Senior Data Scientist at Grab | Freelance Data Scientist at GA | AI/ML PhD Scholar at NTU
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class Prasanth(Human): pronouns = ("He", "Him") code = ["Python🐍", "R", "SQL", "HTML", "CSS", "Matlab", "LabView", "Go"] ide = ("atom", "jupyter-notebook", "notepad++", "vscode", "Goland") technologies = { "data_science": { "tools": ["tensorflow", "keras", "sklearn", "scipy", "nltk", "numpy", "pandas", "matplotlib", "seaborn", "opencv", "GPT", ...], "concepts": { "Machine Learning": ['Linear & Logistic Regression', 'SVM', 'KNN', 'Decision Trees', 'Gradient Boosting', 'MLP', 'Ensemble', ...], "Deep Learning": ['CNN', 'RNN', 'GPT'], "Signal Processing": ['Spectral', 'FFT', 'Wavelets', 'STFT', 'Stockwell'] } "systems": ["classification", "regression", "clustering", "recommendation", "object-recognition", "nlp"] }, "expertise": ["Brain signals", "EEG", "Epilepsy", "Automated Detection", "MedTech", "Data Analytics", "Dynamic Pricing", "Fraud Detection", "User Engagement", ...], "web": { "back_end": { "python": ["flask", "django", "dash"], }, } "dev_ops": ["AWS", "Apache Spark", "Airflow"], "databases": ["PostgreSQL", "MySql", "sqlite", "Datalake", "DataWarehouse"], } if __name__ == "__main__": from time import sleep from random import choice from kitchen import yogurt, water, snacks from fitness import hiit, strength_training, jogging, walking, hiking, reading import laptop import work prasanth = Prasanth() while True: sleep(8 * 60 * 60) workload = work.get_daily_workload() while len(workload) > 0: choice(yogurt(prasanth), water(prasanth), snacks(prasanth), fruits(prasanth)) laptop.code(prasanth) choice(hiit(prasanth), strength_training(prasanth), jogging(prasanth), walking(prasanth), hiking(prasanth), reading(prasanth))