Zohair Zahid

Analyze large volumes of data related to Quality Management and Customer Service (CRM). Research on large volume of production data using SAS. Implementing a prototype for Chatbot to handle FAQ for website. Introducing Microsoft HoloLens as a solution for Inspection and Validation. Collaborating with external company to implement Image recognition via Google Cloud Platform. Making Dashboards on Google Data Studio using Google Cloud storage and Dataprep.

Datamining to identify faults in Industrial sensor data. Time Series Forecasting using Machine learning. Implementing CNN and LSTM using Tensorflow. Forecasting on various datasets like Energy demand and production, traffic volume and weather . Participating in KDD cup 2017 to predict traffic volume 15 min ahead of time, placed at 32nd position out of 3500

Reporting and Analysis of TAX data by making Dashboards in Microsoft Power BI and Qlik VIew. Developing a web-tool to assist tax filing using JavaScript, which involves getting data from Microsoft Access Database

Data Mining: Determine Feature importance óf Financial Fraud Transactions Data Analytics using neo4j on Graph databases. Successfully made an application which was used to search and perform different operations on the graph database using Javascript and AngularJS on the client side. Backend was implemented with the help of Python Tornado Server.

Worked on a project of Optical Character Recognition. The main purpose of the project was to digitize old books. Tasks: Collecting and creating data sets for training of neural network for OCR Simulation of real environment data through Python script for Verification and Validation Using OpenCV in Python

Worked on a project of Software defined radio (SDR): TI’s DM6446 (C64x+ DSP): Handling of data between Framework and Physical layer through DMA, ASP, hardware and software interrupts. Xilin-spartan6: RF-PA configuration, frequency hopping implementation, Configuring and testing Audio-Codec, DAC and ADC. Development, debugging and testing of physical layer by using Xilinx ISE design tool, Chipscope, Matlab, Code Composer Studio and emulators for real time debugging