Rao Waqas

Data Science Engineer at Metis International Limited
  • Claim this Profile
Contact Information
Location
Pakistan, PK

Topline Score

Bio

Generated by
Topline AI

0

/5.0
/ Based on 0 ratings
  • (0)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

No reviews to display There are currently no reviews available.

0

/5.0
/ Based on 0 ratings
  • (0)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

No reviews to display There are currently no reviews available.
You need to have a working account to view this content. Click here to join now

Credentials

  • Python for Everybody (complete specialization)
    University of Michigan
    Nov, 2021
    - Sep, 2024
  • Ask Questions to Make Data-Driven Decisions
    Google
    Sep, 2021
    - Sep, 2024
  • Foundations: Data, Data, Everywhere
    Google
    Mar, 2021
    - Sep, 2024
  • computer vision
    Kaggle
    Mar, 2021
    - Sep, 2024
  • Python
    Kaggle
    Feb, 2021
    - Sep, 2024
  • Marketing in a Digital World
    Coursera
    Jun, 2020
    - Sep, 2024
  • Linux for Developers
    The Linux Foundation
    May, 2020
    - Sep, 2024
  • Computer Vision - Object Detection with OpenCV and Python
    Coursera
    Apr, 2020
    - Sep, 2024
  • Open Source Software Development Methods
    Coursera
    Apr, 2020
    - Sep, 2024
  • Registered Engineer
    Pakistan Engineering Council

Experience

    • Pakistan
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Science Engineer
      • Jan 2021 - Present

      • Conducted a driver behavioral analysis project using K-means pattern to identify driver behavior patterns and recommend driver training programs. • Conducted a predictive maintenance project on generators using statistical analysis to identify patterns and predict failures to recommend maintenance actions. • Conducted a COVID-19 data analysis project using Power BI to provide insights and recommendations to policymakers and healthcare professionals for COVID-19 response and control. • Design and implement end-to-end machine learning pipelines on IoT devices, from data source collection and training to deployment and broadcasting results of machine learning inference over the internet. • Conduct statistical analysis including confidence intervals and hypothesis testing for computer vision models, speed prediction using linear regression, COVID prediction using logistic regression, and weather prediction using naive Bayes theorem. • Work on deep learning projects such as custom image classification, custom object tracking for vehicles using NVIDIA Tensorrt framework, automatic number plate detection using OCR and object detection in parallel, and driver drowsiness detection system using pose estimation of Tensorflow Lite. • Conduct machine learning tasks such as churn prediction using K-means, customer segmentation using K-means algorithm, and Flask APIs for inference machine learning models. • Automate tasks such as Docker containers to scale codes on multiple devices, scheduling Cron Jobs on restart, automatic restart of device on failure, Flask API to inference machine learning models, and heartbeart packet to ensure the connectivity of devices over the internet. • Utilize cloud services, such as Azure Video Analyzer, Azure Custom Vision, Azure Face Cognitive services, Azure Container Registry, Azure IOT Edge, and Azure Device Provisioning System. • Use programming languages and tools such as Python, Bash, Excel, and Google DataStudio. Show less

    • Brazil
    • Construction
    • Data Analytic
      • Nov 2020 - Jan 2021

      • Data collection using open source sofwares • Data visualization in Excel, Power bi, Google Data Studio, Python • Sharing insights using reports and presentation • Data collection using open source sofwares • Data visualization in Excel, Power bi, Google Data Studio, Python • Sharing insights using reports and presentation

Education

  • International Islamic University, Islamabad
    BS Electrical Engineering, signal and data science
    2016 - 2020

Community

You need to have a working account to view this content. Click here to join now