Portfolio
Welcome to My Portfolio!
Explore my work in data analytics, business intelligence, and visualization. This portfolio showcases my expertise in SQL, Tableau, data preparation, and consulting projects, with real-world applications and insights.
What You’ll Find Here:
✅ Featured Consulting Experience – Case studies and strategic insights.
✅ Data Analytics & Visualization – Transforming data into actionable insights.
✅ Tableau Projects – Interactive dashboards for decision-making.
✅ Tableau Prep Builder – Data preparation and transformation workflows.
✅ SQL Projects – Query optimizations, data analysis, and automation.
Click on any section below to explore my projects in more detail!
Featured Consulting Experience
Health In Harmony & TIL+
On this project, I consulted with Health in Harmony, an international non-profit dedicated to reversing global heating and recognizing the critical role rainforests play in humanity's survival. Using the innovative process of Radical Listening, Health in Harmony collaborates with experts to create impactful change on the planet.
This project was carried out as a part of TIL+, an initiative from The Information Lab to help NGOs and nonprofits make sense of their data.
I assisted in three main areas:
Organizing and Improving Efficiency of Tableau Cloud Subscription: I optimized their Tableau Cloud subscription, organized data sources, and streamlined the storage of dashboards.
Creating Dashboards: I developed several dashboards to visualize their data clearly, focusing on various programs in Madagascar and Indonesia. These dashboards provided valuable insights into their operations and outcomes.
Training End Users: I trained end users to understand and utilize Tableau effectively, enabling them to gain insights from their data.
Data Analytics & Visualization
Data Analysis Skills
Tableau Projects:
Click here to see all my Tableau Visualizations: Tableau Public
Tableau Prep Builder:
Power BI Projects:
2022 Beverage Sales Review Dashboard (Power BI)
Overview:
This 2022 Beverage Sales Review Dashboard, created in Power BI, comprehensively analyzes beverage sales performance across different brands, regions, and time periods. Designed to help businesses track sales trends, operating profit, and geographic distribution, this dashboard enables data-driven decision-making by offering interactive filtering and visual insights into key performance metrics.
Key Features:
• Total Sales Performance:
• Visualizes daily sales trends over the year, helping identify peak sales periods and seasonality.
• Operating Profit Analysis:
• Compares operating profit against total sales across major beverage brands.
• Highlights profitability by brand, supporting strategic pricing and inventory decisions.
• Beverage Brand Breakdown:
• Displays key sales metrics, including units sold, total revenue, average price per unit, and operating margin for each brand.
• Provides a data-driven ranking of beverage performance.
• Sales by State (Geographic Analysis):
• Interactive map visualization highlights state-level sales distribution, revealing top-performing locations and market opportunities.
• Dynamic Filtering & Date Range Selection:
• Users can filter by region, state, and time period to customize the analysis and drill down into specific trends.
Builders+ Sales Performance Dashboard (Power BI)
Overview:
This Sales Performance Dashboard, built in Power BI, provides a comprehensive overview of yearly sales trends, profit margins, customer activity, and product category performance. Designed for sales teams, analysts, and executives, this dashboard delivers real-time insights into revenue generation, sales segmentation, and profitability.
Key Features:
• Overall Sales & Profit Overview:
• Tracks total sales ($2.30M), profit ($286.4K), orders (5009), and customers (793) for a holistic business performance view.
• Sales Breakdown by Category & Segment:
• Identifies top-performing product categories, including Technology ($836K), Furniture ($742K), and Office Supplies ($719K).
• Segments sales performance by Consumer, Corporate, and Home Office customers to analyze buying behaviors.
• Sales vs. Profit Over Time:
• Displays an interactive time-series analysis to highlight seasonal trends, revenue fluctuations, and profitability patterns.
• Detailed Product Profitability Table:
• Analyzes individual product profitability, revealing both high-revenue and loss-leading items.
• Helps businesses refine pricing strategies and optimize product offerings.
• Dynamic Filtering & Date Selection:
• Allows users to filter data by region, state, and date range, making it easy to customize insights based on business needs.
SQL Projects:
Click here to see all my SQL projects: Github
Business Problem
LetsMeet is an online network for professionals and enthusiasts to meet up in real life with groups that share common interests.
LetsMeet has hired me on a temporary contract as a Data Analyst to support the growth LetsMeet has been experiencing in the past six months by providing insights into who LetsMeet members are and how they use the platform.
Tools used
MySQL
Tasks & Processes
Data Impressions
- Examining the Entity Relationship Diagram (ERD)
Ad Hoc Reporting
- DDL & DML SQL queries
Database Normalization
- Carrying out normalization
- Reverse engineering of the Entity Relationship Diagram (ERD)
Impact & Results
Wrote SQL scripts, and authored Ad Hoc reports and a summarized report that directly answered stakeholder questions.
Normalized the LetsMeet database, and developed a strategy to split tables to save storage space and time.
Improved the structure of a database and reverse-engineered the Entity Relationship Diagram (ERD).
Other Projects:
Listings123 - Exploratory Data Analysis & Presentation
Business Problem
Listings123 is an up-and-coming home-sharing service (similar to Airbnb). The company provides an online marketplace that connects people looking to rent their homes or rooms (hosts) with people who are looking for temporary accommodations (guests).
The CEO wants to expand to new cities but has a problem with raising money for the marketing campaign. The investors and VCs will not fund the campaign until they are presented with data-based evidence on what traits (qualities and actions) make a successful host specifically for Listings123.
Tools used
Google Sheets
Google Slides
Exploratory Data Analysis Process
The business problem was framed, Data Exploration was carried out, Data Wraggling was completed, Data Visualizations were created and Descriptive Statistics were examined. Based on the above, inferences and ultimately business insights were developed to solve the problem.
The process included summarizing data using Pivot Tables. Cleaning of inconsistent, invalid, duplicate, and missing data including the use of ISNUMBER/SEARCH, COUNT/COUNTIF/COUNTA/COUNTUNIQUE, and split text to columns functions. Using INDEX/MATCH formulas to merge tables. As well as using VLOOKUP to identify specific items in the tables.
Insights & Results
The top three traits identified that make a host successful for Listings123 are:
Strict - Cancellation Policy,
Listing an Entire Home/Apartment, and
Listing in cities with characteristics similar to those of San Francisco.
These data-based recommendations were provided to secure funding for the company’s nationwide marketing campaign.