Saeid Abolfazli Email & Phone Number

Toronto, On, Ca

Toronto, Ontario, Ca

Toronto, Ontario, Ca

Toronto, Ontario, Ca

Toronto, Ontario, Ca

Providing thought leadership to Canadian small and medium companies on effective application of machine learning and AI to drive success in their businesses!

Los Alamitos, California, Us

Successfully developed and executed an outreach strategy to increase magazine presence in social media. Worked with student volunteers to develop an automated content creation and publication on LinkedIn, Facebook, Twitter, and Instagram to create awareness and increase our publication diversity.

Los Alamitos, California, Us

3 main roles as editor:1- Responsible to provide scientific and professional recommendations on submitted manuscripts for possible publication in the magazine. 2- Consulting EiC and editorial board members to devise growth strategy by enabling and developing digital and web analytics initiatives.3- Lastly, identifying award categories and nominating awardees

Vancouver, British Columbia, Ca

Strategizing and growing transformation portfolios across data, analytics and Google Cloud technologies to transform procurement operations that accelerate growth and enable data-driven decision making. Notable achievements:-Stood up GenAI CoE and successfully led a GenAI hackathon in partnership with Google Cloud where 200+ hackers and 50 internal and external leaders hacked 17 business problems with LLM. Received 4 star rating from participants with 97% of them want to participate again. Multiple use cases with more than $5M benefits are on their way to production in 2024.-Enabled 1.7X savings target with 10% less human resources -Achieved 12+K hours of bandwidth across procurement and sales team members resulting in incremental savings and reciprocal revenue by successfully developing and executing an end-to-end data science strategy -Mitigated risk by identifying and supporting $14M incremental spend under active procurement management-Partnered with procurement professional stakeholders to reduce operational risk from expired contracts.-Nurtured a team of data analysts, data engineers, and Tableau developers and grew it to a team of 20+ high-performing cross-functional data architects, engineers and scientists, software engineers, and a scrum master-Advocated for my employees' pay, well-being, and career growth and achieved 100% employee engagement based on the annual corporate engagement survey

Vancouver, British Columbia, Ca

Founding manager of AI function in procurement, responsible to design Cloud-first data analytics and AI strategy and execute it in Google Cloud to facilitate central data access and reporting that enabled data-driven decision making. I upskilled and grew this team from a few analysts to an agile team of data engineers, GCP architects, and data scientists who are working together from ideation, to development, deployment, and operation. Notable achievements: -Successfully designed and implemented a central cloud-based data platform in the Google cloud using open source and commercial products such as Data Build Tool (DBT), NiFi, and BigQuery, and consolidated 100+ billion historical and incremental data points from 8 enterprise systems, including SAP.-Realized $250K annual license cost saving by replacing 3rd party spend analytics tool with our internal tool-Reached 99% data accuracy compared to source, leading to increased stakeholder trust and adoption-Generated 8000+ hours of operational efficiency by enabling access to highly accurate and reliable procurement data through various self-serve reports and dashboards serving 100+ direct and 300+ indirect stakeholders-Enriched procurement data to create 360 visibility of corporate spend using 6 new dimensions that led to data-driven target setting, progress tracking, and timely intervention to mitigate the risk of target missing across the procurement.

Vancouver, British Columbia, Ca

Technically led 8 data scientists to drive various data, ML and AI initiatives across TELUS mobility and home solutions marketing; worked with internal teams and external vendors to develop enterprise data science production environment to enabling development and deployment of the state-of-the-art machine learning solutions developed in the team; coached and mentored junior team members toward trigger-based real time propensity models leading to increase convergence rate by 3-6 folds across different lines of business.Notable achievements- Led design and implementation of a feature store to accelerate development of ML/AI models resulting in 30% agility in development of predictive models - Won the gold award during TELUS-Accenture AI Hackathon for the idea- Identified hot digital intent triggers on telus.com leading to innovation in the ways we capture intent. The results significantly increased success rate of marketing campaign by 3 folds- Led design and development of trigger-based real time propensity models leading to increase convergence rate by 3-6 folds across different lines of business

Vancouver, British Columbia, Ca

Performed big data processing, data engineering at scale, supported prospecting campaign and built propensity models for different lines of business. Notable Achievements:-Enabled marketing team to stand up a new line of marketing campaign for prospects that generated $2.16M incremental mobility revenue during 2-year contract period. -Generated actionable insights to enable data-driven optimization of prospecting campaign leading to 38% increase in the campaign success (improve campaign load rate from negative to 1% positive over multiple iterations).-Developed a cross selling predictive model to optimize our campaign by 3.7 folds leading to generating $4.5M incremental revenue a year for our digital-only customers in Alberta and British Columbia.

My

Developed organization-wide data and analytics strategies in collaboration with senior executives to increase growth and revenue and enable proactive network monitoring. Developed and acted upon short/medium-term data strategies to enable advanced analytics and data-driven decision making. Designed and built scalable data science solutions as well as production environments using the latest technologies, including Hadoop that reduced reporting cycle time from 1 week to less than a day every month. Provided reliable data-driven business insights to C-level leadership team as well as sales, marketing, and customer care teams to accelerate decision making across the organization and improve the experience of our customers across multiple products.

My

Performing data analysis, mathematical/statistical modelling, predictive modelling (regression) using R and IBM SPSS; Undertaking cutting edge research on mobile cloud computing and mobile big data; publishing analysis and research findings in world prestigious venues. Several research papers published in first top journal of computer science and was recognized by Thomson Reuters as top 1% research in the world. Complete list of research papers are available at https://scholar.google.com/citations?user=UP1gCvYAAAAJ&hl=en&oi=ao

Setting strategies, building and leading a team of talented individuals, and setting culture and values. Directed the team to establish and expand business in sale and services of computer hardware, software and computer networks.Leading a wonderful team of energetic and smart computer software and hardware savvies. We as a team, worked relentlessly hard to use our knowledge and experience in computer hardware, software, and wired/wireless networking domains to serve our customers. I increased sales 5 times over 4 years by strategically identifying market gap and partnering with manufacturers and importers of high quality hardware products. The main innovation that drove the success in my business was to provide life time warranty and support to all products and services we sold - it gave unquestionable trust to our customers. Strategically, in the third year, we expanded our business to hardware repair and maintenance by employing sharp minds and leading them to unleash their full potential in the areas they studied and loved - this line of business not only supported our sales but also created a net new business with high margin that could increase our cash flow significantly. The company was acquired later before we leave to further continue our education.

Developing financial software for small businesses, perform hardware installation and maintenance of personal computers

Doctor Of Philosophy (Ph.D.), Computer Science And Information Technology

Master'S Degree, Information Systems

Be, Computer Software Engineering