Geri Leka

About

As skilled data scientist with a diverse background in data analysis, machine learning, I have a strong track record of delivering successful projects and driving results. I hold a Master's degree in Data Science and a Bachelor's degree in Applied Economics with two years of Applied Mathematics, and have completed relevant courses in machine learning, quantitative finance and statistics. Throughout my career, I have applied my skills and knowledge to a range of projects in various fields, including financial markets, marketing, and NLP. I have experience using machine learning models to extract insights from data, and am proficient in programming languages such as Spark, Python, R, SQL. I have also worked with various libraries and tools to analyze and interpret data, and have a strong understanding of data mining and scraping techniques. Interested to jump into new adventures with Scala, Julia, Java etc. I am a proactive and detail-oriented individual, with excellent problem-solving skills and the ability to work effectively in fast-paced environments. I am always seeking new challenges and opportunities to apply my skills and knowledge, and am committed to staying up-to-date with the latest developments in the field. With my strong technical skills and ability to communicate effectively with both technical and non-technical audiences, I am confident in my ability to make a valuable contribution to any organization.

Experience

• Data Scientist · BNP Paribas CIB01-01-2024

  @GrowthSolutions we provide data-driven debt capital solutions to leading innovative companies.

• Data Scientist at CIB Growth Solutions · BNP Paribas06-01-2023 – 12-01-2023

  Worked as a Data Scientist at CIB Growth Solutions, likely contributing to data-driven solutions and analytics.

• Data Scientist at BNP Paribas Personal Finance · BNP Paribas11-01-2022 – 05-01-2023

  Developed and implemented data-driven strategies for retail banking product recommendations using machine learning techniques, resulting in improved consumer targeting across multiple countries. Assumed the role of a developer, continuously enhancing the performance of the package by refactoring and rewriting the code, addressing bugs and maintaining the packages codebase to improve its efficiency and effectiveness, in addition to providing technical support to the team.

• Data Scientist NLP at BNP Paribas Cardif · BNP Paribas05-01-2022 – 10-01-2022

  Contributed to the development of comprehensive NLP toolkit by providing feedback and suggestions on the development of advanced NLP Pipelines for data scientists, which resulted in a simplified process for storing, labeling, detecting and tagging specific events. Acted as a key user and beta tester, providing valuable feedback to improve the library and successfully promoted its usage within the company among data scientists.

• Data Scientist Fixed Income at BNP Paribas Asset Management · BNP Paribas11-01-2021 – 04-01-2022

  Developed and implemented a tactical asset allocation framework using quantitative and machine learning techniques including regime detection, asset price prediction and achieved unbiased quantitative decision-making for asset managers. Maintained and refactored existing projects, created risk management tools, and mentored interns on coding and data science finance best practices to support the overall investment process.

Education

• University of Paris I: Panthéon-SorbonneMaster 2, Data Science - Modélisations statistiques économiques et financières (MoSEF)
• University of Paris I: Panthéon-SorbonneMaster 1, MBFA - Monnaie, Banque, Finance et Assurance
• Université Paris-SaclayBachelor, Applied Economics
• Université Paris-SaclayDEUG, Applied Mathematics

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