Kaggle Learn review: there is a deep learning track and it is worth your time
Detailed review of Kaggle's interactive deep learning tutorial
2
Akash Tandon
Mentor
(7 reviews)
US$15.00
For every 15 mins
20
Sessions/Jobs
ABOUT ME
Experienced full-stack data engineer and ML expert
Experienced full-stack data engineer and ML expert
Primarily available for freelance or long-term requests.
Available for 1:1 help or discussions between 04:30-06:30 PM UTC.
Data Engineer, Analyst and Machine Learning practitioner on a quest to build intelligent products and understand intelligence better while at it.
I have worked on online courses and taken various workshops because of my inclination towards mentoring and helping others understand things better.
My author profile with a publisher: https://www.packtpub.com/books/info/authors/akash-tandon
My LinkedIn: https://www.linkedin.com/in/akashtandon
Past: 2x GSoCer, Data Engineer @ Atlan, SocialCops, RedCarpetUp (YC and Google Launchpad startup), GSoC mentor, Technical Author @ Packt Publishing
Current: Independent consultant
Hindi, English
New Delhi (+05:30)
Joined June 2017
EXPERTISE
5 years experience
Python has been an integral part of my toolbox for my work as a data engineer as well as an open source developer. In addition, I use Pyt...
Python has been an integral part of my toolbox for my work as a data engineer as well as an open source developer. In addition, I use Python's scientific stack extensively for data science competitions.
4 years experience | 1 endorsement
Have worked on data science projects from different domains as an employe and freelancer in addition to being a regular with data science...
Have worked on data science projects from different domains as an employe and freelancer in addition to being a regular with data science competitions and hackathons. In particular, a lot of my work has focused on building tools and frameworks to ease the data science process.
4 years experience
3 years experience
4 years experience
I have been involved with R project for statistical computing for more than 2 years now through the Google Summer of Code program, both a...
I have been involved with R project for statistical computing for more than 2 years now through the Google Summer of Code program, both as a mentor and student. In the process, I have extensively worked on both low-level stuff such as memory handling as well as high-level processes such as data modelling and visualizations. I maintain a R package, Rperform, which has been fairly popular of late.
2 years experience
- Author of a machine learning course for Packt Publishing.
- Active participant in machine learning competitions with notable results a...
- Author of a machine learning course for Packt Publishing.
- Active participant in machine learning competitions with notable results across multiple platforms including Kaggle, Analytics Vidhya, etc.
- Maintained and developed machine learning infrastructure at a fintech startup.
3 years experience
REVIEWS FROM CLIENTS
(7 reviews)
Sylvie Borau
September 2017
Akash is very profesional and very patient. A true expert of R.
Kate R.
September 2017
Akash is great to work with -- he is a skilled programmer and a helpful code mentor. I highly recommend him.
Kate R.
September 2017
Akash is great! He is a patient code mentor who is a skilled programmer. I highly recommend him.
Kate R.
September 2017
Akash is an excellent programmer who has the patience to guide inexperienced coders through challenging problems. Highly recommended!
Miro
July 2017
Very patient. Shares logic. Solves problems!
Jyothi
July 2017
Great guy and very through to understand the problem give appropriate solutions.
Rommy Mohamed
July 2017
very helpful in solving my R Issues
Joe Foley
June 2017
Fantastic. Thoroughly happy with Akash. Would certainly look for Akash again. Get Akash if you can
SOCIAL PRESENCE
awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
569
76
Rperform
:bar_chart: R package for tracking performance metrics across git versions and branches.
R
59
8
229 Reputation
0
2
12
