Hello, I’m W
Bridging the gap between economic theory and data-driven business strategy.
I am a Business Analyst with a background in Economics. My passion lies in decoding complex datasets to optimize pricing strategies, visualize market trends, and drive decision-making.
I don’t just build models; I build tools that help businesses understand their “Why”.
Skills:
I combine statistical rigor with modern data engineering tools:
| Domain | Tools & Technologies |
|---|---|
| Data Analysis | Python (Pandas, NumPy), R, SQL, Excel |
| Machine Learning | Scikit-Learn, TensorFlow, Linear/Tree Models |
| Visualization | Tableau, Plotly Dash, Seaborn |
| Data Eng | MySQL, PostgreSQL, Data Warehousing |
Projects:
1. Dynamic Pricing & Competitor Intelligence System
An end-to-end data pipeline simulating real-world e-commerce pricing strategies.
- The Challenge: In the fast-paced e-commerce sector, static pricing leads to lost revenue. I needed a way to monitor competitors and understand price elasticity.
- The Solution:
- Developed an automated Python script to clean data and remove seasonal outliers.
- Built an interactive Dash application to visualize price elasticity by day and month.
- Designed a dashboard to track inventory levels and pricing fluctuations.
- Tech Stack: Python, Dash, Plotly, Pandas.
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View Code on GitHub Live Demo
2. NYC Airbnb Market Decoder
Exploratory Data Analysis (EDA) of housing trends in New York City.
- The Insight: Travelers’ preferences are nuanced. I performed extensive EDA on Airbnb datasets to rank housing options and reveal hidden value gems in the NYC market.
- The Visuals: Created impactful Tableau visualizations to present findings on pricing distribution and location popularity.
- Tech Stack: R Programming, Tableau.
- View Dashboard
3. Intelligent Sales Prediction Engine
Machine Learning model for corporate sales forecasting.
- The Model: Achieved 94% accuracy in predicting future sales using Linear Regression and Elastic Net algorithms.
- The Interface: Implemented Plotly and Dash to allow stakeholders to explore “unseen data” scenarios and visualize prediction outcomes dynamically.
- Tech Stack: Python, Scikit-Learn, Plotly Dash.
- View Project
Professional Experience
Business Analyst | Retail & E-commerce 2021 - Present
- Spearheaded a data team to organize regular data cleaning workflows and prepare actionable datasets.
- Removed seasonal outliers and automated visualization reporting functions using Python.
Data Analyst | Higher Education Sector 2021 - 2022
- Analyzed data for 1100+ students to build survey reports published on the university website.
- Created 17+ Tableau graphs to visualize career outcomes and presented insights to upper management.
Market Landscape Analyst | Venture Capital 2020 - 2021
- Evaluated market landscapes across 4 sectors and designed roadmaps for 500+ product categories.
- Researched metrics for 1500+ startups to define growth drivers and investment risks.
Let’s Connect:
I am always looking for new challenges in Data Analytics and Economic Modeling.