Dhaval Patel is a software & data engineer with more than 17 years of experience. He has been working as a data engineer for a Fintech giant Bloomberg LP (New York) as well as NVidia in the past. He teaches programming, machine learning, data science through YouTube channel CodeBasics which has 428K subscribers worldwide.
Video Link: https://youtu.be/FmnVGuWPxJ8?list=PLtluUSnvgbdF7MlqjX5-IVMCkFGTrEWlz
Audio Link: https://anchor.fm/minhaaj/episodes/Data-Science-Careers-with-Dhaval-Patel—Codebasics-Youtube-e1977so
Timestamps of the Conversation:
00:00 Intro
01:34 Autoimmune disease ‘Ulcerative colitis’, Life & Death Struggle, Back to Life
03:40 Mental Health, Steroids & Immune System
11:00 Planning Videos, Pedagogy & Smart People Problem
17:15 Working at Bloomberg, Bloomberg Trading Terminal & Exceptional Talent in Bloomberg
21:13 Career Tracks on Data Related Spectrum, Pathways for different Careers
25:16 Data Structure and Algorithms, Politics vs Equations, Eternity
28:20 ML vs Deterministic Programming, Time & Space complexity of the ML Models
30:37 Kaggle vs Real Life, Soft Skills for Engineers, Transition from Competitions to Industrial Use-cases
30:02 Litmus Test for Hiring Data Scientists, Continuous Engagement & Adaptability
42:35 Loss of Productivity by Lack of Communication Skills, Education System Deficiencies, How to Win Friends by Dale Carnegie
46:50 Death by PowerPoint, Simplicity & Walk vs Talk
49:51 Negotiating Salary, Action vs Motivation, Cellphone is a Distraction
57:35 Growing Vegetables, Joy of Gardening, Rural Childhood & GMO Food
01:01:40 Dhando Investor, Motel Business Monopoly by Patels, Software Engineering
01:04:04 Deep learning, C++ Back-propagation Algorithms, Nvidia Titan RTX GPUs, Amazon Stores Experience
01:08:49 Nvidia Broadcast Noise Cancellation Demonstration, Nvidia Card Filtering, CNNs and Edge Detection
01:16:06 BlackBox Models, ML-centric vs Data-Centric Models,
01:19:25 Natural Language Understanding, Yann Lecaun, Low Accuracy is NLP Models
01:21:18 Github AI Pairing, Data Structures & Future of Programming Languages
01:27:01 ETL pipelines & Distributed Computing Structures
01:30:00 FAST API, Beginner’s Tools, Pytorch vs TensorFlow, Improvements in Tensorflow 2.0
01:35:05 Programmers vs Normal People, Semantics of English vs Programming Languages, pd.read_csv
01:38:03 Nvidia GPU vs Apple M1 GPU, Hope for non-Nvidia Deep-learning, Google Colab
01:41:30 Google Pixel, Google Tensor Chips & Chip Shortages
01:44:00 Discord Community for Data Science, Mentorship & Abundance Mindset
01:49:00 Struggles, Battles, Hopelessness & Dysphonia
Dhaval’s profile: https://www.linkedin.com/in/dhavalsays/
Youtube Channel: https://www.youtube.com/c/codebasics
Full Episodes Playlist link: https://bit.ly/3p2oWJA
Clips Playlist link: https://bit.ly/3p0Qmzs
Apple Podcast Link: https://apple.co/3v0YZxV
Google: https://bit.ly/3s5vDwc
Spotify: https://spoti.fi/3H6jqf0
Minhaaj Rehman is CEO & Chief Data Scientist of Psyda Solutions, an AI-enabled academic and industrial research agency focused on psychographic profiling and value generation through machine learning and deep learning.
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