TALHA JAVED

TALHA JAVED

Class of 2020
BS Computer Science
Minor: Mathematics

Aspiration Statement

“I am looking forward to working in the computer science-related field after graduation. Once I have acquired some work experience, I will apply for higher studies abroad.”

Core Skills

  • C , C++, ,Python, Scratch
  • SQL, LaTeX, C#, HTML
  • Linux, Microsoft Word, Urdu Inpage
  • Autodesk Maya, Adobe Photoshop, Adobe After Effects
  • OrCAD, Cinema4d, Maple, MATLAB, Octave
  • VBA, Tensorflow, Keras, R
  • Artificial Intelligence (AI)

Academic Awards / Achievements

  • HU TOPS 100% Scholarship

Experience

Leadership / Meta-curricular

  • Habib University Artificial Intelligence Club, Anime Club and Tachi - Member
  • Habib University Sports and Recreational Club - Deputy Director Registrations
  • Certification in CompTIA Network+ - Cybrary
  • Certification in Adobe Photoshop - Udemy
  • Data Manipulation with dplyr - DataCamp
  • Bayesian Statistics - Coursera

Internship / Volunteer Work

  • Afiniti - Data Analyst (Jun 2020 -Present)
  • Siemens - SI DS Business Unit Intern
  • GlaxoSmithKline - GSK Production System Intern
  • Bank Alfalah - Information Technology Intern
  • Habib University - Teaching Assistant - Programming Fundamentals

Publications / Creative Projects

  • Comparison of several optimization algorithms i.e. Simulated Annealing, Ant Colony Optimization, Evolutionary algorithms for solving Travelling Salesman Problem and Frequentist Statistical Inference based on the acquired results from the algorithms.
  • Automatic carton verification system to point out any differences between standard and sample cartons, leaflets and packets using OpenCV and Python.
  • Image description using a combination of Recurrent Neural Network and Deep Convolutional Neural Networks.

Final Year Project

Project Title

Driver Scoring System

Description

Using data from inexpensive IMU and GPS sensors, we identify and classify risk manoeuvres, and consequently score the drivers, with the aim of quantifying driver behaviour. Using this data, we intend to provide targeted feedback, to drivers, to help improve their fuel efficiency and reduce their exposure to risk. (Group Project Interdisciplinary)

Project Pictures