Nathan A.

DATA SCIENTIST

440 dollar

Mon expérience

QuantumOne ConsultingSeptember 2020 - Présent

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MicropoleFebruary 2020 - July 2020

Fraud detection & Risk optimization / scoring. Implementation on customer projects and on high volumes by integrating the latest innovations.
- Development of a scoring platform (Python)
- Implementation of different Machine Learning algorithms
- Integration of rectification techniques for unbalanced data
- Comparison / evaluation of the added value of these methods.
- Creation of an interface for the scoring platform (Flask, Streamlit)
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BrightcoveApril 2019 - August 2019

Specialized in understanding and responding to customers’ needs and concerns, providing appropriate technical solutions and alternatives within the time limits, and multi-tasking, prioritizing. Capable of daily proficient use of CRM systems (Salesforce). Customer oriented and successfully able to, with taking the extra mile in order to adapt/respond to different situations, provide information about products and services, determine charges, and oversee billing or payments, capable of reviewing/making changes to customer accounts, recording details of customer contacts and actions taken, referring customers to supervisors, managers, or others members of the team. Work with web technologies such as HTML5, CSS3, JavaScript and video formats technologies like HLS and MP4. Positively working with the management team to stay updated on product knowledge and be informed of any changes in company policies, through actively taking part to weekly meetings with other teams worldwide.

+ Provide escalated technical and triage support for other team members
+ Weekly statistics reports on the different support’s department tiers
+ Implementation of Machine Learning algorithm to predict the CSAT survey score and response rate
+ Work directly with customers remotely and to respond to technical issues through Salesforce
+ Work closely with Tier 1 and Tier 2 to increase customer satisfaction by providing assistance for product enhancements
+ Provide technical training to new Technical Support intern
+ Create and update internal and public technical documentation
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DevoteamSeptember 2018 - March 2019

Implementation of a Big Data Lambda architecture in the Cloud.

A functional lambda architecture accessible via Microsoft Azure that is able to recover Twitter data in
real time.

PaaS, MongoDB, Cloud Computing, Python, Spark, Tweepy API.
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StudizenJuly 2016 - September 2016

In charge of daily analysis of usage statistics, iOS, Android, Desktop & Web App. Data crossover, KpI's tracking & extrapolation.
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ELEVEN PARISJuly 2014 - September 2016

Seasonal - Maintaining the back office of the web app and shipping orders to customers.

Mes compétences

XML, SQL, Salesforce, R Language, Python, Project Management, Problem Solving, PHP, NoSQL, Node.js, MySQL, MongoDB, Microsoft Office Pack, Microsoft Azure, Machine Learning, JavaScript, HTML5, HTML, ElasticSearch, Data Science, CSS3, CSS, Cloud Computing, Cassandra, C/C++, C#, Big Data, Artificial Intelligence, .NET Languages