Experience

Giotto.ai

• Switzerland
• Software Development
• 1 - 100 Employee

• Data Scientist

  • Sep 2020 - Present

  Working on Giotto Compliance: an AI-based platform used by medical device companies across Europe and USA to speed up the clinical evaluation process used for getting their devices regulated • Technology owner of one of the two AI-dependent features on the platform • Reduced the document screening time by more than 50% using ML and NLP techniques • Used continuous integration and deployment process and always stayed ahead of the AI / ML performance targets set by the… Show more Working on Giotto Compliance: an AI-based platform used by medical device companies across Europe and USA to speed up the clinical evaluation process used for getting their devices regulated • Technology owner of one of the two AI-dependent features on the platform • Reduced the document screening time by more than 50% using ML and NLP techniques • Used continuous integration and deployment process and always stayed ahead of the AI / ML performance targets set by the management team • Using Python, Git workflow, and Agile methodologies in the development process Worked on human brain parcellation using topological data analysis for CHUV (Lausanne University Hospital). Show less Working on Giotto Compliance: an AI-based platform used by medical device companies across Europe and USA to speed up the clinical evaluation process used for getting their devices regulated • Technology owner of one of the two AI-dependent features on the platform • Reduced the document screening time by more than 50% using ML and NLP techniques • Used continuous integration and deployment process and always stayed ahead of the AI / ML performance targets set by the… Show more Working on Giotto Compliance: an AI-based platform used by medical device companies across Europe and USA to speed up the clinical evaluation process used for getting their devices regulated • Technology owner of one of the two AI-dependent features on the platform • Reduced the document screening time by more than 50% using ML and NLP techniques • Used continuous integration and deployment process and always stayed ahead of the AI / ML performance targets set by the management team • Using Python, Git workflow, and Agile methodologies in the development process Worked on human brain parcellation using topological data analysis for CHUV (Lausanne University Hospital). Show less



Self-employed

• France

• Data Scientist

  • May 2020 - Present

  Working on Data Science projects involving but not limited to algorithm development, deep learning, natural language processing, time series analysis, and topological data analysis. Open to new opportunities in the field of Data Science. Working on Data Science projects involving but not limited to algorithm development, deep learning, natural language processing, time series analysis, and topological data analysis. Open to new opportunities in the field of Data Science.



Facedapter (SWG 22)

• Switzerland
• IT Services and IT Consulting
• 1 - 100 Employee

• Data Scientist

  • Sep 2020 - Jul 2021

  Working on face recognition and identity verification technologies such as, Face Liveness Detection (Active Liveness and Passive Liveness) Matching faces from a live video stream to the photo on an ID card for identity verification Using several data science algorithms such as Convolutional Neural Networks for face recognition Developing an identity verification pipeline in collaboration with the development team Creating a data collection and preparation strategy for building… Show more Working on face recognition and identity verification technologies such as, Face Liveness Detection (Active Liveness and Passive Liveness) Matching faces from a live video stream to the photo on an ID card for identity verification Using several data science algorithms such as Convolutional Neural Networks for face recognition Developing an identity verification pipeline in collaboration with the development team Creating a data collection and preparation strategy for building machine learning models Show less Working on face recognition and identity verification technologies such as, Face Liveness Detection (Active Liveness and Passive Liveness) Matching faces from a live video stream to the photo on an ID card for identity verification Using several data science algorithms such as Convolutional Neural Networks for face recognition Developing an identity verification pipeline in collaboration with the development team Creating a data collection and preparation strategy for building… Show more Working on face recognition and identity verification technologies such as, Face Liveness Detection (Active Liveness and Passive Liveness) Matching faces from a live video stream to the photo on an ID card for identity verification Using several data science algorithms such as Convolutional Neural Networks for face recognition Developing an identity verification pipeline in collaboration with the development team Creating a data collection and preparation strategy for building machine learning models Show less



Airboxlab SA

• France
• IT Services and IT Consulting

• Data Scientist

  • Jul 2019 - Dec 2019

  • Worked on reducing energy consumption of a building using AI which outperformed the model developed by the US National Renewable Energy Laboratory • Worked on stabilizing machine learning model for HVAC control • Worked on improving an internal statistics and visualization tool • Worked on event classification by clustering using sensors data • Used Python & its packages, Git for versioning, Agile Methodologies for task completion and AWS to deploy the models • Worked on reducing energy consumption of a building using AI which outperformed the model developed by the US National Renewable Energy Laboratory • Worked on stabilizing machine learning model for HVAC control • Worked on improving an internal statistics and visualization tool • Worked on event classification by clustering using sensors data • Used Python & its packages, Git for versioning, Agile Methodologies for task completion and AWS to deploy the models



BOMBARDIER

• Canada
• Aviation and Aerospace Component Manufacturing
• 700 & Above Employee

• Automation Developer

  • May 2017 - Jul 2017

  Developed software for automating data input to Altair Hyperworks Simulation Tool and for correlating the simulation data with the data from the test center using Python and Tcl script which reduced a structure testing time from several hours to seconds. Developed software for automating data input to Altair Hyperworks Simulation Tool and for correlating the simulation data with the data from the test center using Python and Tcl script which reduced a structure testing time from several hours to seconds.



Mahindra University

• India
• Higher Education
• 200 - 300 Employee

• Data Scientist

  • Feb 2016 - Aug 2016

  Worked on Support Vector Machines for nonlinear classification and regression.

• Data Scientist

  • Aug 2015 - Feb 2016

  Worked on a part of the Smart Grids Live Project for the Canadian State of Ontario in collaboration with Tech Mahindra and Mahindra École Centrale where I developed a method using Artificial Neural Networks for forecasting loads on a local grid at hourly basis up to one week in advance.



ITC Limited

• India
• Manufacturing
• 700 & Above Employee

• Operations Intern

  • Jul 2016 - Jul 2016

  Performed man-motion study and optimized workload distribution, lag in task execution & non-value adding activities to deliver higher manpower / MT productivity. Reduced the Bottleneck of the Plant by optimizing the packing process by collecting and analyzing data. Performed man-motion study and optimized workload distribution, lag in task execution & non-value adding activities to deliver higher manpower / MT productivity. Reduced the Bottleneck of the Plant by optimizing the packing process by collecting and analyzing data.