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Data Scientist, Strategist & Data Analyst

I am an experienced Data Scientist, Strategist, and Data Analyst with a solid background in back-end software development spanning over 7 years. Proficient in Python with a decade of experience, and adept at leveraging KDB/Q for data analysis. Specializing in the banking and trading sectors, with a keen understanding of industry dynamics. Possessing a strong global perspective in software development, coupled with a curiosity for learning new paradigms. Skilled in sorting, analyzing, and summarizing data to derive actionable insights.

+ 7 years professional experience
since 2016
+ 10 years
in Computer Science
Python
strong knowledge since 2012
KDB+ & Q
for Data Science and finance

Detailed work experience & career

  1. Data Scientist, Strategist & Data Analyst @ Morgan StanleyCurrent position

    • Develop and maintain tools and applications for data manipulation, visualization, and reporting
    • Manage dashboard creation and maintenance for trading desks, providing key insights and performance metrics to facilitate informed decision-making
    • Collaborate with cross-functional teams to gather requirements, design data-driven solutions, and implement scalable data pipelines
    • Utilize KDB/Q for real-time data processing, querying, and analysis to support high-frequency trading strategies
    • Conduct comprehensive data audits and quality assessments to ensure data integrity and reliability
    • Generate actionable insights through exploratory data analysis and develop data-driven recommendations to optimize business processes and mitigate risks

  2. Senior Java Developer & Lead Tech @ Desjardins

    • Leadtech in the modernization team of Desjardins
    • Deployment on Microsoft Azure
    • Java/Spring API for Oracle security
    • Deployment on Weblogic
    • Participate to modernize the architecture
    • Update / maintain an app to process files with Java/Spring
    • CI/CD on BitBucket / GitHub and Concourse
    • Testing with JUnit, Cucumber, Gherkin and Sonar
    • Project management with Jira and Confluence for documentation
    • Agile environment

  3. Senior Fullstack Developer @ National Bank of Canada

    • Maintain apps with NodeJS
    • Deployment with Ansible and Terraform
    • Tests with Axios, Mocha and Sonar
    • App monitoring with Splunk and DataDog
    • Update of Dockerfiles
    • Installation and OpenText Exstream for document generation
    • Deployment scripts update with VI on Linux servers
    • CI/CD on BitBucket, Jenkins, Terraform on OpenShift
    • Agile environment

  4. Fullstack Developer @ McGill University

    • Maintain a RabbitMQ app with Java and JUnit
    • Add a security layer on API Connect
    • Create an algorithm and an app to confront JSON files with Jquery
    • Deploy on OpenShift and GitLab

  5. Fullstack Developer @ BNP Paribas

    • Maintain a customer account consultation app on agile/scrum process
    • Develop a Java, Spring app
    • Create producers and consumers Kafka with Avro schema
    • Upgrade Cassandra data models
    • Testing with JUnit and Cucumber
    • Testing load on servers with Gatling
    • Help two Java junior developer

  6. Fullstack Developer @ SFR (French Phone Operator)

    • Migrate ERP (Enterprise Resource Planning)
    • Migrate Oracle servers
    • Maintain an app of professional accounts management
    • Upgrade a Java app (upgrade Java version from Java 6 to Java 8)

  7. Developer @ Altitude Infrastructure

    • Application manager for phone operators
    • Maintain a C# app
    • Development of a new C# app with .NET
    • Create a Front-end app to visualize KPI with C# and Bootstrap
    • Installation of a new ERP (Enterprise Resource Planning) with transcoding tables
    • Migrate ERP from Adonix to SageX3
    • User testing

  8. Developer @ Saagie

    • Logging app to track customers journey on the website with Java, Hadoop, Cloudera and Hive
    • Logging javascript library with JQuery
    • UX/UI improvement
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