NataliaVelasquez18
Strategic Business & Data Analyst | Transform Organizations via Decision-Making Solutions
UC BerkeleyAustin, TX
Pinned Repositories
Amazon-Reviews-ETL
The purpose of this study is to help the executive team of DreamGames, an online videogame vendor, to decide if by joining the Amazon paid review program will generate a positive return on investment (ROI).
Analysis_on_Kickstarter_Data
Analyze Kickstarter campaign outcomes based on launch dates and funding goals
Applied_Machine_Learning_Foundations
Car_Data_Statistical_Analysis
The purpose of this analysis is to help Mechacar's Manufacturing team to understand what car features impact car performance the most. The manufacturing team will incorporate the insights into the manufacturing process aiming to produce the best performing cars in the market, rebrand the company image, and regain market share.
Citi_Bike_Data_Analysis_with_Tableau
The purpose of this analysis is to help potential investors in the Bikeshare business to gain insights from CitiBike NYC data, the target market, and the demographics of consumers to build the business plan.
credit-risk
The purpose of this study is to recommend whether PureLending should use machine learning to predict credit risk. Several machine learning models are built employing different techniques, then they are compared and analyzed to provide the recommendation.
Cryptocurrencies
Election_Analysis
Employee-database
Creation of database in PostgreSQL, definition of relationships, and data retrieval. Data modeling, data engineering, and data analysis.
Movies_ETL
Extracting data from a variety of sources in JSON and CSV formats to clean it and transforme it using Python and finally loading it into a PostgreSQL database using SQLAlchemy and to_SQL methods.
NataliaVelasquez18's Repositories
NataliaVelasquez18/Amazon-Reviews-ETL
The purpose of this study is to help the executive team of DreamGames, an online videogame vendor, to decide if by joining the Amazon paid review program will generate a positive return on investment (ROI).
NataliaVelasquez18/Movies_ETL
Extracting data from a variety of sources in JSON and CSV formats to clean it and transforme it using Python and finally loading it into a PostgreSQL database using SQLAlchemy and to_SQL methods.
NataliaVelasquez18/Analysis_on_Kickstarter_Data
Analyze Kickstarter campaign outcomes based on launch dates and funding goals
NataliaVelasquez18/Applied_Machine_Learning_Foundations
NataliaVelasquez18/Car_Data_Statistical_Analysis
The purpose of this analysis is to help Mechacar's Manufacturing team to understand what car features impact car performance the most. The manufacturing team will incorporate the insights into the manufacturing process aiming to produce the best performing cars in the market, rebrand the company image, and regain market share.
NataliaVelasquez18/Citi_Bike_Data_Analysis_with_Tableau
The purpose of this analysis is to help potential investors in the Bikeshare business to gain insights from CitiBike NYC data, the target market, and the demographics of consumers to build the business plan.
NataliaVelasquez18/credit-risk
The purpose of this study is to recommend whether PureLending should use machine learning to predict credit risk. Several machine learning models are built employing different techniques, then they are compared and analyzed to provide the recommendation.
NataliaVelasquez18/Cryptocurrencies
NataliaVelasquez18/Election_Analysis
NataliaVelasquez18/Employee-database
Creation of database in PostgreSQL, definition of relationships, and data retrieval. Data modeling, data engineering, and data analysis.
NataliaVelasquez18/eurobank-saves-2M-in-marketing-budget
The purpose of this analysis is to help Eurobank reduce cost of telemarketing campaigns by predicting the propensity of a client to subscribe to the bank term deposit through a telemarketing campaign
NataliaVelasquez18/GITHUB_practice_files
NataliaVelasquez18/Mapping_Earthquakes
NataliaVelasquez18/markdownLinkTest
This tests links in Github markdown.
NataliaVelasquez18/Mission-to-Mars
NataliaVelasquez18/NataliaVelasquez18
NataliaVelasquez18/NataliaVelasquez18.github.io
NataliaVelasquez18/Pewlett_Hackard
A database built-in SQL using PostgreSQL
NataliaVelasquez18/Portfolio
NataliaVelasquez18/PyBer_Analysis
NataliaVelasquez18/School_District_Analysis.
NataliaVelasquez18/shein-boosts-revenue-by-5M-yearly
Shein, a clothing brand, is using data analytics to design its strategy for 2024. The purpose of this analysis is to help the company enhance customer experience and grow market share focusing on increasing revenue and profitability by understanding consumer trends.
NataliaVelasquez18/Stock-Analysis
NataliaVelasquez18/UFOs
NataliaVelasquez18/Weather-analysis-with-SQLAlchemy-and-SQLite
Advanced Data Storage and Retrieval using SQLAlchemy to connect and query a SQLite database. Executed statistical analysis with Python, produced visuals with Matplotlib, and provided business recommendations.
NataliaVelasquez18/Web-based-Data-Visualization
Web based data visualization using Plotly
NataliaVelasquez18/World_Weather_Analysis
Perform requests on the OpenWeather map API and Google Places API to obtain city weather data and hotel information to then display the data in a world map according to preferred weather criteria.