning meeting, Daily Scrum, Sprint Review meeting and Sprint Retrospective meeting

Senior Backend Engineer

Aiva Labs

1. Developing backend applications using NodeJs, Nestjs, and Django asserver side languages, followed by MySQL or PostgreSQL as databases

Software Engineer

Techdojo

1. Developing web and mobile applications using ReactJS, React Native as frontend, followed by Nodejs as a server side language and MongoDB as a database

Data Analyst / Data Engineer

BDAnts

1. Store, retrieve, and manipulate data for analysis of system capabilities and requirements using Python, Selenium, SQL and C#/.NET.
2. Confer with data processing or project managers to obtain information on limitations or capabilities for data processing projects.
3. Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.
4. Consult with engineering staff to evaluate interface between hardware and software, develop specifications and performance requirements, or resolve customer problems.

Independent University Bangladesh

Computer Science