Saeed Nusri Email & Phone Number

Calgary, AB, CA

Toronto, Ontario, CA

Toronto, Ontario, CA

São Paulo, SP, BR

• Design and execute innovative strategies to improve liquidity, enhance user trading experiences, reduce slippage and increase transaction volumes
• Establish the first-ever architect guild at MB to strategically lead a solid domain-driven architecture across multiple verticals of the MB product portfolio
• Play a critical role in leading the banking infrastructure development, including crypto Mastercard, PIX transfers, and multi-wallet balance control
• Implement a global state management system using the Saga pattern on Apache Kafka, achieving an impressive 99% uptime for the crypto exchange, enhancing scalability during peak market activity.
• Improve exchange latency by several magnitudes, from 1000+ ms to under 50 ms, with a narrow standard deviation of +-15ms, through services micro-optimizations
• Pioneer the implementation of design systems and StoryBook for the front end for significantly unifying and improving CX and improving deployment lead times

Remote, US

• Developed and implemented clear roles for data solution architecture, fostering effective collaboration with software development teams and DevOps.
• Ensured seamless relationships between data architecture components, enhancing overall system efficiency.
• Achieved a remarkable 90% code coverage for all data pipelines in production, demonstrating a commitment to quality and reliability.
• Proactively identified and addressed root causes of data inconsistencies, guiding the team in implementing effective solutions to reduce technical debt while aligning with business priorities.
• Spearheaded the development of machine learning (ML) and natural language processing (NLP) capabilities, establishing a robust data science practice and providing technical mentorship to the team.
• Fostered an environment of continuous learning and growth, ensuring the team remained at the forefront of emerging technologies.

Remote, US

• Spearheaded the development of a comprehensive, end-to-end NLP-based solution leveraging word2vec to generate tailored SEO recommendations for users' websites, enhancing keyword effectiveness.
• Engineered a bespoke web crawler utilizing Beautiful Soup and Selenium, effectively navigating and harvesting data from user websites to build a robust document corpus.
• Orchestrated and directed a high-performing team to successfully productize the language model for advanced keyword relevancy, ensuring seamless integration into existing workflows.
• Streamlined and optimized the data pipeline, handling billions of keywords daily, effectively managing and processing over 30 TBs of data, demonstrating a commitment to efficiency and scalability.
• Designed and implemented a cutting-edge data warehouse on Redshift, facilitating customer behavioural analysis and BI metrics. Established an ETL pipeline utilizing technologies such as Glue, EMR, and Kinesis.
• Revitalized the data architecture on DynamoDB and ElasticSearch (OpenSearch) to mitigate data inconsistencies, fostering a more reliable and accurate information ecosystem.

Vancouver, British Columbia, CA

- Lead recruitment pipeline for data scientists and engineers- Built up and cultivated high-performing teams from scratch using Agile principles- Worked closely with product to lead innovation at Teck, defined objectives and roadmaps and led the group towards delivering multiple research projects.- Designed and implemented end-to-end data pipelines and.

Edmonton, Alberta, CA

• Implemented Digital Identity-based platform using Hyperledger Ursa and federated learning model framework using Hyperledger Aries
• Led the Innovation Lab’s Data Science team to create, experiment and deploy new machine learning models to support new products and services for ATB through the product development pipeline
• Identified new opportunities in Artificial Intelligence (AI) and explored applications of machine learning within ATB’s existing and future business models through rapid prototyping
• Architected MLOps team framework leveraging tools like Kubeflow to enable fast integration and deployment of ML models
• Designed and implemented a master data model for lab data lake for rapid consumption of enterprise and open data dataset
• Leveraged big data technologies like Apache Spark, Beam and Airflow to orchestrate routine ETLs that feed scaled models

Ottawa, Ontario, CA

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.

Canada, Alberta, CA

• 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

Canada, Alberta, CA

• 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

Edmonton, Alberta, CA

• 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

San Francisco, California, US

• 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.
• 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.

Dubai, AE

• 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.
• 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.
• 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

• Conducted hands-on, interactive science programs for visitors of all ages.
• Facilitated educational workshops, demonstrations, and activities aligned with the Science Centre's mission and objectives.
• Adapted instructional methods to accommodate different learning styles and abilities.
• Fostered a positive and inclusive learning atmosphere by engaging participants through questions, discussions, and demonstrations.
• Interacted with visitors, answering questions and providing additional information to enhance their understanding of scientific concepts.
• Collaborated with the education team to develop and update curriculum materials for science programs.

• 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.

Edmonton, Ab, CA

Calgary, Alberta, CA

• 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, andprovide 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 performancespecifications
• Carried out optimization of mechanical components and manufacturing process
• Read and interpret blueprints, technical drawings, schematics, and computer-generated reports

Sharjah, AE

• 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.
• 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

Master Of Science (Msc.), Engineering

Bachelor Of Science - Bs, Engineering

Bachelor Of Science - Bs, Chemistry