Hᴇʟʟᴏ ᴍʏ ɴᴀᴍᴇ ɪs Gᴀʙʀɪᴇʟ﹐I·ᴠᴇ ʙᴇᴇɴ sᴛᴜᴅʏɪɴɢ Dᴀᴛᴀ Sᴄɪᴇɴᴄᴇ ғᴏʀ ᴏᴠᴇʀ ᴀ ʏᴇᴀʀ ғᴏᴄᴜsɪɴɢ ɴᴏᴡ ɪɴ ᴄʟᴜsᴛᴇʀɪɴɢ ᴀɴᴅ ᴄᴜʀʀᴇɴᴛʟʏ ᴅᴇᴠᴇʟᴏᴘɪɴɢ ᴅᴀᴛᴀ sᴄɪᴇɴᴄᴇ ᴘʀᴏᴊᴇᴄᴛs﹐ ʜᴇʀᴇ ʏᴏᴜʀ ғɪɴᴅ sᴏᴍᴇ ᴛᴇᴄʜɴɪϙᴜᴇs ᴛᴏ sᴏʟᴠᴇ ʙᴜsɪɴᴇss ᴘʀᴏʙʟᴇᴍs ᴡɪᴛʜ Dᴀᴛᴀ Sᴄɪᴇɴᴄᴇ ᴀɴᴅ ᴀɴᴏᴛʜᴇʀ ᴘᴇʀsᴏɴᴀʟ ғᴀᴠᴏʀɪᴛᴇ ᴘʀᴏᴊᴇᴄᴛ ʟɪᴋᴇ ɢᴀᴍᴇ ʙᴏᴛs﹐ ᴀᴜᴛᴏᴍᴀᴛɪᴏɴs ᴡɪᴛʜ ᴘʏᴛʜᴏɴ ᴀɴᴅ ᴀɴᴏᴛʜᴇʀ ᴛʜɪɴɢs :D

• SQL Connection in Julia at SelectFrom.dev
• My Personal Portfolio

1. Business Problem: TIn Olist, exists sellers, the sellers monthly sell some products to customers. Exists some types of sellers that can work with Olist, some of that sellers can churn (not selling more). For Olist perspective, if a seller not sell in 45 days before the last day that seller is selled any product to a customer, this seller become in churn state.
2. Solution Strategy: Complete end-to-end data lakehouse in AWS with DMS, EMR and Athena, with Apache Iceberg feature stores and a machine learning in production.
3. Project Link: 💰 Olist Churn

1. Business Problem: You are working at Foods Inc as a data analyst. The company is a chain of sophisticated restaurants in Brazil and is expanding rapidly, also operating in the Uruguay and Paraguay segments. The company is currently in the process of modernizing technologies and processes, the company's main focus now is to target customers and products, one of the company's biggest updates is the creation of an online application that works like an "online restaurant", the customer Create an account on the app and order food, after that the restaurant creates food and sends it to the customer's home. This application has been running for a year and the company has collected some raw data and now its challenge is to provide insights with this data set. One of the main objectives is to create an estimator that works as a validator of sentiment scores. If the score is 5 and the text is "very bad", you will need to confirm this score with an estimator.
2. Solution Strategy: Descriptive statistics with Apache Spark and Hugging Face & Spark Machine Learning to Sentiment Analysis.
3. Project Link: 😄 Sentiment Analysis

1. Business Problem: Trucks Inc is a marketplace the company brings together Self-Employed Truck Drivers and Third Party Truck Drivers with other companies that need a truck driver, you need to expand the marketing campaign to acquire new self-employed truck drivers, one of the hypotheses raised by the Head of Marketing was to use the price of gasoline as an incentive to attract the attention of truck drivers, but the Head need a preview of gas price in future for select a best market moment to do this incentive.
2. Solution Strategy: Forecasting project with Aws and databricks lakehouse platform facilities
3. Project Link: ⛽ Gas Price Forecast

1. Business Problem: All In One Place is a geral e-commerce that sells different products. Based on this scenario, the marketing team needs to have a deep understanding of all customers, the team needs to screen potential customers for a loyalty program based on clients purchases habit.
2. Solution Strategy: Data Science project with clustering methods for findind clients and sales forecasting of insiders "people cluster".
3. Project Link: 💎 Insiders Clustering!

1. Business Problem: Blocker Fraude Company is a company specialized in fraud detection in financial transactions made through mobile devices. The company has a service called “Blocker Fraud” with guarantee of blocking fraudulent transactions. You have been hired by a DS consultancy to create a highly accurate and accurate model for fraud detection of transactions through mobile devices.
2. Solution Strategy: Data Science project containing a model that will classify fraudulent transactions.
3. Project Link: ⚠️ Blocker Fraud Company!

1. Business Problem: CCD is a company specializing in early-stage heart disease detection, the diagnosis of a cardiovascular disease is done manually by a team of specialists and current accuracy of the diagnosis varies between 55% and 65%, due to the complexity of the diagnosis and also to the fatigue of the team. The Objective is build a new tool to help the team with this diagnosis.
2. Solution Strategy: Data Science project containing a model that will classify cardiovascular disease on their characteristics, the predictions can be accessed on google sheets.
3. Project Link: ❤️ Cardio Catch Diseases!

1. Business Problem: The Objective is Predicting where a new user will book their first travel experience, because Airbnb can share more personalized content with their community, decrease the average time to first booking, and better forecast demand with this new tool.
2. Solution Strategy: Data Science project containing a model that will classify new users based on their characteristics, the predictions can be accessed on google sheets.
3. Project Link: ✈️ Airbnb Predict Booking!

1. Business Problem: The CEO required a more scientific way to evaluation the price for year 2010 of your Properties.
2. Solution Strategy: Data Science project to work with 81 features and aprox 1400 rows of dataset and build a robust machine learning model to predict property price on CEO smartphone developing in a cyclical way.
3. Project Link: 🏘️ Plus House Sales!

1. Business Problem: The CFO request sales forecast for future innovations and improvements of all Pharmaceutical Shops, the Rossmann is a drugstore chain of europe which concentrates its sales in Germany.
2. Solution Strategy: Data Science project to know all layers of rossmann's business, always delivering new insights and developing in a cyclical way to deliver value as quickly as possible. (At Working on It)
3. Project Link: 💰 Rossman Sales Forecast!

1. Business Problem: The CEO of the company called Fruits House requested scientific way to classify fruits, The Fruits House is a fruit and vegetable distributor in the south of Brazil.
2. Solution Strategy: Making Deep Learning Model to classify 131 Fruits / 36 Fruits which are all the fruits made available by the Fruit House.
3. Project Link: 🍎 Fruits Classification with DL!

1. Business Problem: The CEO of House Rocket wanted some way to visualize his entire portfolio in a more descriptive way, with maps and with his smartphone to make best decisions, House Rocket is a real estate company at Seatle.
2. Solution Strategy: Develop a web application with a simple interface with different filters, price density maps and histograms in relation to the desired filter.
3. Project Link: 📈 Insight's Project!

1. Business Problem: The Principal Mananger of ArzMex Houses requested to data analisys team to build a data product with ArzMex houses, the manager asked maps and histograms to see the geral distribuition os the portfolios.
2. Solution Strategy: Develop a web application with all requeriments, simple interface with different filters, location maps and histograms in relation to the desired filter.
3. Project Link: 📈 ArzMex Houses!

1. Business Problem: Open Source Lakehouse in Docker for study.
2. Solution Strategy: Open Source Lakehouse in Docker for study.
3. Project Link: Open Source Lakehouse

1. Business Problem: Data is generated all the time and currently, this happens with laws, every day there are government entities developing and validating new laws all the time, however, many of these new laws developed do not have easy access or this information is developed in places unreliable with difficult access to some interested institutions requesting information such as schools, enterprises, among other third parties that often do not have trained professionals to collect, transform and visualize this data.
2. Solution Strategy: Make a simple ETL to Scrapy CF88 and CLT law's and make a webapp on cloud for everyone see the laws on a complete webapp.
3. Project Link: ⚖️ Info Law!

1. Business Problem: Started By Me, I was playing a game called Mh2, and since the game is in Japanese I was having a hard time finding information quickly, so I developed a complete YouTube project to also encourage friends from a 'Mh' community to start studying programming too.
2. Solution Strategy: Start collecting data from various sources such as japanese websites, pdf, excel, do all the cleaning and loading, develop an ETL and finalize the project in an executable application.
3. Project Link: 🐉 Mh2 Database!

1. Business Problem: You working on a consultancy to e-commerce, and need to awser three questions, "What is the best selling price for the jeans pants?", "How many types of pants and their cores for the initial product?" & "What raw material is needed to make these pieces?".
2. Solution Strategy: Build a complete webscraping pipeline from a competitor e-commerce and convert the data on a executable, simple and complete app to answering all the three questions.
3. Project Link: 🛒 Star Jeans Database!

1. Business Problem: You are working in an economic analysis sector and want to understand somehow if twitter tweets make any reference to brazil's economy for future analysis.".
2. Solution Strategy: Build a ETL Process to collect daily 100 twitter tweets based on 'Brazil' query to future NLP or text analysis project.
3. Project Link: 💬 Twitter Database!

1. Business Problem: Pufzilla is a Arts / Geral teacher, i met her on Discord server of a certain game, and he like write medieval chronicles, so I decided to develop a blog for him.
2. Solution Strategy: Build a personal blog with Django to her write new blogs with a personal colors templates based on her medieval chronicles.
3. Project Link: 📜 Pufzilla Blog

1. Business Problem: I love technology and also education, so I develop a web application using OutSystems Plataform where the user can register and study without paying anything, the project is an idea based on Udemy and Hotmart.
2. Solution Strategy: Making a cool layout of Hello Plataform, which contains an online registration system, certifications and several recorded video classes from the best teachers in the world :D
3. Project Link: 👋 "Hello" ( EAD Plataform )