Onsite Placement
Boost your data analysis capacity and capabilities with our talented Data Scientists, without having to hire them permanently.
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If you are having trouble with any of these situations, please let us help you.
- You are just about to start Data Science and not experienced enough to hire Data Scientist
- You don’t have time to hire new people
- You find it difficult to find the right and reliable talent
- Your circumstances do not allow for additional in-house human resources
- You need additional talent support only for a certain period of time
We understand that having in-house human resources sometimes brings some difficulties that you have to face, such as:
- Employees who don’t perform and often complain of being sick, who still have to be paid
- Huge severance pay to fire employees
- The amount of the fee to pay the holiday allowance
- It takes a lot of time, effort and money to train employees
This obstacle made it difficult for the team to be able to focus on its main work
We provide outsourced Data Engineer, Data Analyst, and Data Scientist talent who are skilled, self-managed and able to work comfortably with a team or independently. Our talents are ready to help with your work/project for a certain period at your organization location, while still receive ongoing skill and knowledge support from our management. This service can be mandays or man months, depending on your needs. We guarantee your organization can get more data insights, better performance, and also reduce project costs and time wastage.
Data Engineer
Specialization Area:
- Prepare data from various database sources
- Cleaning data in terms of adjusting data types, formatting, and adjusting data content as needed by the data team or user
- Build an ETL system
- Manage and maintain database
- Ensure data updating process runs well and process expected results
Main Skills:
- SQL
- Talend
- Python
- Apache Airflow
Data Analyst
Specialization Area:
- Data cleaning, such as handle missing values, duplicated data, and unwanted values in data
- Handle outliers
- Perform Exploratory Data Analysis (EDA) by looking for patterns/trends, discover relationships between variables, and finding interesting information or facts from the data
- Create visualizations and build dashboards
Main Skills:
- Python
- Tableau
- Apache Superset
- Google Data Studio
- SQL
Data Scientist
Specialization Area:
- Build model, such as Machine Learning, Deep Learning, or other Mathematical/Statistical model
- Improve the accuracy, precision, and recall performance of the model
- Analyzing, validating, and enhancing the model to answer the analysis goals
- Create simulations based on model results
- Build NLP and computer vision projects
Main Skills:
- Tableau
- Apache Superset
- Google Data Studio
- SQL
- Python (with specific libraries, such as Scikit Learn, TensorFlow, Keras, NLTK, Spacy)
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