Welcome

Passionate about crunching big data to solve real world problems

Data Scientist | Quant | Consultant

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Professional Experience

 
 
 
 
 

Quantitative Researcher

Portland House Group

Aug 2016 – Present Melbourne, Australia

Working as quantitative researcher to develop trading models using price data and other data sources.

Some of the responsibilities include:

  • Research and develop Trading strategies
  • Analysing portfolios for various artifacts
  • Portfolios report generation
 
 
 
 
 

Academic Tutor

University of Melbourne

Jul 2012 – Aug 2016 Melbourne, Australia
I have worked as academic tutor (Demonstrator) at the Electrical and Electronics Engineering (EEE) Department of the University of Melbourne for the following courses. Below is the list of courses I worked as tutor.

  1. Probability and Random Models Course (ELEN90054): I worked as senior tutor of the graduate level course offered at EEE department of the University of Melbourne and am running this course for consecutively 4th year. I acquired the skills of class handling, effective communication and teaching. Moreover, I mastered the probability/statistics theoretical concepts and visualized them by Matlab simulations.
  2. Communication Systems (ELEN90057): I have also acted as an academic tutor for Communication System course three times. I helped the graduate students to implement basic communication systems such as AM, FM using TIMS equipment. Very often, I had to debug the circuits to find problems and get it fixed for running.
 
 
 
 
 

Post Graduate Student Research Assistant

University of Melbourne

Jul 2012 – Aug 2016 Melbourne, Australia

I have completed doctorate degree from electrical and electronics engineering department under the supervision of a Professor Robin Evans. My research was based on distributed estimation using Monte Carlo simulation methods considering multi-sensor network and constraints on the communication bandwidth. I have used concepts of Bayesian inference, Monte Carlo methods and estimation to solve the problem of distributed target tracking with constraints on communication bandwidth.

Thesis Title: Target Tracking under communication constraints

 
 
 
 
 

Senior Associate

Samsung C&T, Engineering & Construction Group

Mar 2012 – Jul 2012 Seoul, South Korea

Samsung Construction and Trading (C&T) is Korean Business giant involved in various businesses worldwide. Samsung has the strong presence in Engineering projects ranging from completing Burj Khalifa to building power plants. I worked in Samsung C&T, as a Senior Associate (Consultant) in marketing team of Plant Division.

Some of my responsibilities were to find upcoming global EPC projects, collecting and compiling client’s data and analyzing potential areas of investment. Making corporate business proposals and presentation for Executives based on our research.

I was involved in a team responsible for preparing the initial proposal for Roy Hill Iron ore project back in 2012. This project was completed by Samsung (Joint Venture with other Korean companies) in November 2015. Also, I prepared the reports for LNG terminal projects in India, Malaysia and Singapore. Moreover, I was being trained for studying the Mergers and Acquisitions aspects which might affect our business.

Skills Acquired: Business Analyst, Engineering proposals, Market Analysis, EPC projects, Dealing with Clients, Preparing and presenting reports, Client Research

 
 
 
 
 

MS Research Student

Hanyang University, South Korea

Mar 2010 – Feb 2012 Seoul, South Korea
I worked in Computational Vision and Fuzzy Sytesms Lab at Hanyang university as a graduate research student. I worked on Machine learning, Clustering and pattern classification.
 
 
 
 
 

Associate Engineer

Mobilink

Oct 2008 – Feb 2010 Islamabad, Pakistan
I worked as NOC core expert in MOBILINK from October 2008 to March 2010. Our team was responsible of carrying out the installation and commissioning of the new network entities required for the expansion of the Network. We acted as liaison between planning team and vendors. All the network modification requests were handled by our team nationwide. Also, we provided level-II support for our regional teams.

Online Courses & Tutorials

Spark for Machine Learning & AI

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Apache Spark Deep Learning Essential Training

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Deploying Scalable Machine Learning for Data Science

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Dockers for Data Scientist

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Building RESTful APIs with Flask

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Building Deep Learning Applications with Keras 2.0

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Programming with Python

Completed a two python course at University of Melbourne while working on Nectar Cluster
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The Unix Shell

Understanding the principles of bash shell
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Databases and SQL

Understanding the working of mySQL
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Programming for Everybody (Getting Started with Python

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Technical Skills

Domain Knowledge

Exploratory Data Analysis, Predictive Models, Feature extractions, ML data pipelines, time series forecasting

Cloud Services

Google Cloud, BigQuery , Hosting ML Models, Firebase, Google Colab

Python Frameworks

Data Science Libraries, pandas, jupyter lab/notebooks, sphnix documentation, pycharm IDE,

Machine Learning Frameworks

Machine Learning Pipelines, Sklearn, SHAP, Tensorflow, Pytorch

Distributed Computing

Spark, pyspark, Hadoop(HDFS), Jupyter notebooks on Spark

Visualisation Tools

Plotly-express, plotly, Dash, matplotlib, seaborn, bokeh

Version Control

Git, git flow, GitHub, GitLab,

Hobby

Django, Web Crawler, Solidity(Ethereum Smart Contract Language), Flutter(Mobile App development), React.js, Gatsby.js, npm

Recent Posts

This is the collection of notes about using Gooogle Cloud Platform (GCP) for machine learning.

Due to rapid increase in unstructured data, the demand for Databases is also increasing and almost every application uses some kind of …

While learning blockchian and ethereum solidity programming, I compiled a list of tools and roadmap.

In this brief tutorial, we learn how to train, test, save and predict using saved model using deep learning with tensorflow

Spark machine learning to handle big data and develop scalable model to solve real world problems.

Contact

  • Melbourne, Australia