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WHY

All data science problems and questions aim to transform information into actionable venues of profit.
While the datasets hold critical value, the biggest challenge is to balance out the benefits of data science engagements without incurring losses resulting from the misuse of the technologies or workflows.
The solution Dot Plot brings starts with understanding and determining what success is from a business standpoint together with the key stakeholders. This then leads to customizing data science methodologies to achieve goals for the specific organization.

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INDUSTRY EXPERIENCE

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TRANSPORT STATISTICS

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Analysing data

AREA OF EXPERTISE

BI CONSULTING AND DATA ARCHITECTURE

BACK-END/FRONT-END DEVELOPMENT

BI IMPLEMENTATION INCLUDING DATA WAREHOUSING

MACHINE LEARNING & PREDICTIVE ANALYTICS

ROBOTIC PROCESS AUTOMATION AND ARTIFICIAL INTELLIGENCE

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KEY TECHNOLOGIES

DEVELOPMENT FOR WEB, DESKTOP, MOBILE AND CLOUD COMPUTING

Python, R, JS

DATA MANIPULATION AND ANALYSIS

NumPy, Pandas, SciPy, Scikit-learn

VISUALIZATION AND DASHBOARDS

Bokeh, Dash, Matplotlib, Seaborn, Power BI, Tableau

DB

PostgreSQL, MySQL

CLOUD

AWS, Azure, GCP

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