Services
Following is a list of all my services I currently provide, if not listed or looking for a personalized or project approach please feel free to reach me out for tailored consultancy at my contact section, looking forward to understand and provide solutions to your data analytics needs.
Contents
Data Analytics
Understanding your data, its structure and processes to create valuable insights, while keeping it secure on all of the stages of the processes.
- Collection and extraction from official, private, propietary, API or website sources
- Automated webscrapping including interaction with the website
- Cleaning and verification ensures data goes through checkpoints before use
- Wrangle and formatting to adapt to the destination needs
- Exploratory data analysis to describe the contents of the data, completeness and usability
- SQL/Pandas Queries executed with rigorous methodologies to get insights from datasets
- Website manipulation, launching surveys with SQL backend or HTML, JS, CSS edition
- Outputs as visualizations, tables and databases
- Edition of visualizations with Adobe Illustrator or Adobe InDesign
- Video data story telling design with Adobe Premiere Pro
- Presentation of results in reports, websites, python applications, scripts
- Jupyter Notebooks scripts in Python, R, Stata, and others to automate your data processes
- Filezilla access to remote servers for maintenance of website files updates
Machine Learning
Usage of Machine Learning tools helps to predict behaviors on variables, or identify patterns. Models are executed on scripts on demand or by batches to predict accurate values and make informed decisions beforehand.
- Data verification ensures data is complete and valid enough to calibrate a model
- Feature cleaning to ensure data is compliant with model needs
- Feature engineering adds value to the model by providing unseen data patterns
- Machine Learning Modeling either Supervised or Unsupervised including regression, logit, probit, classification, clustering, Natural Language Processing among others.
- Jupyter notebooks scripts or applications to execute the model on demand or by batches
Amazon Web Services
(Upcoming)
In the nearby future I plan to also assist clients with their AWS needs too, planning to offer the following.
- AWS Servers through using AWS EC2 services
- AWS Architecture Solutions integration of AWS services to adapt to your data and security needs
- Data Analytics on the cloud to leverage the analysis of larger databases
- AWS Data Infrastructure set up to adapt to your data processes including analytics and databases
- Machine Learning Modeling using high level AWS models or customized models on SageMaker
- Artificial Intelligence recomendations to implement in your business
Statistical Analysis
Statistical measurements are useful to understand populations behaviours.
- Visualization of indicators
- Geographic mapping of statistical indicators using ArcGis
- Survey design to approach the data collection based on the data needs of the client
- Time series analysis
- Statistics and population behaviours based on parameters
- Regression and Econometrics analysis based on client data availability and needs
Economic and Financial Analysis
Applying programming and automation to economic and Financial analysis ensures a rapid, timely and automated creation of data insights that might be of critical importance.
- Macro and Micro Economic and Financial methodologies in Python scripts
- Automation on data cleaning, wrangle and analysis to produce insights rapidly
- Extraction and integration of databases from Economic and Financial data of official public and private APIs, including other data as surveys, custom databases, among others
- Time series analysis of markets or economic indicators
Process optimization and automation
Optimization and automation are two useful processes to improve execution times and convert manual work into automated work thus reducing human errors likelihood.
- Automation of website manipulation as login, data query, data downloads, file dowloads
- Automation of repetitive processes or reporting into Python scripts to produce outputs efficiently in timely manner
- Data extraction and conversion from PDFs into datasets either scanned or written files
- Data extraction from images using OCR technologies to build databases
Project Management
Larger projects require Data Science and other technologies knowledge and management to understand the project objectives and present robust deliverables.
- Data Science team management to achieve projects timely and objectively
- Projects consultancy to identify data improvements opportunities in your processes
- Agile sprints to develop data solutions in the shortest time possible
Academic Research
Data Science is applied on the Academic Research to a wide range of stages inside the research processes as the following.
- Data extraction, collection, cleaning from official sources
- Execution of propietary scripts related to specific methodologies of the researchers
- Stata and python scripts to support any stage of the research process
Economic Impact Evaluation
A subset of Economic Analysis, this area focuses on identifying the impact of the aplication of Economic Policies either public or private, either considering a past or upcoming policy.
- Panel data regressions
- Logistic models
- Difference in difference models
- Probability Score Matchings
- Households income and expenditure variables
- Policies variables isolation and impact measurement