M

Mayukh Bose

CTO

Amsterdam, North Holland, Netherlands12 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in machine learning and data science.
  • Proficient in Python and R for data analysis.
  • Led multiple successful data science projects.
Stackforce AI infers this person is a Data Science professional with expertise in Machine Learning and Computer Vision.

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Skills

Core Skills

Machine LearningData ScienceEmbedded Systems

Other Skills

Amazon AlexaAnomaly DetectionCC++Computer VisionConversational AICustomer ServiceData AnalysisDeep LearningEditingGoogle Cloud Platform (GCP)HTMLImage ProcessingJavaLabview

About

Data Science professional with a focus on machine learning. I am proficient in python and R, have worked on a wide variety of tools and platforms and have a knack for picking up new skills fairly quickly.

Experience

12 yrs 2 mos
Total Experience
6 yrs 1 mo
Average Tenure
7 yrs 7 mos
Current Experience

Quantiphi

3 roles

Technical Architect

Promoted

Nov 2020Present · 5 yrs 7 mos

Technical Lead - Machine Learning

Nov 2019Oct 2020 · 11 mos

Senior Machine Learning Engineer

Sep 2018Oct 2019 · 1 yr 1 mo

Mu sigma inc.

2 roles

Apprentice Leader

Promoted

Jan 2017Sep 2018 · 1 yr 8 mos

  • Researched algorithms to perform anomaly detection in time series data and implemented reusable utilities for use by the organization in client deliverables. Managed a team that researched and implemented a root cause analysis framework to supplement the anomaly detection modules.
  • Lead a team which developed and maintained internal data science tools created using Rshiny.
  • Lead a team responsible for the creation and maintenance of prototypes and demos for the IRD Experience lab in Mu Sigma. Oversaw and worked hands on several projects which included:
  • Optimizing an image processing pipeline to extract biometric information from human faces
  • Working on a framework to analyze human speech for underlying emotional signals
  • Implementing a conversational digital presence using the Amazon Alexa framework and an in-house real-time orchestration platform
RMachine LearningAnomaly DetectionImage ProcessingConversational AIData Science

Trainee Decision Scientist

Feb 2014Jan 2017 · 2 yrs 11 mos

  • Developed a computer vision based IOT solution for real-time monitoring of games in casinos. Developed image generation strategies for training data augmentation to create deep learning models for scene analysis of casino games.
  • Worked in a team to develop a meeting room intelligent presence to capture and synthesize minutes of the meeting. The data was captured from various sources eg. multi-channel audio, a movable camera and processed in various stages using image processing and NLP algorithms to create a dynamic HTML report synthesizing the minutes. This was sent to the meeting stakeholders who were identified.
  • Explored and developed deep learning architectures for analysis of stock market behavior. Models were deployed on in-house HFT platform for paper trading on the NYSE.
  • Worked in a team to develop a model ensembling and active learning framework for computer vision models. Explored the feasibility of various model combination strategies for the use case.
  • Worked on object detection and tracking on images obtained from the feed from a UAV
Deep LearningComputer VisionNLPImage ProcessingMachine LearningData Science

Robert bosch engineering and business solutions ltd.

Project Intern

Jan 2013Apr 2013 · 3 mos · Bengaluru, Karnataka, India

  • Worked on "Push Me" - An autonomous trolley for use in construction sites
  • Developed and experimented with sensors and methods for path following in rugged terrains
  • Developed software for the embedded control unit based around a STM32 development board
Embedded SystemsSensorsPath Following

Cesc ltd.

Intern

May 2011Jun 2011 · 1 mo · Greater Kolkata Area

Education

Vellore Institute of Technology

Bachelor of Technology (B.Tech.) — Electrical and Electronics Engineering

Jan 2009Jan 2013

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