Skip to main content
Peter Enoch

Peter Enoch

Data Scientist

Talent
St. John'sMember since October 8, 2026
PythonpandasNumPyscikit-learnTensorFlowSQLNoSQL (MongoDB)Exploratory Data AnalysisFeature EngineeringStatistical AnalysisMachine LearningModel DeploymentA/B TestingAWSCertified Cloud PractitionerGitHubTableauStreamlitApache KafkaSparkLinuxStakeholder managementexecutive-ready data storytellingcross-functional collaboration
·

Hire this person

Send a job offer directly to this candidate

PythonpandasNumPyscikit-learnTensorFlow

About

Data Scientist with 6+ years of experience applying machine learning, statistical modeling, and data engineering across marketing, procurement, and operations. MSc in Data Science (Memorial University of Newfoundland) with hands-on Python, SQL, and NoSQL (MongoDB) experience extracting and manipulating data at scale. Proven track record improving predictive model accuracy by up to 85% and data pipeline performance by 60%, alongside direct experience building demand-forecasting and inventory-optimization models that improved forecast accuracy by 15% — well matched to solving supply-and-demand balancing problems for a large-scale, high-volume service.

Comfortable partnering with stakeholders across technical and business teams to translate analysis into actionable recommendations.

Experience

Data Scientist at DATAALCOMMS (2022-09 – 2024-01)

  • Led the development of machine learning models in Python and TensorFlow, boosting predictive analytics accuracy by 85%.
  • Managed deployment of data pipelines using Apache Kafka and Spark, improving processing speeds by 60% — experience directly transferable to production-scale ML systems.
  • Queried and transformed data from SQL and NoSQL (MongoDB) sources to support model development and reporting.
  • Built real-time dashboards for operational data monitoring in Tableau, cutting reporting turnaround by 50%.
  • Engineered an ML-based customer segmentation model with scikit-learn, improving targeting effectiveness by 30%.

Senior Purchase Analyst at Tecno Mobile (2020-07 – 2023-08)

  • Developed and implemented predictive demand-forecasting models, improving inventory accuracy by 15% — direct experience with supply-and-demand balancing problems.
  • Analyzed procurement and supply chain data using statistical techniques to optimize purchasing strategy and reduce costs.
  • Built data pipelines to streamline supply chain processes in collaboration with cross-functional and engineering teams.
  • Managed vendor relationships and quality standards, improving delivery timelines across a global supply network.

Purchasing Supervisor at Transsion Holdings (2018-05 – 2020-06)

  • Streamlined purchasing operations and analyzed spending data to identify cost-saving opportunities and drive process improvements.
  • Built custom data-validation and import scripts to improve procurement data quality and accuracy.

Purchasing Analyst at Transsion Holdings (2017-05 – 2018-04)

  • Developed marketing measurement models for Out-of-Home advertising, increasing brand visibility by 70%.
  • Implemented cost-saving procurement strategies, reducing expenses by 35%, and improved market survey data accuracy by 75%.

Computer Solutions Advisor at Best Buy (2023-10 – 2024-05)

  • Provided tailored technical product recommendations and support, adapting to evolving customer and business needs.
  • Communicated customer feedback to product teams, contributing to ongoing product enhancement efforts.

Education

MSc in Data Science – Memorial University of Newfoundland (2023-09 – 2024-08)

BSc in Computer Science (Minor in Information Systems) – Ternopil National Technical University (2010-09 – 2014-06)

Skills

Data Scientist

Reviews

Related