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Statistical consulting and software development. Yes, both. Software development: • Web applications • Custom data analysis applications, data and output management solutions, report-building utilities • Tech stack: Python, Django, wagtail, pandas, Bootstrap, Docker, AWS • https://balabanas.github.io Statistical consulting, data science: • Analysis of targeted marketing campaign effectiveness. • Forecasting KPI, automatic detection of anomalies in time series. • Development of predictive models. Main applications - targeted marketing (cross-sell, churn prediction, Next Best Offer) in the telecommunications industry. • Analysis of survey data in various applications: marketing, sociology, medicine. • Tech stack: SPSS, Oracle, Teradata, Python, pandas, R.
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
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