Consulting Services
DEVELOPMENT SERVICES PROVIDED
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Software Engineering
Technologies:
• Dev Methodology (Waterfall / Agile / Hybrid)
• Java Language (JSE, JEE)
• C Language
• Business Analysis
• Cloud Architecture Definition (Azure Cloud)
• Tests Development
• Deployment Design
• Project Management (Scrum)
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Business Intelligence Projects
Technologies:
• Data WareHouse Methodology (Kimball / Inmon)
• Database Development (SQL Server / SQL Azure / Oracle)
• DB Dev Languages Transact SQL / PLSQL
• Transactional and Multidimensional Data Modeling
• ETL Development (SSIS / Pentaho DI)
• Cubes Design (SSAS)
• Dashboard Development (PowerBI / MIcroStrategy)
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Machine Learning Projects
Programming Language
• Python
• R
Probability and Statistics
• Statistics for Data Science
Regression Models:
• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Support Vector Regression
• Decision Tree Regression
• Random Forest Regression
Classification Models:
• Logistic Regression (Classification)
• KNN - K Nearest Neighborhood
• SVM - Support Vector Machines
• Kernel SVM
• Naive Bays
• Decision Tree (Classification)
• Random Forest (Classification)
Clustering Models:
• K-Means Clustering
• Hierarchical Cluster
Association Rules Learning:
• Apriori Method
• Eclat Method
Reinforcement Learning:
• UCB - Upper Confidence Bound
• Thompson Sampling
NPL - Natural Language Processing:
• Bag of Words
• ChatBot
Dimensionality Reduction:
• PCA - Principal Component Analysis
• LDA - Limiar Discriminant Analysis
• Kernel PCA
Features Extraction:
• Wavelets
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Deep Learning Projects
Neural Networks - Supervised Learning:
• Artificial Neural Networks
• Convolutional Neural Networks
• Recursive Neural Networks
Neural Networks - Unsupervised Learning:
• SOM - Self Organize Maps (Kohonen)
• Boltzmann Machines
• Auto Encoders
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