Open to opportunities

Pras User

@prasuser

I build production machine learning systems that improve customer decisions, marketing performance, and operational reliability.

Canada

Message

What I'm looking for

Seeking remote Senior or Lead Data Scientist roles with end-to-end ownership of high-impact ML and AI problems. I’m most interested in machine learning, GenAI, experimentation, causal inference, and decision systems, with opportunities to stay hands-on, influence strategy, and work closely with Product and Engineering.

I’m a Full Stack Data Scientist with 12+ years of experience building machine learning, experimentation, and analytics solutions across healthcare, telecom, marketing, retail, and technology. I specialize in translating complex business problems into production-ready AI systems, from data pipelines and feature engineering to modeling, deployment, monitoring, and decision support. My experience includes predictive maintenance, churn and propensity modeling, customer lifetime value, causal inference, A/B testing, MMM/MTA, and GenAI/LLM-powered applications. I work extensively with Python, SQL, PySpark, AWS, Azure, GCP, and Databricks, and enjoy solving high-impact problems where data science, product strategy, and business decision-making intersect.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Johnson & Johnson

Jun 2024 - Present (2 years 3 months)

Owned end-to-end AI system development and deployment, including data pipelines, feature engineering, model inference, and monitoring. Developed and deployed ML models for surgical robot failure prediction and integrated model outputs into operational dashboards, contributing to a 25% reduction in downtime.

Python SQL AWS Sagemaker Glue S3 Explainable AI LLM Agentic Systems

Senior Data Scientist

Telus Communications

Apr 2022 - May 2024 (2 years 1 month)

Designed, built, and owned AI-driven marketing predictive systems across the customer lifecycle, informing pricing optimization, growth initiatives, and retention strategies. Built detailed usage metrics and designed A/B tests and causal experiments to ensure robust decision-making.

Python SQL A B Testing Causal Inference predictive modeling Customer Lifetime Value Machine Learning Marketing Analytics

Senior Data Scientist

Telus Communications

Apr 2022 - May 2024 (2 years 1 month)

Designed, built, and owned AI-driven marketing predictive systems across the customer lifecycle, informing pricing optimization, growth initiatives, and retention strategies. Built usage metrics, designed A/B tests and causal experiments, and developed customer lifetime value models.

Python PySpark SQL Azure Databricks A B Testing Causal Inference predictive modeling Customer Segmentation Machine Learning

Data Science Manager

Rogers Communications

Mar 2021 - Apr 2022 (1 year 1 month)

Led the design and deployment of marketing models supporting churn reduction and personalized offers, implemented using Python, PySpark, and SQL on Azure and Databricks. Drove cross-functional delivery in Agile sprints, generating $1.5M in incremental impact.

Python PySpark SQL Azure Databricks A B Testing Causal Inference Agile

Data Science Manager

Rogers Communications

Mar 2021 - Apr 2022 (1 year 1 month)

Led design and deployment of marketing models for churn reduction and personalized offers using Python, PySpark, and SQL on Azure and Databricks. Designed A/B testing and evaluation strategy, translated model outputs into business trade-offs, and drove cross-functional delivery in Agile sprints.

Python PySpark SQL Azure Databricks A B Testing Causal Inference Agile Stakeholder Management Machine Learning

Data Scientist

Merkle | Cardinal Path

Mar 2019 - Mar 2021 (2 years)

Leveraged Python, SQL, and Google Cloud Platform to craft data-driven models for client digital marketing. Led analytics initiatives including campaign performance measurement, customer segmentation, demand forecasting, and MMM/MTA frameworks, and engineered scalable data pipelines.

Python SQL Google Cloud Platform BigQuery AWS Data Pipelines predictive modeling Customer Segmentation Demand Forecasting MMM MTA

Data Scientist

Merkle | Cardinal Path

Mar 2019 - Mar 2021 (2 years)

Leveraged Python, SQL, and Google Cloud Platform to craft data-driven models, amplifying client digital marketing experiences. Led digital marketing analytics initiatives including campaign performance measurement, customer segmentation, and deployment of MMM and MTA frameworks for Fortune 500 clients.

Python SQL Google Cloud Platform BigQuery AWS MMM MTA predictive modeling Data Pipelines

Data Science Executive

Nielsen

Mar 2015 - Jul 2017 (2 years 4 months)

Led retail universe estimation and sample design feasibility analyses using large-scale retailer and survey data. Built and deployed machine learning models to identify key drivers of brand growth and automated data quality checks by migrating legacy SAS workflows to R and Python.

Machine Learning R Python SAS Data Quality Retail Analytics Statistical Modeling

Data Science Executive

Nielsen

Mar 2015 - Jul 2017 (2 years 4 months)

Led retail universe estimation and sample design feasibility analyses using large-scale data. Built and deployed machine learning models to identify key drivers of brand growth and developed classification models for store-type standardization.

Machine Learning Classification R Python SAS Data Quality Statistical Analysis SQL

Analyst

DecisionCraft

Aug 2013 - Mar 2015 (1 year 7 months)

Engineered a media planning tool for optimizing TV advertisement campaigns and spearheaded deployment of a New Logo Matching System, reducing false positives from 15% to less than 1%. Mentored junior data analysts.

Optimization Image Processing Python Mentorship

Analyst

DecisionCraft

Aug 2013 - Mar 2015 (1 year 7 months)

Engineered a media planning tool for TV advertisement campaign optimization and deployed a New Logo Matching System reducing false positives from 15% to less than 1%. Mentored junior data analysts.

Optimization Image Processing Data Analysis Mentorship