I am an Actuary focused in Statistics, Risk Modeling and Computer Science.
My experience includes data quality pre-processing, applying statistical, probability and machine learning methods, data visualization and reporting.
My programming path started in 2010 at CCPM where I got my Computational Systems diploma, then, I decided to study Actuarial Science falling in love with the idea of predicting the future. Over the last 2 years I have been working as a Data Analyst / Business Consultant and University Assistant Professor, being involved and leading projects for International Banks, Insurance and Healthcare companies in México.
I moved to Ireland in 2019, looking for an improvement of my communication skills. As a consequence I polished up my soft skills. I always deliver exceptional work and experience to each employer I have worked for.
Defining the insurance sales process for Telemarketing Oubound implementing Salesforce and Pure Cloud.
Developing Shiny Apps, specific functions and libraries in R according to the customer requirements while I was taking an English Language Exchange Program.
Some of my experience includes analysing and detecting demographic patterns for epidemiology and pharmacoeconomics developing automated visualization tools for it using R and VBA as engine, also I have applied machine learning ensemble methods professionally creating strategies to collect insurance premiums and I have an approach to Big Data.
Transforming mathematical concepts into simple examples and filling calculus and algebra gaps.
Debates Team Founder, Debates against IPN and EBC School
Talks: "Ahorra o Nunca" (Save Now or Never), "La educación es primero" (Education First)
Mathematics, Statistics, Probability, Finance, Insurance, Linear Algebra, Data Analytics | GPA: 88 (> percentile 94%)
Computational Systems, VBA, SQL, and full MS Office (Word, Excel, Power Point, Acess, Publisher, etc.) | GPA: 99 (> percentile 99%, Hons).
Adobe Flash, Adobe Photoshop, Adobe Illustrator, HTML, Blender, 3D Studio Max, etc. GPA: 100 (> percentile 99%, Hons).
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
View ProjectTool 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
View ProjectTime 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
Testing Time Series predictions, getting the optimal wine sales strategy throught Operations Research
View ProjectThe 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.
View Project