Pam Nagarajappa, P.Eng.

Pam Nagarajappa, P.Eng. Email and Phone Number

Founder @ Calgary, AB, CA
Calgary, AB, CA
Pam Nagarajappa, P.Eng.'s Location
Greater Calgary Metropolitan Area, Canada
About Pam Nagarajappa, P.Eng.

Pam Nagarajappa, P.Eng. is a Founder at AIFeatures. Colleagues describe her as "Pam played a significant role in the growth, maturity and success of the Enterprise Analytics business at Suncor. She is a very high caliber data scientist with the ability to deliver high quality individual work but also t coach and build capability in others. Her deep domain expertise has been invaluable to me over the years and her role as expert advisor to the whole leadership team has only grown over time. Pam invests heavily in the development of her skill set and is generous in how she share sit with others. Her quiet and humble disposition is always welcoming and can surprise the uninitiated when they experience her drive and vision. Pam would be a strong addition to any digital team and I look forward to working with her again." and "I worked closely with Pam for almost four years on several projects. She is one of the best full stack data scientists and machine learning engineers that I know. She can work on all stages of data science projects from data cleaning and exploratory data analysis to model deployment and management. Not only is she good at problem solving, but also she is great at building and managing workflows. Specifically, she built the sustainment plan for some of the major data science products at Suncor Energy. I strongly recommend her for any senior data science and machine learning engineer positions."

Pam Nagarajappa, P.Eng.'s Current Company Details
AIFeatures

Aifeatures

Founder
Calgary, AB, CA
Pam Nagarajappa, P.Eng. Work Experience Details
  • Aifeatures
    Founder
    Aifeatures
    Calgary, Ab, Ca
  • Self-Employed
    Consultant, Data Science Expert
    Self-Employed Dec 2023 - Present
    • Unlock the full potential of your data: I help clients develop scalable strategies for data, analytics, and AI implementation that drive measurable value.• Expand your use cases: From Human Resources to operations, trading, and beyond, we design solutions to broaden the scope of what's possible with your data.• Tailored solutions for every need: Whether you're looking to implement complex or simple AI applications, my team has the expertise to deliver insights that matter.• Experience you can trust: With a proven track record, I specialize in delivering actionable insights across various domains. I have worked with energy companies and most recently collaborated with a major hockey league. • Passionate about responsible AI: We are committed to developing AI solutions that are ethical, transparent, and scalable for your organization.• Ready to assist you: Have questions or need support? Reach out, and we’re eager to help you unlock new opportunities!
  • Suncor
    Data Science Community Of Practice Lead
    Suncor May 2022 - Jan 2024
    Built best practice and tools to accelerate data science products including for complex use cases involving thousands of models and large data, Led data science practice for ML engineering, MLOps and model governance, mentored and coached staff on best practices including for ML/AI model governance. The solutions/templates reduce overall development time by 10%. Advised managers on gaps in product build and sustainment capability to improve their staff’s technical know-how on best practices.Played a key role in responsible AI practice development for the organization.• Improved the design of model governance framework and implemented roadmap and practice with solutions adopted in multiple opportunities leading to significant time-to-value improvement• Onboarded and guided several teams to a consistent model governance framework• Guided several teams on tracking value, KPIs from models (shallow to prescriptive models)• Developed learning path for MLOps practice to build technical capability and to reduce technical debt and improve time-to-value
  • Suncor
    Data Scientist
    Suncor Nov 2019 - Apr 2022
    Optimized production in oil sands extraction by using prescriptive models, reduced technical debt leading to 90% reuse of code between similar products and improving time-to-value, advised and reviewed models from energy, supply chain domains, mentored junior data scientists and students. Worked with stakeholders and SMEs to deliver value-add ML products. Worked with high performing team to develop products at pace and scale. Won several Suncor Excellence awards for innovation, insights and value delivery.• Built multiple prescriptive machine learning models for production optimization (bitumen) with value generated in excess of $70 million dollars• Built reproducible ML models• Pioneered scalable MLOps and designed model governance framework• Reduced technical debt of data science solutions by 50% • Designed solutions with product metrics for value tracking• Designed model architecture for ML systems• Areas of modelling include process optimization, solvent quality determination, delineation of process factors
  • Tgs
    Research Scientist
    Tgs 2013 - 2019
    Improved reservoir rock property correction by removing distortions due to noise and near-surface ambiguity, interpolating spatial data in higher dimensions and separating signal interferences. New algorithms that were better than industry standard methods were introduced to improve signal fidelity. Clients attest to improving their reservoir property estimation compared to conventional workflows (e.g., significantly higher R2).+ Built multiple products with over 25 algorithms that support these products+ Innovated and contributed knowledge to journals and conferences+ Collaborated with the clients and users to provide interpretable solutions+ Built scalable models and workflows for large data (on the order of peta bytes)
  • Cggveritas
    Research Scientist
    Cggveritas 2006 - Dec 2012
    + Built algorithms to improve signal fidelity while honouring the underlying Physics + Contributed knowledge back to the industry via presentations and papers+ Developed a data adaptive noise attenuation approach that was patented
  • Wi-Lan Inc.
    Design Engineer
    Wi-Lan Inc. 1999 - 2002

Pam Nagarajappa, P.Eng. Education Details

Frequently Asked Questions about Pam Nagarajappa, P.Eng.

What company does Pam Nagarajappa, P.Eng. work for?

Pam Nagarajappa, P.Eng. works for Aifeatures

What is Pam Nagarajappa, P.Eng.'s role at the current company?

Pam Nagarajappa, P.Eng.'s current role is Founder.

What schools did Pam Nagarajappa, P.Eng. attend?

Pam Nagarajappa, P.Eng. attended The University Of Calgary.

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