Mir Nawaz

Perform design and development of Data science and AI Projects according to customer specifications. Develop cost reduction initiatives while maintaining quality and productivity.
Provide assistance to customers and provide feedback for improvements.

Identifying the data-analytics problems that offer the greatest opportunities to the organization and determining the correct data sets and variables.
Collecting large sets of structured and unstructured data from disparate sources and cleaning and validating the data to ensure accuracy, completeness, and uniformity.
Devising and applying models and algorithms to mine the stores of big data and analyzing the data to identify patterns and trends.
Interpreting the data to discover solutions and opportunities communicating findings using visualization and other means.

Identifying the data-analytics problems that offer the greatest opportunities to the organization and determining the correct data sets and variables.
Collecting large sets of structured and unstructured data from disparate sources and cleaning and validating the data to ensure accuracy, completeness, and uniformity.
Devising and applying models and algorithms to mine the stores of big data and analyzing the data to identify patterns and trends.
Interpreting the data to discover solutions and opportunities communicating findings using visualization and other means.
Project: Supermarket Sales Analysis - The purpose is to analyze various features and identify the strength and weakness of the company, maximizing profits, minimizing losses and giving strategic decisions for the future. $50,000 could be made extra in next four years by altering certain features.
Project: Basket Analysis based on Customer’s Behavior - Systematically identify item-sets that occur frequently in the data set with a support greater than a threshold and design a new store layout based on customer behavior. By implementing Apriori Algorithm we found 92.35% transactions have more than one item in the basket and 476 times two items were sold together.
Project: End to End Credit Card Fraud Detection - The main goal was to build an end-to-end credit card fraud detection system using Machine learning. Around 97% accuracy and recall 90% was obtained using Logistic Regression with balanced class weight.
Project: Real Time Covid-19 Face Mask Detection - The aim of this project is built a real time detector that will automatically detect whether a person is wearing a mask or not.

• Identifying the data-analytics problems that offer the greatest opportunities to the organization and determining the correct data sets and variables. • Collecting large sets of structured and unstructured data from disparate sources and cleaning and validating the data to ensure accuracy, completeness, and uniformity. • Devising and applying models and algorithms to mine the stores of big data and analyzing the data to identify patterns and trends. • Interpreting the data to discover solutions and opportunities communicating findings using visualization and other means. Project: Supermarket Sales Analysis • The purpose is to analyze various features and identify the strength and weakness of the company, maximizing profits, minimizing losses and giving strategic decisions for the future. • $50,000 could be made extra in next four years by altering certain features. Project: Basket Analysis based on Customer’s Behavior • Systematically identify item-sets that occur frequently in the data set with a support greater than a threshold and design a new store layout based on customer behavior. • By implementing Apriori Algorithm we found 92.35% transactions have more than one item in the basket and 476 times two items were sold together. Project: End to End Credit Card Fraud Detection • The main goal was to build an end-to-end credit card fraud detection system using Machine learning. • Around 97% accuracy and recall 90% was obtained using Logistic Regression with balanced class weight. Project: Real Time Covid-19 Face Mask Detection • The aim of this project is built a real time detector that will automatically detect whether a person is wearing a mask or not. • This project is implemented in TensorFlow and OpenCV using MobileNet V2 architecture and got an accuracy of 98%.