Baha Tanveer

-Built Machine Learning Models for Fraud Detection on live data.-Researched on cybercrime / different types of fraud.-Researched on AI / ML Models for Fraud Detection.-Implemented 3 Deep Learning models that detect whether or not a customer is a fraudulent customer.-It is a unique research due to 2 main points 1. Models are adapted to work on supervised as well as semi supervised dataset (majority of the literature available is either for semi supervised or unsupervised data) 2. Anomaly Sco

Understood the current data preprocessing process and gave suggestions to automate it- Helped in data pipelining and data models- Conducted meetings with the Fraud Team in US and understood the current Fraud Detection procedure- Researched on machine learning models for Fraud Detection ,Anomaly Detection & Pattern Identification- Proposed few deep learning models for Fraud Detection of digital goods

Data analysis, cleaning and transformation along with process automation and visualization of large data sets. Technical consultant for developing complex data integration processes between Afiniti and its global clients. Developed ETL scripts and optimized MySQL queries,tables and SPs for efficient setup of processes, and sensors/alert strategies to ensure data integrity. Data lead for TMobile; data modelling, set up tasks for resources, make sure the team is delivering their best

The final year project Detect&Diagnose having secured the first position got incubated at Nest I/O (launched by P@SHA with global partners Google for Entrepreneurs and Samsung). Attended various workshops to learn the process of establishing start-up companies. Attended training sessions regarding strategies used to market and approach different companies. Worked on the project (Detect&Diagnose) trying to make the software more efficient. Detect&Diagnose (D&D) will soon be deployed in Indus Hospital.

Created dashboards and configured their entire analytics module using Oracle BI Administration tool. Conducted training sessions on using dashboards and other tools such as Query Report Builder. Gathered insights in line with their business model and processes using Oracle BI Answers. Approved documents and reports before sending to the manager. Wrote SQL queries, procedures and views using Query Report Builder.

Big Data Analytics, Data and Privacy Protection, Distributed Data Analytics, Bayesian Networks, Machine Learning, Planning and Optimal Control

CS ELECTIVES: Data mining, data warehousing,Software Engineering, Network Security, Image Processing, Human Computer Interaction, E-commerce GENERAL ELECTIVES: Calculus - II , Statistical Inference, Logic and Discrete Mathematics, Linear Algebra, Physics - II, Supply Chain Management, Accounts