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Skill level: •••••
Technologies I touched briefly
Reach me out for
Consultation, data analysis, data visualization, business intelligence, data science, data engineering, Python, Tableau, Power BI, Alteryx, kubernetes, docker, kubeflow, Websites, Wordpress, Table Tennis, Financial markets...
I am familiar with practical fundamentals of basic machine learning like Classification, Regression and Clustering and concepts like EDA, feature engineering, model validation and hyperparameter tuning.
As of other techniques - I tried some OCR (python tesseract + OpenCV), performed RFM and market-basket analysis, web-scraping and web app development.
Theoretical knowledge - time series (seasonality + forecasting), basics of neural networks, PCA and deep learning (Keras).