Muhammad Sultan

Experienced Data Scientist / Data Analyst with strong data analysis, programming, mathematical, statistical and analytical skills. 

KEY SKILLS:

Programming:   Python, R, Structured Query Language (SQL)
Data Analytics:  NumPy, SciPy, Pandas, Excel 
Data Visualizations:  Matplotlib, Seaborn, ggplot2, Tableau
Machine Learning:   Scikit Learn, Caret 
Deep Learning:  Neural Networks, Keras,TensorFlow
Databases:   Microsoft SQL Server, MySQL Server, SQLite
Cloud Computing:  Microsoft Azure
Mathematics: Algebra, Calculus, Differential Equations, Mathematical Modeling, Fluid Dynamics
Statistics:   Descriptive and Inferential Statistics, Statistical Data Analysis,  Statistical Methods & Modeling
 

• Adjunct Instructor - Data Analytics at SAIT, Calgary, Canada     

(January 2022 – August 2022) 

• Course(s) Taught
  • CPRG 104: Programming with Python
  • CPRG 109: Python and Data Analytics
  • MSFT 115: Microsoft SQL Queries
• Responsibilities
  • Prepared and presented lessons, lectures, assignments, quizzes, exams, lab activities, and lab demonstrations for learners.
  • Maintained records for the purposes of grading, assessing professionalism and tracking attendance.
  • Managed the classroom or lab to ensure a positive learning environment.
  • Showed personal interest in the learner and create a climate conducive to optimal learning.
  • Provided on-going support, guidance, and advice to students.
• Adjunct Facilitator & Tutor at Columbia College, Calgary, Canada           

(Apr 2015 - Dec 2015) 

• Course(s) Taught
  • Math 102: Intermediate Mathematics for Professionals
• Responsibilities
  • Taught various mathematics topics including Algebra, Statistics, Trigonometry, and Graphs & Charts to the academic preparation Grade 12 students.
  • Employed a broad range of instructional techniques (Case studies, discussions, group work, presentations, and demonstrations) to develop student’s interest and maximize the learning output.
  • Prepared daily tests, assignments, and exams for students.
  • Provided intensive academic support for students from diverse backgrounds.
  • Offered after-school tutoring to aid struggling students to improve their academic performance.

Data Analyst at Onstream Pipeline Inspection, Calgary AB (Oct 2017 – Present) 

• Perform QA assessment of MFL and Geometry data recorded by Onstream inspection tools and interpret it to determine internal and external threats (corrosion, cracks, mechanical damage) which can impair pipeline integrity.
• Create and execute SQL queries for data extraction from relational databases.
• Perform data wrangling, data analysis, and data visualizations in Python.
• Develop machine learning models for feature classification.
• Create and automate client specific reports using Python programming.
• Collaborate with management and various teams to discuss analysis findings and suggested improvements.
• Develop presentations and training materials for clients and new hires.
• Communicate analysis findings with the clients and assist with post analysis queries.                      

Data Analyst at Baker Hughes, a GE company Calgary AB (Apr 2015 – Oct 2017) 

• Preprocessed the Geometric and MFL pipeline inspection data recorded by Baker Hughes inspection tools from oil and gas pipelines.
• Used relevant software to properly locate all Girth Welds, Seam Welds, Structures, Wall Thickness changes, Bends, and AGMs in the pipeline.
• Identified and classified various types of corrosion features inside and outside of the pipeline surface.
• Compared the analysis results with previous ILI inspections if applicable.
• Built final analysis reports for clients and help them in understanding the results.
• Participated in team and management meetings to discuss and improve data analysis process.                  

Material Scientist: Argile Analytica Inc, Calgary, Alberta (June 2014 – Feb 2015)

• Used the Dean Stark apparatus for bitumen extraction and to calculate the water content in the oil sand samples.
• Performed X-Ray powder diffraction for the identification and quantification of all minerals present in soil and rock samples.
• Studied fluid density and behavior using density meter and rheometer.
• Followed WHMIS protocol to implement workplace health and safety guidelines.
• Organized data findings and prepared reports for the clients.                               

Data Analyst: General Electric (GE), Calgary, Canada (June 2014 – Feb 2015)

• Studied the pipeline manufacturing process, kind of welds, pipeline components, repair types, and various kinds of pipeline coatings.
• Pre-processed the pipeline in-line inspection data and assessed its quality. 
• Flawlessly executed and interpreted the signal data recorded by GE inspection tools to identify and classify the defects in the pipeline.
• Highlighted the defects in the pipeline e.g., Metal Loss, Cracks, Corrosion, Inclusion   Like, Installation, Geometry, and Weld Anomalies etc.
• Produced preliminary and final inspection reports.

EDUCATION

Dec. 2008-Oct. 2012              PhD. Physics - University of Pau (UPPA), Pau France

Sep. 2019-Dec. 2021             Master of Data Science and Analytics - University of Calgary,  Calgary Canada

Jan. 2019-Aug. 2019             Post Diploma Certificate in Data Management and Analytics - Bow Valley College                                                           Calgary, Canada

May. 2006-Jun. 2008             M.Phil. Mathematics - Department of Mathematics, University of Engineering and                                                         Technology (UET), Lahore Pakistan

Sep. 2002-Oct. 2004             M.Sc. Mathematics - Department of Mathematics, University of Engineering and                                                            Technology (UET), Lahore Pakistan