Hi ! my name is Daniel Penalva, welcome to my Data Portfolio. Data Analytics, Data Engineering and Data Science are the new hot jobs for an ever growing demand for work on data for business insights and values.
Iam excited to share my skills and also demonstrate them to you, currently i can fill the Data Analytics and Data Science roles, but iam recently adding new Data Engineering skills, so soon i will be having proficiency to exercise this role too.
Feel free to get in touch if you find interesting.
The (ficticious) enterprise All-in-One need to know which customers are giving more revenue, what are the groups of consume and their indicators. This project aims to clustering clients with purpose of offering fidelity program.
Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance.
The business model of insurance enterprise have clients which can be offered an extra product in a modality of business called Cross Sell. Here our project predict the customer with highest probability of having interest in the product, so the business squad can have this as decision parameter on which clients of the client base to offer the new product.
Prediction of bank inclusion in african countries with socio-demographic data and Random Forest algorithm
Python for Data Science, SQL, Database SQLite Postgres
Regression, Classification, Time Series Analysis, Clustering, Learn to Rank and Bayesian Analysis
Balancing, Resampling, Feature Selection, Dimensionality Reduction and Embedding Spaces
RMSE, MAE, MAPE, Confusion Matrix, Precision, Recall, ROC, AUC, Gain and Lift Curves, Silhouette Score
Matplotlib, Seaborn, Metabase, Streamlit
Cyclic Method CRISP, Scrum