Projects
My first R package
Extends the fitdist() (from 'fitdistrplus') adding the Anderson-Darling and Kolmogorov Smirnov Tests as engine, offering a new function which uses mixed and multimodal distributions to fit, these are split via unsupervised learning. Some applications:
-Growth rates among interest rates
-Insurance policies frequency
-Fraud detection
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SQL Reporting tool
Tool to compile SQL queries and R code in the same database, generating automatable driven reports
-Saving roughly 10 hours per week
-SQL, R, Excel and Word (or PDF) integration
-Real Time Analysis
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Ensemble Learning for Time-Series
Time Series Analysis (TSA) to fit more strictly the seasonal component by using Fourier series and machine learning models. This project includes seasonality tests and an automatable ARIMA model to compare discrepancy.
-Population aging
-Pricing, products' consumption and their seasonality
-Emergence of seasonal diseases
-Fraud detection
Wine production and sales optimization with Time Series and Operations Research
Testing Time Series predictions, getting the optimal wine sales strategy throught Operations Research
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My second R package
The goal of shortcuts is to accelerate code writting in R and RStudio via addins.
-Copy and Paste tables into R without using code.
-Get every agument and its values from a function.
-Automated clean code and apply styling to it.
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