Passionate about transforming raw data into actionable business insights. Experienced in Machine Learning, Statistical Modeling, Spatial Analysis, and Interactive Visualizations using Python, R, and Tableau.

An end-to-end Geospatial Data Science project analyzing urban resource accessibility using open data (2019–2024).

• Business Insight: Identified spatial inequalities (Eixample Paradox) where high-population areas suffer from lower per-capita access, providing actionable data for urban planning.
• Tech Stack: Python (Pandas, Geopandas, Scikit-learn), Folium, Leaflet.js, Chart.js.

An exploratory data analysis (EDA) of New York Times headlines during the first 7 months of 2020, using Natural Language Processing (NLP) techniques to identify patterns and trends in news coverage during one of the most intense periods in recent history.

• Coronavirus: Surge from 275 to 811 mentions between February and March (peak of WHO pandemic declaration)
• George Floyd: "Police" and "Floyd" among the most cited words in June
• US Elections: "Trump" gaining relevance in July as the presidential election approached

• Data Collection: NYT API
• Processing: Python + NLTK (tokenization, stopwords, frequency analysis)
• Visualization: Tableau (animated charts) + WordCloud
• Analysis: Pandas, NumPy, Matplotlib, Seaborn

• Full article on Medium
• Project Repository
• Tableau Public Dashboards

Market research simulation to identify optimal locations for a new coffee shop in Montreal, mitigating investment risks through data.

• Methodology: Web scraping and Foursquare API integration to map competitors, followed by K-Means Clustering for neighborhood segmentation.
• Tech Stack: Python, Scikit-learn, Folium for geospatial visualization.

Statistical analysis of financial assets to model volatility and forecast future stock price movements.

• Tech Stack: R language, ARIMA modeling, Statistical Hypothesis Testing.

A dynamic, interactive tool built to simulate financial growth scenarios across shifting interest rates.

• Tech Stack: Python, Ipywidgets for dynamic UI components.

A collection of interactive executive dashboards focused on operations, supply chain, and spatial insights.

Indian Coal Mine Production	ACME Superstore Performance	Dual Layer Mapping