- Blog
- CV generator
- Community
- Documentation
Anubrata Bhowmick
Eindhoven, Netherlands
An accomplished Data Scientist and Strategist with expertise in Computer Vision, Deep Learning, and all things Data Structures and Algorithms. Interested in carrying out cutting-edge research in the field of Machine Learning, and AI. Currently researching on fairness in medical scoring using Machine Learning. Management Trainee at Philips, working as a Data Scientist for the Mother and Child Care Department, responsible for devising AI solutions for various products. When I'm not at work, you can find me reading novels, watching mind-boggling series on Netflix, or fine-tuning my guitar skills. Want to collaborate for research? Or have an idea? Let's talk. Find my free schedule here: https://anubratabhowmick.github.io/calendar.html
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
89.3
CodersRank Rank
Top 6%
Top 50
Jupyter Notebook
Developer
Netherlands
Top 100
Python
Developer
Netherlands
Highest experience points: 0 points,
0 activities in the last year
Jupyter Notebook
35.7
exp.
Python
21.5
exp.
SCSS
10.7
exp.
JavaScript
10.7
exp.
HTML
8.1
exp.
JSON
1.9
exp.
List your work history, including any contracts or internships
Philips
Sep 2021 - May 2022 (8 months)
Management Trainee | Data Scientist
1. Leading research and development of AI use-cases in Mother and Child Care, in collaboration with Philips Research and Personal Health Data Science and AI team.
2. Collaborate with the PH Data/AI Strategy team to develop Data/AI strategy (leveraging the common framework) for Baby Tech with clearly identified and recognized value signed-off by the Business.
3. Teaming up with Business Product Management and PH Data/AI team, to create a healthy backlog of analytics and AI uses cases.
4. Identify, define and prioritize specific data engineering/AI needs from MCC standpoint and team-up with Data Engineering team for implementation, and act as a Data Steward for MCC team.
5. Representing Mother and Child Care in the Philips AI Community of Practice, showcasing the AI prowess of MCC at Philips level.
2. Collaborate with the PH Data/AI Strategy team to develop Data/AI strategy (leveraging the common framework) for Baby Tech with clearly identified and recognized value signed-off by the Business.
3. Teaming up with Business Product Management and PH Data/AI team, to create a healthy backlog of analytics and AI uses cases.
4. Identify, define and prioritize specific data engineering/AI needs from MCC standpoint and team-up with Data Engineering team for implementation, and act as a Data Steward for MCC team.
5. Representing Mother and Child Care in the Philips AI Community of Practice, showcasing the AI prowess of MCC at Philips level.