Saeed Nusri

The Energy Futures Lab (EFL) is an Alberta-based, multi-disciplinary collaboration designed to accelerate the development of a sustainable​ energy system for Alberta. The EFL brings together influential leaders to address current and emerging energy challenges, and generate opportunities to identify, test and scale new initiatives and collaborations. It serves as a: - Network to share lessons and knowledge among participating organizations and their stakeholders. - Channel to spark a new energy future narrative that inspires dialogue and action on key issues and challenges. - Platform for ongoing experimentation, innovation, and collaboration.

• Lead data analytics and end-to-end architecture implementation strategies for machine learning and AI platforms based on business requirements • Work with businesses across ATCO Global Business Units (GBU) to define corporate systems roadmap for data acquisition and monetization • Identify data monetization strategies in the ATCO electricity Global Business Unit 2030 road map • Leverage Bass Theory of Innovation to predict and capture market capitalization of innovative products in the distributed energy resources market • Produce performance dashboard in PowerBI, Tableau & Shiny to effectively recognize and measure KPI • Promote data awareness and self-serve analytic capability in businesses across ATCO GBU • Support Innovation Team with analytics and visualization capabilities

• Solve business and technical problems with creative use of algorithms using AI, machine (deep) learning and predictive modelling techniques • Develop load forecasting model to predict electricity consumption and power price signals and deploy model on AWS as part of next generation home analytics solution • Design and implement end to end outage prediction platform on Microsoft Azure using cascading classifiers • Complete end-to-end execution of the data science process by understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation • Create performance dashboard leveraging PowerBI and SQL database by creating views through complex queries

• Developed and commercialized end to end AI platform for condition monitoring of rotating equipment • Managed 24/7 real time analytics through shiny server deployed on AWS • Implemented novel ANN to predict equipment lifetime to accuracy of over 90% • Leveraged ANN to predict the type of equipment failure to up an accuracy of 99% • Deployed Hadoop and Spark cluster on Amazon Web Services to support ETL of over a million sensors • Automated data transfer of a million sensors from DynamoDB to S3 through EMR cluster • Developed iOS and Android app to present the result of analytics and health status of each equipment on client site • Managed international and national support team and regularly met project deadlines

• Leveraging management consulting practices • Measure performance metrics and dashboard marketing analytics for effective decision making for small scale businesses • Implement Market Basket Analysis on sales transaction to cluster associated products through confidence, lift and support • Responsible for extracting data from different sources, develop recommender system to help clients decide between which product to suggest to the potential customer or what discount percentages would increase the likelihood of a sale. • Analyzing data to see how deals are progressing in the sales pipeline • Apply machine learning technique to classify and evaluate the target market and forecast sales revenues.

• Implement machine learning and statistical algorithms such as decision trees, K means clustering, logistic regression, naive bayes on large datasets to provide meaningful analytics on regions with high electronic waste production and environmental implications of landfills. • Predict electronics waste generated by companies and consumers using time series analysis and multivariate regression on cleaned unstructured raw sales, stock and lifespan data. • Responsible for end-to-end analysis including framing and negotiating analytical objectives with senior leaders, sourcing relevant data, performing in-depth data analysis and presenting actionable insights to stakeholders. • Provide analytical consulting on best practices and develop new or enhanced analytical approaches for insightful analysis of market research • Query vast and sophisticated data from Terradata using SQL to manipulate and model in R

• Achieved recovery of desired minerals to over 95% from poor ores while keeping cost significantly low using optimization techniques and analysis of variance on process predictors. • Used factorial design of experiment to increase recovery of desired minerals from poor ores at cost reduction of 10%. • Collaborated with team to design and implement a two stage process to enhance recovery of desired minerals from poor grade minerals ores.

• Obtained and cleaned large datasets, applied predictive models, Principal Component Analysis (PCA), dimensionality reduction and segmentation techniques to carryout molecular dynamic simulations. • Accomplished high shear strength for land reclamation in compliance with Alberta Energy Regulator (AER) Directive 074 using statistical regression models and holistic design of experiments. • Co-managed $80, 000 project funded by Imperial Oil to investigate and implement an economically viable technology to address tailings issue in Fort McMurray

• Designed maintenance strategies, procedures and methods for paper core manufacturing • Conferred with system engineers and other personnel to implement operating procedures, resolved system malfunctions, and provide technical information • Developed paper core manufacturing drawings in accordance with applicable standards • Specify system components or direct modification of products to ensure conformance with engineering design and performance specifications • Carried out optimization of mechanical components and manufacturing process • Read and interpret blueprints, technical drawings, schematics, and computer-generated reports • Liaised with client departments, customers and other engineering and production colleague • Researched and analyzed customer design proposals, specifications, manuals, and other data • Improved health and safety policies and procedures to evaluate the feasibility, cost, and maintenance requirements of designs or applications

• Cleaned, processed and analyzed raw spectroscopic instrumentation data to identify silver doped zeolites as viable technology for waste management. • Developed methods of analysis with other research groups, and created mutually beneficial opportunities for scientific research, which required highly developed interpersonal, negotiation, verbal, and written communication skills.​ • Established a detection method to identify adsorption of organic pollutant (naptalam) on silver doped zeolites using Fluorescence Spectrophotometer​ • Organized lab sessions for over 500 students for General Chemistry, Organic Chemistry and Quantitative Analysis labs. • Liased with the supplier to keep laboratories well equipped. ​• Performed general lab equipment calibration and maintenance (eg. electronic balance, pH meter and conductivity meter).

• Collaborated with process engineers to ensure that production lines made products within specification limits by analyzing in-process samples • Trained on preparing polyurethane related sample for analysis. • Exposed to Chinese culture and Chinese language. • Surpassed target to analyze over 100 samples from the process line over a period of three months • Prepared and reported weekly technical reports, utilizing Microsoft Word, Excel, PowerPoint, and Visio