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Skills

  • Data Management
  • Oracle
  • Python
  • Software Development
  • SQL
  • Algorithms
  • Amazon
  • Analytics
  • App Development
  • AWS
  • Azure
  • Back End Development
  • Big Data
  • Data Analysis
  • Data Cleaning

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Services

  • Data Science

    $40/hr Starting at $80 Ongoing

    Dedicated Resource

    All the tasks of a data science project: * Business understanding * Data gathering and cleaning * Data analysis * Modeling * Evaluation * Deployment Development of classification, regression and...

    AlgorithmsAnalyticsBig DataData AnalysisData Cleaning
  • Data Engineering

    $30/hr Starting at $60 Ongoing

    Dedicated Resource

    Data ingestion, integration and transformation. Formats: Sources: - SQL databases (SQL Server, Oracle, MySQL, Teradata, PostgreSQL, SQLite, etc.) - NoSQL databases (MongoDB, CosmosDB, etc.) - Big...

    AWSAzureData ManagementEngineeringGoogle Cloud
  • Backend software development

    $30/hr Starting at $30 Ongoing

    Dedicated Resource

    Development in multiple programming languages (Python, R, Java, C) - Web Services Amazon Web Services: AWS S3, Lambda, etc.

    AmazonApp DevelopmentBack End DevelopmentJavaLinux

About

Data Scientist + Data Engineer + Software Engineer

I am a consultant in Data Science, Data Mining, Machine Learning and Big Data.
I am a software engineer with a postgraduate specialization in Data Mining and Knowledge Discovery (University of Buenos Aires).

I have worked in data projects for big companies like banks, telcos, insurance and retail companies using commercial tools (SPSS, Clementine, etc) and I have also worked for small startups using open-source tools (Python, R, etc).

I can execute all type of data-related tasks: data engineering, data mining, statistics analysis, etc.
I have developed predictive models using neural networks, decision trees, logistic regression, SVM, random forest, ensembles, etc.

I also can help you to define the scope and details of your data project, give you feedback based on my experience, and design and develop a POC or a prototype.

DATA PRODUCT DESIGN AND DEVELOPMENT

- Design and development of POCs and prototypes.
- Discussion and analysis of market and technology considerations.

DATA ENGINEERING

- Data capture (web scraping)
- Data cleansing and deduplication.
- Data transformation and reformatting.
- Unstructured data (text) to structured data (table) conversion.

DATA MINING

- Classification
- Clustering
- Regression

TEXT ANALYTICS

- Information extraction (names, entities, dates, etc)
- Sentiment analysis and opinion mining
- Topic detection

SOCIAL NETWORK ANALYSIS

- Graph structure analysis
- Community detection
- Key players identification

Work Terms

I can work 30 hours per week.
I prefer email and chat for communication purposes.