Hi i am Nasir Mahmood

AI and NLP Specialist from Canada

about

A small introduction about my self

Nasir Mahmood, PhD

Machine Learning Engineering from Canada

With over 15 years of experience as an AI and NLP expert, I specialize in providing consulting and development services that empower businesses to harness the potential of data. Leveraging my extensive background in the banking, insurance, and marketing sectors, I deliver tailored solutions focused on cost reduction, enhanced efficiency, and accelerated growth. Based in Canada, I am passionately committed to pushing the boundaries of AI and NLP technology, helping clients achieve remarkable success.

My motivation is fueled by the support and inspiration I receive from my family, which includes my wife, two sons, and daughter. Their encouragement drives me every day to surpass the limits of what I can achieve and contribute to the field.

view my work

Data Science

Machine Learning

NLP/NER

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What i do

DS & ML Services

WORK EXPERIENCE

resume

2018 - Present

work

Freelance

Data Science Consultant

    • • Customized data-driven solutions tailored to your business needs
    • • Expert guidance on machine learning and AI implementation strategies
    • • Scalable, efficient, and cost-effective data analytics services

Sep 2019 - May 2021

work

Sun Life Canada

Senior Data Scientist

  • • Spearheaded the integration of ML into customer acquisition workflows
  • • Managed the migration of data and analytics processes to AWS
  • • Streamlined lead assignment to financial advisors
  • • Utilized SAS, Python, NLP/NLTK, and AWS SageMaker

2018-2020

work

Sheridan College

Predictive Analytics, Machine Learning & Big Data

  • • Instructed in predictive analytics and machine learning
  • • Guided students with hands-on advice for ML project execution
  • • Assisted professionals in achieving a seamless transition to data science careers

Feb 2018 - Sep 2019

work

Royal Bank of Canada (RBC)

Data Scientist - NLP, Machine Learning & Advanced Analytics

  • • Collaborated with cross-functional ML/AI teams
  • • Developed attrition, market share, and NLP models
  • • Reduced customer attrition via service support improvements
  • • Utilized Python, R, Dataiku, and NLP/NLTK

2017-2018

work

Bell Network Big Data

Data Science and Machine Learning

  • • Assisted in developing ML capabilities
  • • Created segmentation, health prediction, and call & truck roll models
  • • Enhanced support team efficiency via real-time anomaly detection
  • • Used Python, R, pySpark, Hive, Impala, and SQL

2012-206

work

American Express Canada

Data Science and Analytics

  • • Managed projects in infrastructure, models, and algorithm optimization
  • • Developed text analytics, cognitive search, and segmentation models
  • • Languages: R, Python, pySpark, Mlib, SQL
  • • Tools: Hadoop/MapR, HBase, Eclipse

2014-2015

Education

Certifications

Data Science Specialization

A 9-course specialization by Johns Hopkins University on Coursera. Specialization Certificate earned on December 22, 2014

15.071x: The Analytics Edge

A course of study offered by MITx, an online learning initiative of The Massachusetts Institute of Technology through edX.

Statistics in Medicine

A course of study offered by Stanford Online, an online learning initiative of Stanford University, through OpenEdX, the leading open source online learning platform.

Matrix Algebra and Linear Models

A course of study offered by HarvardX, an online learning initiative of Harvard University through edX.

Statistics and R for the Life Sciences

A course of study offered by HarvardX, an online learning initiative of Harvard University through edX.

2006-2010

Education

University of Hamburg, Germany

PhD, Computational Biology

During PhD research I worked on protein structure prediction, a classical probelm from computational biology. I developed low-resolution coarse grain force fields, which do not involve physical model or Boltzmann statistics. They rather use a mixture of Bayesian probabilities from normal and discrete distributions of features of known proteins. Consequently, a ratio of probabilities provides acceptance criterion for Monte Carlo method in prediction simulations. For more details, please check out my doctoral dissertation and presentation slides.

2005-2006

Education

Cologne University Bioinformatics Center, Germany

Postgrad. Diploma, Applied Bioinformatics

During 1-year instensive program, I worked on a mandatory research project (in addition of course work) with focus on protein structural alignment, an NP-hard problem. I analyzed performed of existing algorithm and then modified by advancing optimization step. My contribution led to a significant increase in overall algorithm performance. Also, I benchmarked new algorithm against existing methods. For more details, please check out my project report and presentation slides.

2004-2007

Education

Otto-Von-Guericke University, Magdeburg, Germany

M.Sc. Computational Visualistics

During research thesis, I worked on implementation and benchmarking of a document retrieval system for a handwriting device - PC Notes Taker (PCNT). PCNT device is believed to be competitive compared to other device which we had already tested and benchmarked. I extended features of the document retrieval system by implementing a subtype of triangular grid features and compared its results with those of existing features. It was found that new features were slightly poorer but closer to square grid features. For more details, please check out my master thesis and presentation slides.

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Get in touch

Contacts

Feel free to contact me, I love to interact with people who have interesting ideas and/or questions. I always reply back to non-spam emails.