Summary
Overview
Work History
Education
Skills
Timeline
JAWAD SALEEM

JAWAD SALEEM

Summary

Experienced Data Scientist known for delivering data-driven solutions through advanced machine learning models. A self-motivated, quick learner with expertise in programming, including Android apps with millions of downloads. Proficient in IoT software development and versatile with various operating systems. Successful in team-based and self-managed projects, managing full software development lifecycles and enhancing application performance. Committed to driving data-driven solutions and project success.

Overview

6
6
years of professional experience
53
53
years of post-secondary education

Work History

Software Developer

Union Insurance Services
08.2022 - 08.2023
  • Leveraged AWS SDK, SAM, Lambda, Elastic Beanstalk, CodeCommit, and DynamoDB to accelerate development and deployment processes
  • Reduced deployment time by 25% through streamlined utilization of AWS Elastic Beanstalk
  • Successfully migrated and cleaned 500GB of data, enhancing data quality by 30%
  • Integrated AI/ML services, enhancing system intelligence and enabling predictive analytics
  • Developed 2 new solutions that exceeded project requirements, resulting in a 20% increase in user engagement
  • Reduced post-deployment defects by 30% through meticulous testing and iterative improvements.

Fake, Detection Using
09.2021 - 12.2021
  • Testing data sets to identify the accuracy of the algorithm
  • Testing the bilingual algorithms for two languages (Urdu and English)
  • Presenting comparison between different algorithms to show the performance for different algorithmic accuracies when detecting fake news
  • Techniques used:
  • Natural Language Processing (NLP)
  • Spot Vector Machines (SVM)
  • Random Forest
  • Logistic Regression
  • Multinomial Naïve Bayes
  • K-Nearest Neighbor
  • In this project, I proposed a model in which I tried a series of machine learning models to detect fake news
  • During the project, all the algorithms were tested for accuracy, and data was presented in the paper.

Software Engineer

Obelisk Immersive Media
09.2018 - 10.2020
  • Designed and built 10+ advanced Android applications, resulting in a total of 2 million downloads on the Google Play Store
  • Achieved an average user rating of 4.5/5 for the developed applications, indicating high user satisfaction
  • Developed and integrated 3 custom Android SDKs, which were utilized in-house and externally
  • Improved application performance by 20% through the optimization of custom SDKs
  • Created 5 APIs using Open Source and third-party APIs, enabling seamless data exchange between applications.

IrisPro - Android Application
11.2018 - 03.2019
  • Requirement capture, design, and build of the application and testing
  • Throughout the project complete code maintenance and code reviews
  • Development of APIs and creating software documentation
  • Reappraisal scan performance for new APIs and deprecating the old APIs
  • Creating SDKs for the application
  • This application was focused on delivering real-time statistics on the events that were generated using the NFC scanning of the handheld devices used by the security guards.

Level Android Developer

Chimera Innovation
02.2018 - 07.2018
  • Managed the full software development lifecycle for 5 client projects, including requirement capture, resulting in on-time project delivery
  • Designed and developed 3 Android applications, meeting client specifications and achieving a 90% client satisfaction rating
  • Integrated these libraries into 4 different projects, resulting in a 40% reduction in code duplication
  • Provided debugging support for 8 applications, reducing application downtime by 20% and enhancing user experience
  • Resolved 50+ errors, resulting in a 25% reduction in customer-reported issues.

IntelliBit - Internee
06.2017 - 09.2017
  • Contributed to the development of software for 5 IoT devices, gaining hands-on experience in IoT application development
  • Worked on configuring and programming 3 embedded devices, including Raspberry Pi, Node MCU, and Arduino
  • Collaborated on the successful deployment of 2 IoT projects utilizing these devices, resulting in positive client feedback
  • Developed applications using various operating systems, including Raspberry Pi OS, Windows IoT OS, and lightweight RTOS
  • Assisted in the development of 3 IoT applications, improving cross-platform compatibility by 20%
  • Projects

Education

Master of Science - Data Science and Its Applications

University of Essex, Colchester, Essex
Data Scientist with experience in advanced data analysis, data visualization, data mining, big data, and machine learning techniques. Involved with Python and R open-source community and passionate about deep learning.

Bachelor of Science - Software Engineering

University of Gujrat

AWS Certified Cloud Practitioner - undefined

Certified Android Application Development -

EVS, Lahore
08.2016 - 11.2016

Skills

447466522765undefined

Timeline

Software Developer - Union Insurance Services
08.2022 - 08.2023
- Fake, Detection Using
09.2021 - 12.2021
- IrisPro - Android Application
11.2018 - 03.2019
Software Engineer - Obelisk Immersive Media
09.2018 - 10.2020
Level Android Developer - Chimera Innovation
02.2018 - 07.2018
- IntelliBit - Internee
06.2017 - 09.2017
EVS - Certified Android Application Development,
08.2016 - 11.2016
University of Essex - Master of Science, Data Science and Its Applications
University of Gujrat - Bachelor of Science, Software Engineering
- AWS Certified Cloud Practitioner,
JAWAD SALEEM