Abdul Rehman Liaqat

Working on: -Translating business objectives to ML objectives and data metrics. -Data Access from Kafka streams, Hadoop, Spark, Cassandra DB and MySQL DB using Scala and Python. -Data and Feature Engineering pipeline generation -Machine Learning model design using Time Series, NLP and Computer Vision data -Cloud migration to AWS using Terraform -Optimizing training and deployment through AWS sagemaker

Working on: 1- Machine Learning models programming for a data product using Python, SQL and little bit of Scala. 2- API (flask, uwsgi, nginx) programming for the same. 3- Docker based workflow for portable and scalable product. 4- Automation of Machine Learning workflow. 5- Data Analysis, ETL and Dashboard design with R and Shiny server. 6- A/B testing

1- Exploratory Data Analysis to resolve issues using R, Shiny Server (and Python, Pandas, Numpy, Matplotlib alternatively) with Data Access from SQL and Live streams of Kafka. 2- New Data Generation and storage to achieve further insights. Automated(time based and event based) scripts to acquire, clean and store data. 3- Automated Dashboards generation using R and Shiny Server. 4- Machine Learning models programming for a data product.

Designing and deploying industrial automation systems in the chemical manufacturing plant. Predictive and preventive maintenance of machines based upon sensor data and fault history.

Data analysis, visualization and reporting of telecommunication networks' faults. Predictive and preventive maintenance of fiber and broadband communication network faults. Feasibility design and deployment of fiber networks.

Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Distributed Data Analytics, Business Analytics, Geographical Information Systems (GIS), Modern Optimization Techniques

Chinese Language

Industrial Process and Control, Digital Signal processing and System Design, Power Electronics