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Definition of Reputation Credits
Juned Mohammad
I have over five years of experience as a data scientist. By incorporating data science and strategic analysis, I have assisted many businesses in improving their decisions using insights from data.
Experience
Senior Data Scientist, Strategy, Ops & Finance
Modulaire Group
2019 - present
Modulaire Group is a private-equity backed business offering turnkey solutions for modular buildings across 24 countries in Europe and Asia-Pacific. I am working alongside Modulaire Group's executives and shareholders to drive business value & transformational change across all company work streams (including pricing, lead generation, supply chain analytics, salesforce effectiveness, digital marketing, corporate finance, fleet optimisation; post-merger integration support...) using data science.
My goal? Help Modulaire Group become a data-informed organisation where analytics and data science underpins every business decision.
Supervisor: Fabien Deneuville, Head of Data Science
Data Science Instructor
General Assembly
2018 - present
Delivering advanced analytics, data science and data leadership courses and workshops to train the next generation of data science executives & practitioners in Paris.
Senior Consultant, Data Scientist,
Deloitte
2017 - 2018
• built a real-time job-skill taxonomy out of millions of job postings, with the purpose of matching job candidates with tailored job opportunities for a global leader in HR services
• scoping study of a sports information system (incl. data analytics strategy) for a football club
• predictive model of drug stock-outs (incl. data preparation and analysis) for a drug company
• predictive approach of car rental stations based on competitor and sociodemographic data (incl. data scraping & data model) for an automotive company
Software: R, Python, Alteryx, SQL Server, Tableau, Microsoft PowerBI, AWS, Docker
Supervisor: Mathieu Zeinel, Sr. Manager (now Director of AI, DataRobot)
Data Scientist, Technology Strategy,
Airbus Group
2015 - 2017
Objective: develop advanced data analytics methods to predict the evolution of aerospace technologies in Asia over the next decade in order to educate Airbus Group's Corporate Technology Office (CTO) on future technology investments.
Responsibilities:
1. Built software based on a predictive model using technical and financial data to produce recommendations as to where, when and in which technology Airbus Group's research arm should invest, and generated interactive dashboards for a number of technologies and geographies including predicted technology improvement rate, technology network, technology evolution, and technology roadmap matching.
2. Analyzed fast-growing innovation ecosystems of South-East Asia across multiple components (startups, venture capital, accelerators/incubators, government initiatives, universities, and research centers), extracted main regional technology insights from patent data using unsupervised learning and developed the first regional corporate startup engagement (CSE) roadmap aiming at leveraging those innovation ecosystems.
Supervisor: Cyrille Schwob, Head of R&T development, Asia-Pacific
Business Analyst,
Redbird (now part of Delair)
2014
Redbird has developed one of the most advanced cloud-based solution to process and analyze drone-acquired data, at scale, for the construction, mining and quarrying industries.
Responsibilities: investor reporting, international project management (with partners in India & Japan), venture capital fundraising (2M€ from Engie) including comprehensive due diligence and business plan, public tax optimization through R&D expenditures ("Young Innovative Company" label), communication tools (website content, brochures, press releases), startup contests (30k€, 2nd prize of Pulse Contest in the IoT category), internal continuous improvement tools, team management (supervision of three interns)
Supervisors: Emmanuel de Maistre, Co-founder and CEO & Emmanuel Noirhomme, Co-founder and COO
Education
MBA, Strategy & Management of International Business,
ESSEC Business School
2015
Strategic management, Financial accounting, Marketing management, International trade, Corporate finance, Competitive intelligence, Negotiation, Entrepreneurship
Master of Engineering, Systems and Microsystems for Physics,
Grenoble INP - Phelma
2014
Micro and nano-technologies, Information Technology, Data processing, Applied physics
Juned Mohammad
I have over five years of experience as a data scientist. By incorporating data science and strategic analysis, I have assisted many businesses in improving their decisions using insights from data.
Experience
Senior Data Scientist, Strategy, Ops & Finance
Modulaire Group
2019 - present
Modulaire Group is a private-equity backed business offering turnkey solutions for modular buildings across 24 countries in Europe and Asia-Pacific. I am working alongside Modulaire Group's executives and shareholders to drive business value & transformational change across all company work streams (including pricing, lead generation, supply chain analytics, salesforce effectiveness, digital marketing, corporate finance, fleet optimisation; post-merger integration support...) using data science.
My goal? Help Modulaire Group become a data-informed organisation where analytics and data science underpins every business decision.
Supervisor: Fabien Deneuville, Head of Data Science
Data Science Instructor
General Assembly
2018 - present
Delivering advanced analytics, data science and data leadership courses and workshops to train the next generation of data science executives & practitioners in Paris.
Senior Consultant, Data Scientist,
Deloitte
2017 - 2018
• built a real-time job-skill taxonomy out of millions of job postings, with the purpose of matching job candidates with tailored job opportunities for a global leader in HR services
• scoping study of a sports information system (incl. data analytics strategy) for a football club
• predictive model of drug stock-outs (incl. data preparation and analysis) for a drug company
• predictive approach of car rental stations based on competitor and sociodemographic data (incl. data scraping & data model) for an automotive company
Software: R, Python, Alteryx, SQL Server, Tableau, Microsoft PowerBI, AWS, Docker
Supervisor: Mathieu Zeinel, Sr. Manager (now Director of AI, DataRobot)
Data Scientist, Technology Strategy,
Airbus Group
2015 - 2017
Objective: develop advanced data analytics methods to predict the evolution of aerospace technologies in Asia over the next decade in order to educate Airbus Group's Corporate Technology Office (CTO) on future technology investments.
Responsibilities:
1. Built software based on a predictive model using technical and financial data to produce recommendations as to where, when and in which technology Airbus Group's research arm should invest, and generated interactive dashboards for a number of technologies and geographies including predicted technology improvement rate, technology network, technology evolution, and technology roadmap matching.
2. Analyzed fast-growing innovation ecosystems of South-East Asia across multiple components (startups, venture capital, accelerators/incubators, government initiatives, universities, and research centers), extracted main regional technology insights from patent data using unsupervised learning and developed the first regional corporate startup engagement (CSE) roadmap aiming at leveraging those innovation ecosystems.
Supervisor: Cyrille Schwob, Head of R&T development, Asia-Pacific
Business Analyst,
Redbird (now part of Delair)
2014
Redbird has developed one of the most advanced cloud-based solution to process and analyze drone-acquired data, at scale, for the construction, mining and quarrying industries.
Responsibilities: investor reporting, international project management (with partners in India & Japan), venture capital fundraising (2M€ from Engie) including comprehensive due diligence and business plan, public tax optimization through R&D expenditures ("Young Innovative Company" label), communication tools (website content, brochures, press releases), startup contests (30k€, 2nd prize of Pulse Contest in the IoT category), internal continuous improvement tools, team management (supervision of three interns)
Supervisors: Emmanuel de Maistre, Co-founder and CEO & Emmanuel Noirhomme, Co-founder and COO
Education
MBA, Strategy & Management of International Business,
ESSEC Business School
2015
Strategic management, Financial accounting, Marketing management, International trade, Corporate finance, Competitive intelligence, Negotiation, Entrepreneurship
Master of Engineering, Systems and Microsystems for Physics,
Grenoble INP - Phelma
2014
Micro and nano-technologies, Information Technology, Data processing, Applied physics