Overview
Work History
Education
Skills
Timeline
Generic

Maryam Pouryazdan

San Francisco,CA

Overview

7
7
years of professional experience

Work History

Data and Smart Technologies Manager

Veolia North America
10.2023 - Current
  • Led the design and implementation of smart technologies and AI-powered data solutions across water and wastewater operations, enhancing reliability, efficiency, and sustainability.
  • Developed predictive maintenance and time series models using operational and sensor data, SCADA, AMI, lab results for optimizing chemical usage and early odor detection in waste and water treatment systems.
  • Integrated smart infrastructure with cloud platforms (Azure, AWS, Microsoft Fabric) and Power BI, and GIS to enable real-time monitoring, digital twins, and operational dashboards.
  • Conducted field visits, stakeholder interviews, and on-site pilots to align smart tech deployments with customer needs and business goals.
  • Created SOPs, training materials, and strategic recommendations to support scalable rollouts and long-term adoption of smart systems.
  • Oversaw high-profile smart water facilities, managing live deployments, retrospectives, and continuous improvement efforts.
  • Acted as client liaison, translating complex data insights into clear recommendations through reports, visualizations, and presentations.
  • Mentored technical teams and fostered cross-regional collaboration to promote innovation and best practices across the enterprise.
  • Applied DevOps and agile practices (e.g., Jira) to streamline delivery, enhance cross-functional teamwork, and accelerate value realization.

Senior Data Scientist

CSpace
04.2022 - 08.2023
  • Partnered with business leaders across the organization to identify and unlock new sources of value from data and AI methods, including raising data literacy by democratizing access to curated datasets and ML self-service tools.
  • Conducted extensive A/B tests and multivariate tests for over 250 clients to optimize surveys' design and customer review campaigns with goal of higher Gen-Zs participation.
  • Built a sentiment analysis tool using tfidf transformer to predict fraudulent customer behaviors on a large dataset of over 20k users and rate them which resulted in 15% save on payments to malicious users.
  • Contributed towards moving the direction of reach market program from intuition-based to data-driven approach by partnership with client, customer acquisition and engineering team.
  • Created a scalable segmentation framework using clustering methods in order to discover new segments of customers for more than 200 clients, resulted in increasing customers' loyalty and engagement with more than 85% accuracy.
  • Developed a scoring model using Random forest to select high value customer from our community members resulting in recruiting up to 25% more influential customers.

IoT Data Scientist

Watts Water Technology
10.2018 - 03.2022
  • Identified potential customer by deploying a mapping and forecasting system by the use of K-Means clustering and Gradient Boosting Classifier algorithms which led to target relevant customer with AUC-ROC score of 74%.
  • Consults with business partners to understand problems and goals, understand business value, and translate into business opportunities to be captured through predictive analytics solutions.
  • Used matrix profile-package to detect time series motifs and anomaly behavior of IoT devices and identified overall health of devices to predict regular maintenance which saved up to 18% on repair costs.
  • Implemented various time series forecasting model to predict market demand which surfaced the key data points such as seasonal fluctuations, consumer trends, commercial construction market, weather-data and purchase correlations, led to save up to $255k yearly.
  • Applied MARS regression model to predict remaining useful life of IoT devices which improved service levels, revenue and customer experience by 32%.

Education

Ph.D. - Electrical And Computer Engineering

Clarkson University
12-2018

Skills

  • ML Models: Time-Series, Regression/Classification Models, NLP, Reinforcement Learning, Neural Network, Clustering, Sentiment Analysis
  • Optimization algorithms: genetic algorithms, reinforcement learning, Workforce management
  • Programming and Script: Python(pandas, scikit-learn, NLTK/spaCy), SQL, R, Scala, Java, LinuxShell Script, Matlab, Tableau
  • Big Data Ecosystem: Microsoft Azure, Apache Spark(Spark Segmentation, Spark SQL), Amazon Web Services(EMR, EC2, S3)
  • Statistical Skills: A/B Testing, Hypothesis Testing, Sig Testing, Driver Analysis, Confidence Interval, Price Sensitivity Analysis

Timeline

Data and Smart Technologies Manager

Veolia North America
10.2023 - Current

Senior Data Scientist

CSpace
04.2022 - 08.2023

IoT Data Scientist

Watts Water Technology
10.2018 - 03.2022

Ph.D. - Electrical And Computer Engineering

Clarkson University

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Maryam Pouryazdan