Currently a Msc in Data Science student at HEC Montréal, I'm looking for an internship (project supervised by a professor) in the field of Machine Learning, Reinforcement Learning, or Data Science, where I could apply and practice my skills for continuous improvement.
Curriculum Vitae
Education
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🎓 Bachelor in Business Administration - Business Intelligence major
HEC Montréal | 2018 - 2022
- Bilingual cursus - Global GPA : 3.26/4.3 - Business Intelligence GPA : 3.48/4.3
- Relevant courses : BI mandate with Energir, Dashboards and data warehouses, Structured Data Analysis, Programming for Business
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🎓 Msc in Data Science
HEC Montréal | 2023 -2024 (ongoing)
F2023 :
- Machine Learning I : Supervised and unsupervised models, Deep Learning, Reinforcement learning (Python)
- Statistical Modeling : Inference, generalized linear model, survival analysis (R)
- Statistical Learning : Dimensionality reduction, Simulation, Predictive modeling (R)
W2024 : Machine Learning II, Text Mining, Complex Network Analysis, Business optimization
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Experience
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💼 Business Development internship
3DSémantix (Geometric search software startup) - 2022
- MITACS scolarship (nonprofit research organization related to industrial innovation)
- Restructuration and design of the website, traffic analysis
- Production of competitive research report
- Creation of marketing content for every products
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💼 BI Developer
Kruger Inc. (Paper manufacturing, fiber recycling, and renewable energy production) - 2023
- Development of a whole BI project : Database creation, Data cleaning and integration (ETL process), Dashboard creation, and Data anlaysis
- Production of a Python script sending alerts for missing production data reporting
- Transfer of several database from Oracle to SQL
- Utilisation of SSIS, SQL, Python and PowerBi on a daily basis
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Certification
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📃 Blockchain Specialization - 2022
- 2 courses : Blockchain Basics , Smart Contracts
- University at Buffalo, New York (Online - Coursera)
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📃 Mathematics for Machine Learning Specialization - 2023
- Imperial College, London (Online - Coursera)
- 3 Courses : Linear Algebra, Multivariate Calculus, PCA
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📃 GMAT : 660 (top 26%)
- best quant score : 48/51 (top 37%)
- best verbal score : 36/51 (top 21%)
- best IR score : 8/10 (top 10%)
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Skills
Programming : Python (Numpy, Sk-learn, PyTorch), R, SQL, SAS, SSIS
Quantitative : Machine Learning, Statistics, Probability, Optimization
Data Visualization : Tableau, Power BI
Language : Native french, Fluent English (TOEFL 104/120), Beginner Spanish
Interest : Drawing, Technology, Calisthenics
👨💼 Linkedin
👾 Github
✉️ [email protected]
📞 +33 6 52 31 85 89 / +1 (438) 388 0306
Portfolio Data
Portfolio Dessin
Podcast du moment
https://open.spotify.com/episode/3iovxZ6lFwk9kMKXtr58QI?si=5JUR-_isRxyxVzWBNMeq7A
Son du moment
https://open.spotify.com/intl-fr/track/2RMtP7XSPDysfvIOka5kOF?si=b0ad4e4e0ed44b3a
Film du moment
Livre du moment