Summary
Overview
Work History
Education
Skills
Software
Certification
Additional Information
Accomplishments
Timeline
GeneralManager
Najam Ul Hassan Arshad

Najam Ul Hassan Arshad

Data Scientist/Analyst
Southampton,Hampshire

Summary

Enthusiastic Engineer eager to contribute to team success in a data scientist/Analyst role, through hard work, attention to detail and excellent organisational skills. Clear understanding of Data Science, Artificial Intelligence, Technology and Business Management. Motivated to learn, grow and excel. I want to bring my strong sense of dedication, motivation, and responsibility to a good respectable organisation, and to utilise my Data-Intensive Analysis, Engineering and Business Management qualifications obtained through University of St. Andrews and University of Leeds.

Overview

4
4
years of professional experience
6
6
years of post-secondary education
1
1
Certificate

Work History

Underwriting and Assurance Analyst

First Central Group
Haywards Heath, West Sussex
2023.03 - Current

MSc. Projects

University of St Andrews
St Andrews
09.2021 - 09.2022

Some of the Projects completed are:

UK's Cultural Events Knowledge Graph and web-based app

Final dissertation project for MSc. at St. Andrews. The main objectives achieved from this project are:

  • Created an ontology using data models for events and places for representing the information in the data set.
  • Created a Knowledge graph (KG).
  • Designed of SPARQL queries to query the KG.
  • Then developed a web platform to interact with this List Knowledge graph for extracting and displaying information visualizations and graphs.

links:
1. Code (notebooks): https://github.com/najmi050/KnowledgeGraphDataThistle
2. Ontology: https://w3id.org/ce/

PySpark project for a Movie recommendation system

The movieLens dataset was used to allow the user to search different movies according to year, movie ratings and most watched. A movie recommendation system was also developed using K-means clustering to give recommendation according to the user's taste.

Fraud detection Project (IEEE-CIS Fraud Detection)

Used XGBoost Binary classification algorithm, in R, for fraud detection to get 93% accuracy on the hidden test data set in the Kaggle competition.

link: https://github.com/najmi050/FraudDetectionProject

Car Price prediction Project

Used Random Forest Regression, in R, to get 79% accuracy for a university module's project.

link: https://github.com/najmi050/CarPricePrediction

COVID-19 Global Data Visualization project

A heat bubble map using d3.js and mapbox showing the affected areas of the world by bubbles or circles since the start of the pandemic. The visualization is interactive and can be used to view the spread since the start of the pandemic. It also allows a user to hover over the map to get the exact number affected and deaths in the countries.

link: http://covidviz.rf.gd

Vector Drawing app

A simple vector graphics drawing program using Java Swing. The program used the Model–View–Controller (MVC) design pattern to give the features such as:

  • Free hand writing
  • Drawing straight lines
  • Drawing rectangles
  • Drawing ellipses
  • Drawing diagonal crosses (see the figure below)
  • Undo/redo
  • Different colours

A simple Java web server which can respond to some HTTP requests

The server takes two command-line arguments: the directory from which your server will serve documents to clients; and the port on which your server listens.

Features include:

• The server supports and respond correctly to HEAD requests.

• The server supports and respond correctly to GET requests.

• The server returns HTML documents requested by a client.

• The server responds with appropriate error messages when non-existent services or resources are requested.

• Returns binary images (GIF, JPEG and PNG).

• Multithreading – supports multiple concurrent client connection requests up to a specified limit.

• Logging – each time requests are made, log them to a file, indicating date/time request type, response code etc.

• Supporting other methods OPTIONS and DELETE.

MSc. Final Dissertation

University Of Leeds
Leeds
09.2019 - 09.2020

MSc. Research Project: Terahertz for diagnosing Cancer

Researched the use of Terahertz for diagnosing Cancer, and also developed a business model for bringing it to the market.

Education

Master of Science - Data-Intensive Analysis

University of St Andrews
St Andrews
09.2021 - 09.2022

Master of Science - Engineering, Technology And Business Management

University of Leeds
Leeds
09.2019 - 09.2020

Bachelor of Science - Computer Engineering

Comsats University
Islamabad
03.2015 - 01.2019

Skills

    Deep Learning

undefined

Software

Python

R

SAS

Java

Tableau

D3js

Matlab

SWIFT (IOS)

Python libraries: TensorFlow, Keras, Pandas, SciKit, plotly, rdflib

SPARQL

RDF

Certification

Machine Learning Specialisation, University of Washington. An Online Specialisation Certification, earned after completing 4 courses.

Additional Information

Courses Studied:

  • ADVANCED DATA ANALYSIS
  • INTRODUCTION TO DATA ANALYSIS
  • SOFTWARE FOR DATA ANALYSIS
  • APPLIED GENERALIZED LINEAR MODELS
  • KNOWLEDGE DISCOVERY AND DATA MINING
  • INFORMATION VISUALIZATION
  • DATA INTENSIVE SYSTEMS
  • PROGRAMMING
  • DIGITAL MEDIA ENGINEERING
  • ROBOTICS
  • Object Oriented Programming
  • Supply Chain Management
  • MANAGING FOR INNOVATION
  • STRATEGIC MANAGEMENT

Accomplishments

  • Awarded Medal for Dissertation in MSc Data-Intensive Analysis by University of St Andrews (2022), awarded to the student with the best dissertation in the programme.
  • Awarded International Masters scholarship for Computing and Engineering Excellence by University of Leeds (2020).

Timeline

Underwriting and Assurance Analyst

First Central Group
2023.03 - Current

Master of Science - Data-Intensive Analysis

University of St Andrews
09.2021 - 09.2022

MSc. Projects

University of St Andrews
09.2021 - 09.2022

Master of Science - Engineering, Technology And Business Management

University of Leeds
09.2019 - 09.2020

MSc. Final Dissertation

University Of Leeds
09.2019 - 09.2020

Bachelor of Science - Computer Engineering

Comsats University
03.2015 - 01.2019

Machine Learning Specialisation, University of Washington. An Online Specialisation Certification, earned after completing 4 courses.

May 2021
Najam Ul Hassan ArshadData Scientist/Analyst