Services
I'm a data engineering expert, and I want to help you turn your data into a competitive advantage. My services include designing and building the infrastructure to store, process, and analyze your data. From data integration to data quality and security, I help you turn data into actionable insights that drive your business forward.
With my expertise, you can improve operational efficiency, increase competitiveness, and enhance customer experiences. I'll connect all your data sources into a single, unified view of your data. I'll create scalable and reliable data storage solutions that grow with your business. And I'll transform and aggregate your data in real-time or batch mode to make it usable for analysis.
Don't let siloed data hold you back. Let me help you turn it into a strategic asset. Contact me today to learn more about my data engineering services and how I can help your business.
We have divided our services into these categories
- Data-Driven Strategy
- Business Analytics
Data-Driven Strategy
Your company needs a data strategy. We share Seth Dobrin, VP & CDO & IBM Analytics Chief Data Evangelist, vision on how to go from zero to data science. Analytics is about taking decisions with right information at perfect timing. For that, we focus on the decision-taking process inside your organization and value every decision so you and your team start working proactively (instead of reactively).
Business Analytics
Once configured the strategy, it's time to get hands on execution. Based on business problem framing, solutions usually enter into these categories:
- Data Analysis
- Data Visualization
- Web Scraping
- BI and BA foundations
Data Analysis
Trouble analyzing the data available at your company? Financial projection, comercial performance, social media monitoring, operations development and process automation are our areas of expertise. If there is data, we give it value.
Got technical?
Giving value to your data requires knowlegde on technical skills. We start by feature engineering the data. We then use multiple regression, exponential smoothing and ARIMA models, then go further with regression trees, k-nearest neighbors, and neural networks for predictive analytics; discriminant analysis, logistic regression, k-nearest neighbors, classification trees, naive Bayes and neural nets for classification, and association rules for affinity ("market basket") analysis. Use principal components, k-means clustering, and hierarchical clustering to simplify and cluster your data. In prescriptive analytics, let us use decision trees, Monte Carlo simulation, and powerful conventional and stochastic optimization.
Truth be told that framing your business problem is more important than knowing all available skills in the literature.
Data Visualizations
Is you database an unused asset? Get the most out of your data with our data visualization expertise. Take real-time decisions watching your own tailored made dashboards: all your data sources in one place. We priotize your business needs over tools.
Web Scraping
Let's suppose you want to download all the products available in one (or multiple) e-commerce website(s). You start by hand getting the first 10 but suddenly you figure out there are millions of articles. What you do? You contact us. We automate data downloading by creating tailor-made bots so that you get your data while sleeping! This is called Web Scraping.
BI and BA foundations
Let your team get the leastest releases and concepts in Business Intelligence (BI) and Business Analytics (BA). In this four-hour workshop we will work on concepts from open-source / commercial software, languages and platforms to applied data modelling. We will put hands on a real case on segmenting sellers from a company. Can't let your team work without these data concepts!
- Data analysis: You can help businesses or organizations analyze large datasets to uncover insights, trends, and patterns.
- Data modeling and machine learning: You can use your expertise to build models and machine learning algorithms to predict outcomes and identify opportunities for improvement.
- Data visualization: You can use your skills to create visually appealing and interactive dashboards and reports to help stakeholders better understand data.
- Data architecture and infrastructure: You can design and implement the infrastructure needed to collect, store, and analyze data.
- Data governance: You can help organizations establish data governance policies and procedures to ensure data quality, privacy, and security.
- Data strategy: You can work with stakeholders to develop a data strategy that aligns with business objectives and helps drive decision-making.
- Data product development: You can help businesses build data products, such as recommendation systems, fraud detection tools, and chatbots.
- Data integration and migration: You can help organizations integrate disparate data sources or migrate data from one system to another.
- Data quality assessment and improvement: You can help organizations identify data quality issues and develop strategies to improve data quality over time.