Language: FR 100%, EN 100%

Alexandre LEGENDRE

Data Scientist & Cognitician

€770 Per day
This scale measures the level of project complexity that can manage our consultant.

Through the study of cognitive psychology and human factors, I work on the usabilty of complex systems. As a cognitician researchers I specialized in the analysis of large corpuses of interaction data.

Achievement:

  • Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships, strengthen longevity and personalize interactions with customers.
  • Clinical reasoning processes: unravelling complexity through graphical representation.
  • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.

Download Resume

Availability: Available in 255 days

Position: Lead, Architect, Researcher

Highly organized and efficient data scientist with an in-depth knowledge of research and statistical knowledge. Innovative and capable of developing new solutions and interpretations. Strong communication skills and able to teach new methods to those who are willing to learn.

KNOWLEDGE BASE:
Algorithms, Algorithmic, Analytics, AppEngine, AWS, Big Data, C++, Constructing Predictive Models, Conveying Technical Information to Non-Technical People, CouchDB, Creating Controls to Assure Accuracy of Data, Creativity, Critical Thinking, Data Analysis, Data Analytics, Data Mining, D3.js, Decision Trees, Google Visualization API, Hadoop, HBase, Java, Logical Thinking, Machine Learning, Mathematics, Matlab, Mining Social Media Data, Multivariable Calculus, Perl, Project Management, Programming, Python, R, Raphael.js, Research, SAS, Statistical Modeling, Scientific papers writing.

TECHNOLOGY STACK:
Java, PHP, C/C++, C#, Scala, Python, JavaScript, Go, ElasticSearch, Lucene, Hadoop, AWS machine learning, TensorFlow.

2010 to 2012 Election Data Services

Project Term: 2010 to 2012

Industry: Business Intelligence

Role: Data Architect/Big Data Engineer

Helped this pollster gain credibility and garner a reputation for reliable predictions by creating a Big Data framework and deploying tools to capture, transform, analyze and store terabytes of structured and unstructured data.

Highlights:
Installed and configured Apache Hadoop, Hive and Pig environment on the prototype server.
Configured SQL database to store Hive metadata.
Loaded unstructured data into Hadoop File System (HDFS).
Created ETL jobs to load Twitter JSON data and server data into MongoDB and transported MongoDB into the Data Warehouse.
Created reports and dashboards using structured and unstructured data.

University of Rhode Island (Kingston, RI)

Project Term: since 10/2013

Industry: Insight Developments (Enfield, CT)

Role: Data Scientist

Acquire and analyze business data. Create statistical models based on researched information in order to provide conclusions that will guide the company and the industry into the future. Coordinate with team members to create impactful analyses and forward-thinking strategies. Communicate with executives and managerial staff regarding data findings and potential new technologies.

Highlights:
Conducted experimental modeling using computation programs and eye-tracking research. Coordinated a team of five other scientists and research assistants. Performed regular research and gathered new statistical evidence at every opportunity. Communicated with deans and departmental heads regarding findings.

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+20 Years working with multicultral and international teams making
the most advanced projects in AI field solve real life problems.
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