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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.
After studies in corporate finance and experiences as Business Analyst (Lagardere Travel Retail), Controller / Consolidation (Chanel) and Internal Audit (Airbus), Project Manager on Information Systems within Canal+, today I am Data Analyst within Getaround. I work on Finance, Risk, Insurance & Fraud topics In parallel, I validated UE of a Master's degree in Mathematics and Statistics / Data Science in CNAM Paris (started in September 2019) and I am now working on my degree's dissertation. I am looking for a remote job as Data Analyst and I am interesting to also work on Data Engineering & Data Science topics !
Motivated, teamwork oriented with significant experience in understanding data and its presentation and improving business intelligence information systems. With an academic background focused on IT, statistics and data analysis.
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