Waqas Bukhari, PhD
Mentor
(10 reviews)
US$30.00
For every 15 mins
34
Sessions/Jobs
ABOUT ME
Data Scientist and Machine/deep learning engineer
Data Scientist and Machine/deep learning engineer
I have experience in a wide range of classical machine learning and more recent deep learning algorithms and have developed machine learning solutions to problems in multiple domains.
My experience primarily comprises developing models for time series predictions and anomaly detection based on signal processing and machine/deep learning algorithms.
Biomedicine, finance and transportation are the major domains I have worked during my academic and professional career.
I have also worked as a freelance developer with local startups in computer vision and financial domains and have developed production-ready deep learning models. Since august 2017, I am working as a data scientist developing data-driven solutions for our clients including include KT, ETRI, Seoul Metropolitan Govt. amongst others.
English
Riyadh (+03:00)
Joined January 2019
EXPERTISE
5 years experience | 1 endorsement
I have been using Python as a professional developer in data science and machine learning space. I have worked as a freelance, developin...
I have been using Python as a professional developer in data science and machine learning space. I have worked as a freelance, developing convolutional neural networks based image retrieval systems for a fashion startup and price direction prediction models for a fintech startup. Since August 2017, I am working for a mid-sized organization, developing data science and machine learning models to cater for our clients’ needs.
10 years experience | 2 endorsements
I have experience in a wide range of classical machine learning and more recent deep learning algorithms and have developed machine lear...
I have experience in a wide range of classical machine learning and more recent deep learning algorithms and have developed machine learning solutions to problems in multiple domains.
2 years experience | 1 endorsement
I have used relational databases in my current role since August 2017. I have experience using SQL for data retrieval and data storage....
I have used relational databases in my current role since August 2017. I have experience using SQL for data retrieval and data storage. In the project, the raw data was preprocessed and was stored in a SQLite database for efficient retrieval.
4 years experience | 1 endorsement
I have been working on wide range of machine learning problems. After completing my PhD in February 2016, I did a 1-year postdoc working ...
I have been working on wide range of machine learning problems. After completing my PhD in February 2016, I did a 1-year postdoc working on convolutional neural networks and reinforcement learning. Currently, I am developing index optimization using reinforcement learning.
5 years experience
I have strong skills in algorithms and data structures and can design and implement new data structures.
I have strong skills in algorithms and data structures and can design and implement new data structures.
6 years experience
8 years experience
REVIEWS FROM CLIENTS
(10 reviews)
Removed User
October 2019
Waqas is a great mentor! He put lots of effort in his projects. He delivered before the deadline with no issues. I highly recommend him as he is very knowledgeable and great to work with.
James Napolitano
May 2019
Waqas was excellent! So glad I found him. He delivered the work ahead of schedule and was perfect. Very thorough and professional. Will definitely use him again if I ever need him and would highly recommend him.
Brian James
May 2019
Excellent knowledge around machine learning, algorithms and python. Highly recommended.
Douglas Dan
May 2019
Very nice guy who writes quick, efficient code. Completed what 6 Stanford comp sci students couldn't do in a week in just 50 minutes.
Rabea
May 2019
amazing tutor.
Removed User
April 2019
Waqas really explains the context. Great coach for beginners
Rabea
April 2019
great Tutor.
Rabea
April 2019
amazing tutor.
Rabea
April 2019
Excellent Job in explaining and helping me understand python language. thank you.
Rabea
April 2019
Amazing tutor and very academic.
Mr. Waqas can solve really difficult projects that an average programmers cannot do.
He took his time explaining and detailing.
thanks a million.
SOCIAL PRESENCE
Data-Structures-and-algorithms-in-Python
This repository contains solutions to end of chapter exercises in the book on "Data Structures and Algorithms in Python"
Python
1
0
Practical-ML---Project
HTML
0
0
EMPLOYMENTS
Senior Data Scientist
Data Streams Inc.
2017-08-01-Present
It is a mid-sized Korean company, specializing in data management & Governance products and solutions. Being their lead data scientist, I...
It is a mid-sized Korean company, specializing in data management & Governance products and solutions. Being their lead data scientist, I have utilized tools from Python's data science
stack, relational databases and machine/deep learning to develop data-driven solutions to cater for our clients' needs.
SQL
NumPy
Pandas
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SQL
NumPy
Pandas
Scipy
TensorFlow
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PROJECTS
Traffic volume prediction
Seoul Metropolitan Govt.
2018
Data from individual IoT sensors was pre-processed into a 5-min sampled time series of average travel time for each road. The pre-process...
Data from individual IoT sensors was pre-processed into a 5-min sampled time series of average travel time for each road. The pre-processed and the road infrastructure data was stored into an SQLite database. Multiple linear and machine learning algorithms were compared for lookahead predictions and it was found that TensorFlow-based Long short-term memroy networks (RNN) yielded the best performance that reduced the prediction error to less than 50% of no prediction.
Python
Deep Learning
TensorFlow
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Python
Deep Learning
TensorFlow
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Content-based image retrieval
A fashion Startup
2016
(As a freelance for a local fashion startup) ~ A convolutional neural network was trained on clothing items as a multiclass classificat...
(As a freelance for a local fashion startup) ~ A convolutional neural network was trained on clothing items as a multiclass classification problem. After training, the middle layer of the CNN was used for feature extraction for the images. CNN features were normalized and feature hashing was used for convenient querying. For a given query image, its features are extracted and hashed. The images with the same hashed representation as that of query image are returned as similar images. (2016.10 ~ 2016.12, implemented in Python and TensorFlow, under NDA)
Python
Computer Vision
TensorFlow
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Python
Computer Vision
TensorFlow
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