Anwar Mughal

Assistant Professor of Statistics & Data Analytics

Talent

Lahore, Lahore DistrictMember since August 2, 2023

Hire this person

Send a job offer directly to this candidate

About

I am an accomplished Assistant Professor of Statistics and Data Analytics with over 15 years of extensive teaching experience at the university level. My passion for data-driven insights and statistical methodologies has driven my commitment to imparting knowledge to students and shaping the next generation of data analysts and statisticians. I have a strong academic background, coupled with practical industry experience, which allows me to bridge the gap between theory and real-world applications.

Experience

1. Assistant Professor of Statistics and Data Analytics

Forman Christian College (A Chartered University) | Lahore, Pakistan

2009 – Present

Teaching Statistics and Data Analytics courses to BS and MS classes, Research Supervision, Data Analytic consultancy, Curriculum Review and Design, Coordinator of departmental QA, Coach for Professional Development Program, Member hiring committee, Member MS admission committee. Organizing workshops and seminars on Statistical methodologies and data analysis.

2. Consultant and Trainer for Quality Assurance techniques

PIQC Institute of Quality | Lahore, Pakistan

2008 – 2009

Training and Consultancy for ISO 9001 QMS and Six Sigma Green and Black Belts, Quality Audits, Supervision of Six Sigma projects, Teaching MS Quality Management classes, Internal review and evaluation of thesis and reports.

3.Lecturer Statistics and Mathematics

St. Anthony’s College | Lahore, Pakistan

2002 – 2008

Teaching Statistics and Mathematics to HSSC, O & A Level classes.

4.Lecturer Statistics

University of South Asia Formerly American National College | Lahore, Pakistan

1999 – 2002

Teaching Statistics to HSSC and BCS.

5. Senior Officer Underwriting and Analysis

EFU Life Assurance Ltd | Lahore, Pakistan

1994 – 1999

Underwriting Group Insurance business, Policy Renewals, Claims handling, Client services, Experience Rating and Analyzing Actuarial data obtained from clients.