Ibra

Expériences d’enseignement

Langues maîtrisées

Motivations

Domaines d’expertise

Mots clés

Diplômes

Logiciels et langages informatiques

IT Skills: Software Engineering > Python, .NET, C#, WPF, XAML, PRISM, WinForms, xUnit, NUnit, ASP.NET Core, Unity, .Net Core, WCF, Java, Java EE, Jakarta EE, Kotlin, C++, R, VBA, SOLID, Design Patterns, TDD, AWS, Boto3, AWS SDK, Lambda, Azure, GCP, BigQuery, PEP 8, Pylint, Mypy, Flake8, Pydantic, SQLAlchemy, Django, Flask, FastAPI, RabbitMQ, Celery, Redis, Multithreading, Microservices, DevOps, IAC, Terraform, Kubernetes, Docker, A/B Test, Feature flag, LaunchDarkly, Component Based Programming, Aspect Oriented Programming, Inversion of Control, Dependency Injection, Spring, Spring Boot, JPA, Hibernate, Micronaut, Low Latency, JSON, REST API, XML, SOAP, CORBA, gRPC, IDL, Versioning, CI/CD, Camunda, Node.js, JavaScript, React Tools, SaaS, PaaS > Jenkins, Pycharm, Visual Studio, VsCode, Bitbucket, Git, Gitlab, Github Copilot, Power Platform, Power Apps, Power Automate, Dataverse, Canvas Data Engineering > Snowflake, Snowpark, Databricks, Delta Lake, Apache Iceberg, Polars, DuckDB, Weaviate, Qdrant, pgvector, Amazon Redshift, DBT, PostgreSQL, Microsoft SQL Server, SSIS, NoSQL, MongoDB, DynamoDB, SQLite, SQL, MySQL, Oracle, DB2, PL/SQL, Data lake, Data warehouse OS > Unix/Linux, Windows, MAC OS Project management > Agile Methodology, Scrum master, Kanban, Craftsmanship, Jira, Miro AI, ML and Data Science Skills: Supervised Learning > Linear/Polynomial/Logistic Regression, Classification Unsupervised Learning > Clustering, Isolation Forest, Natural Language Processing, LLM AI, ML > Scikit Learn, TensorFlow, Keras, PyTorch, Seaborn, Matplotlib, LangChain, RAG, Prompt Engineering, Agentic AI, OpenAI, GenAI, NLTK, MLFlow, MLOps, Data annotation, Scale AI, Labelbox, Vertex AI, AWS SageMaker, Deep Learning, Neural Networks Data science > Jupyter notebook, Conda, Pandas, Data aggregation, Interpolation, Time series, X-12, X-13-ARIMA-SEATS, Downsampling, Upsampling, Scipy, Numpy, A/B Test, Bayesian Statistical Methods, Tableau, Power BI, Big data, Kafka, Hadoop, PySpark, Map reduce Finance Skills: Quantitative Finance > Stochastic calculus, Yield curve modeling, QuantLib, Thomson Reuters Pricing library Pricing models > Monte Carlo Method, Vasicek, Merton, Binomial, Ju method, Levy Method, Cai Li Shi Method, Black Scholes, Bachelier, SABR, Heston, Dupire Econometrics > Time series: ARIMA, X-12, X-13-ARIMA-SEATS, GARCH models, FAME Dynamic Optimisation > Scipy, Scilab, Excel Solver, MATLAB Financial Toolbox Risk Modelling > FRTB-SA, CVA, XVA, Expected Exposure, Potential Future Exposure, LGD, VaR, Collateral modeling, Asset Liability Management, Bootstrap Derivatives > Vanilla Options, Exotic Options, Interest Rate Derivatives, Credit Derivatives Asset Management > Structured products, ETF, Capital Asset Pricing Model, Markowitz Trading platforms > Thomson Reuters RFA API, MetaTrader API, MetaTrader 4 and 5, QuickFIX, Cryptocurrencies Exchange API: Kraken, BitStamp