Below is a comprehensive list of every project I have completed,
grouped by the main tool used.
- Links in the initital Project column will lead to the project files on GitHub containing datasets, notebooks and/or code files.
- Links in the last column will lead to any app or dashboard associated with said project.
- The full-stack section contains projects that were done using some combination of the tools listed before it.
| Project | Description |
|---|---|
| Adidas U.S Sales Analysis | -Used MS Excel to analyze 2 years worth of U.S sales data for the German athletic apparel and footwear corporation, Adidas. -Leveraged Pivot Tables to gain insight in to the dataset and put together a number of visualizations to breakdown sales by region, retailer, etc. |
| Supply Chain Analysis | -Used MS Excel to analyze supply chain shipments and commodity pricing for HIV/AIDS medication from the U.S. -Leveraged Pivot Tables to gain insight into the dataset and put together visualizations for a dashboard. |
| Bike Buyer Analysis | -Used Excel to analyze data on a bike shops customers. The dataset includes 11 features including age, occupation, income, and marital status, among the rest. -Removed duplicate values. -Utilized nested IF statements to group the Age column into a seperate Age Bracket column. -Created Pivot tables to aid in data visualization. -Leveraged pivot tables into a dashboard and add slicers to filter visualizations. |
| Project | Description |
|---|---|
| Media Store SQL Analysis | -Curated a list of SQL queries analyzing invoices for a fictional media store. The database contained multiple tables containing information on customers, employees and products. -Mainly focused on aggregate functions and joins to conduct analysis. |
| COVID-19 SQL Analysis | -A list of SQL queries analyzing COVID deaths and vaccinations by country and by continent using aggregate functions. Also includes window functions, CTE's, Temp Tables, and Views. -This data contained two tables one for deaths and one for vaccinations. CTE's, Temp Tables, and Views were also used. |
| MoMA SQL Analysis | -A list of SQL queries analyzing the collection of Museum of Modern Arts in New York City using aggregate functions. -This data contained two tables, one containing information on artworks including medium and classification and another containing information on artists such as nationality and number of works. |
| DataInMotion SQL Case Studies | - Conducted product and sales analysis for a small retail store using PostgreSQL. The database was made up of four tables (customers, products, orders, order_items) and was queried to answer 10 questions using aggregate functions, JOINS, and CTE's. - Conducted departmental analysis of a company as a Human Resource professional using PostgreSQL. The database was made up of 3 tables (employees, projects, departments) and was queried to answer 5 questions using aggregate functions, SELF JOIN, and Window Functions. |
| Danny Ma's 8-week SQL Challenge | -These SQL case studies are free case studies designed by Danny Ma to help data analysts practice and hone their SQL skills by simulating real-world business problems and challenging participants to query for solutions. -The case studies will be completed in PostgreSQL v13 and my solutions to each case study will be found here as I complete them. |
| Project | Description | Libraries Used | App Link |
|---|---|---|---|
| app_1_MLB_eda | -Scraped Baseball-Reference website for cumulative player stats for each season since 1998. -Created an interactive app with Streamlit where users can select team and year and receive a downloadable dataframe and accompanying exploratory analysis. |
Python, Pandas, NumPy, Requests, BeautifulSoup, Streamlit | https://mlb-eda.streamlit.app/ |
| app_2_wine_classifier | -Looked to predict Vinho Verde brand wine quality and type based on multiple physicochemical factors. -Built and tuned 4 classification models using the Sci-Kit Learn library for each target variable and created an app using Streamlit for potential customers. |
Jupyter Lab, Python, Pandas, NumPy, Sci-Kit Learn, Matplotlib, Seaborn, Streamlit | https://wine-class.streamlit.app/ |
| app_3_insurance_regression | -Aimed to predict medical insurance costs in the United States based on 6 factors using a simulated dataset based on U.S Census Data. -Built and tuned 5 different linear models with grid searches using the Sci-Kit Learn library and subsequently built an app using Streamlit for getting a cost estimation. |
Jupyter Lab, Python, Pandas, NumPy, Sci-Kit Learn, Matplotlib, Seaborn, Streamlit | https://insurance-estimator.streamlit.app/ |
| app_4_Movie_RecSys | -Built a movie recommendation system using a dataset containing 5000 films. The dataset is hosted on Kaggle and sourced from the TMDb API. -Leveraged NLP techniques such as stemming and tokenization as well as cosine similarity to generate 5 recommendations based on a selected film. |
Jupyter Lab, Python, Pandas, NumPy, Sci-Kit Learn, NLTK, Streamlit | Click Repo For Instructions |
| Heart Disease Risk Detection | -Aimed to predict likelihood of heart disease in patients based on a number of cardiovascular metrics. -Built and tuned 4 different classification models using the sklearn library to achieve outcome. |
Jupyter Lab, Python, Pandas, NumPy, Sci-Kit Learn, Matplotlib, Seaborn, Plotly | N/A |
| Telco Customer Churn | -Analyzed customer churn data for a telephone and internet service company containing 20 different features. -Built and tuned 5 different classification models using the sklearn library to predict likelihood of customer churn as well as which factors were causing it. |
Jupyter Lab, Python, Pandas, NumPy, Sci-Kit Learn, Matplotlib, Seaborn | N/A |
| Geocoding Places of Worship in NYS | -Analyzed geographic data for all of the nearly 3,000 places of worship in New York state as of 2019. -Manipulated dataset to gain further insight into which religions had the most locations. -Leveraged the Bing Maps API to retrieve the latitude and longitude coordinates of each location and created visualizations using the Folium Python API to generate maps. |
Jupyter Lab, Python, Pandas, NumPy, GeoPy, Folium, Matplotlib, Seaborn | N/A |
| Project | Description | App Link |
|---|---|---|
| Northwind Traders Dashboard | -This dashboard was submitted to Maven Analytics Northwind Challenge -Built a top-level KPI dashboard for the executive team at Northwind Traders, a global shipping company that specializes in supplying high-quality gourmet food around the world. -KPI's are split into 3 separate pages (Overview, Customer Breakdown, and Product Performance) providing a clean and effective viewing experience for stakeholders. |
Dashboard: https://tinyurl.com/277rrhhy |
| Ad Sales Dashboard | -Created and deployed a dashboard tracking sales data for a marketing consultancy over a one year span. -included total revenue, monthly revenue, best-performing consultants and teams as well as best selling ad-channels, etc. -Deeper analysis is possible through created filters for month and sales team. |
Dashboard: https://tinyurl.com/yhsx6tsb |
| COVID-19 Vaccination Tracker | -Created a dashboard tracking partial (1) and full (2) vaccinations around the world as of 1/26/2023. -Added filters for continent, country, and date range. -Utilized world map to visualize vaccinations per hundred for every country. -Also visualized GDP per Capita and Vaccinations per Hundred |
Dashboard: https://tinyurl.com/bdhr5ux2 |
| A.I Index Dashboard | -Deployed a dashboard measuring the rapid rate of A.I advancement including research and development, investment, and A.I policy. -Utilized bar charts to show total A.I investments by country and focus area of investments. -Showed patent filings, total A.I publications, including publications by field. -Visualized corporate adoption of A.I and a section on A.I policy which includes mentions in legislative proceedings and A.I related bills actually passed, broken down by country. |
Dashboard: https://tinyurl.com/2sxw8dn6 |
| Project | Description | Tools Used | Links |
|---|---|---|---|
| Plato's Pizzeria Sales Analysis | -For this project, I took on the role of a data analyst for Plato's Pizzeria, a Greek-inspired pizza place in New Jersey. -Plato's has been collecting transactional data for the past year, but really haven't been able to put it to good use. -Tasked with analyzing the data and putting together a dashboard to help them find opportunities to drive more sales and work more efficiently. |
SQL, Tableau | Tableau |