Yash Sethi

Data Scientist at L'oréal

Based in Montreal, Canada

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Seniority

Staff

Department

Information Technology

Location

Montreal

Industry

Personal Care Product Manufacturing

Company size

92K

Contact information

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Email

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y•••••••@loreal.com

Phone

5 credits

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Background

About Yash Sethi

I’m Yash Sethi — a data science practitioner with a foundation in mathematics, a mind wired for problem-solving, and a genuine passion for uncovering insight in complexity. My journey into data didn’t start with a course or a bootcamp — it began with equations, theorems, and a quiet curiosity cultivated during my Bachelors and Masters in Mathematics, with a minor in Statistics. Through those years, I learned how to think structurally, reason rigorously, and code with purpose — skills that later became the bedrock of my career in data science. I took my first steps into the field at HSBC, where I worked across two distinctly different domains: marketing analytics and fraud mitigation. These experiences didn’t just give me technical depth — they offered perspective. I learned how data can drive campaigns one day and protect customers from fraud the next. I became fluent in building models that didn’t just predict, but made a measurable difference in business outcomes. To expand my capabilities, I pursued a Master of Management in Analytics at McGill University, where I explored the full breadth of the data science lifecycle — from data engineering and ML modeling to dashboarding and deploying AI agents. During the program, I worked as a consultant for BNP Paribas, ALDO, and L’Oréal, solving diverse business challenges using advanced analytics and machine learning. Key Courses: Multivariate Statistics | Mathematical & Statistical Analytics | Decision Analytics | Marketing Analytics | Social Media & Text Analytics | Artificial Intelligence | Managing Data Analytics Teams | Ethical Leadership Core Skills: Data Science Scripting: Python (NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, Statsmodel, Plotly), R Databases: MySQL, MS-SQL, Neo4j BI Tools: Tableau, Power BI, Alteryx Cloud: Microsoft Certified: Azure Data Fundamentals (DP-900), Data Scientist Associate (DP-100) ML Techniques: Regression, Classification, Decision Trees, Random Forest, KNN, Clustering Deep Learning: TensorFlow, Keras, CNN, RNN, ANN #DataScience #MachineLearning #ArtificialIntelligence #BigData #DeepLearning #DataAnalytics #DataVisualization #AI #ML #OpenToWork #DataScienceJobs #TechCareers #JobSearch #HiringNow #CareerInData #DataCareers #Python #RProgramming #SQL #Tableau #PowerBI #TensorFlow #PyTorch #DataEngineering #NaturalLanguageProcessing #NLP #Statistics #FinTech #BusinessIntelligence #CloudComputing #EcommerceDataScience #RetailAnalytics #LearningDataScience #DataScienceCommunity #DataScienceTraining #UpSkill #Innovation #DigitalTransformation #DataScientist

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