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About me
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: Azure (Microsoft Certified: Azure Fundamentals AZ-900)
ML Techniques: Regression, Classification, Decision Trees, Random Forest, KNN, Clustering
Deep Learning: TensorFlow, Keras, CNN, RNN, ANN
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