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NITHIN PAI

@nithinpai

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I build and validate machine learning models that improve customer targeting, analytics, and business decisions.

Canada

Message

I've delivered machine learning, predictive analytics, and reporting solutions across banking, retail, energy, and transportation, using Python, SQL, SAS, and cloud data platforms.

At BMOFG, I lead the development, evaluation, and validation of customer segmentation and predictive models that improved customer targeting efficiency by 80%. I also design SQL data models, automated pipelines, and Power BI and AWS Redshift monitoring frameworks that strengthen data quality and model reliability.

Previously, I built lead-generation logistic regression models, reduced big-data processing time by 50% with Azure Databricks partitioning, and reduced Azure SQL Database downtime by 20%. At Shell, I streamlined data-mining and processing pipelines by 25% while delivering sales, churn, and cross-sell analytics.

I've also developed NLP-based AI solutions for text mining and sentiment analysis at Concentrix, operational analytics for MVT Canadian Bus, and SAS, Python, and Tableau cost models at Tesco. I enjoy partnering with engineering, analytics, and business teams to turn model performance into practical decisions.

Experience

Work history, roles, and key accomplishments

Current

Manager Analytics & Visualization

Current

BMO Financial Group

Jul 2023 - Present (3 years 2 months)

Led development, evaluation, and validation of machine learning models for customer segmentation and predictive analytics, improving targeting efficiency by 80%. Built automated monitoring and reporting frameworks using Power BI and AWS Redshift.

Python Machine Learning Predictive Analytics Customer Segmentation Power BI AWS RedShift SQL Data Pipelines Model Validation Stakeholder Management

Manager Analytics and Reporting

BMO Financial Group

Jul 2021 - Jul 2023 (2 years)

Designed and validated predictive machine learning models in Python to improve lead conversion, customer targeting, and churn identification. Collaborated with cross-functional teams to implement scalable analytics solutions and automated reporting systems.

Python Machine Learning predictive modeling Data Modeling SQL Analytics Reporting Cross Functional Collaboration

Data Analytics Specialist

BMO Financial Group

Oct 2019 - Jul 2021 (1 year 9 months)

Developed data models and SQL queries to automate and import datasets, and built machine learning logistic regression models in Python for customer leads. Implemented data partitioning on Azure Databricks, decreasing processing time by 50%.

SAS SQL Python Machine Learning Logistic Regression Azure Databricks Azure SQL Database Data Modeling Big Data

Senior Data Analyst

MVT Canadian Bus, Inc

Jun 2019 - Oct 2019 (4 months)

Developed reports using Python from trip logs to identify missed routes, driver availability, and real-time bus tracking. Automated data visualization reports using Power BI for insights and analysis.

Python Data Analysis Power BI Data Visualization Reporting

Senior Data Scientist

Shell

Sep 2017 - Sep 2018 (1 year)

Developed analytical models using SAS and Python to increase sales revenues across B2B and B2C businesses. Built SQL data pipelines and automated visualization reports using Power BI and Tableau.

SAS Python SQL Data Pipelines Power BI Tableau Data Analysis B2B B2C

Lead Data Analyst

Concentrix

Apr 2015 - Jun 2017 (2 years 2 months)

Developed and optimized NLP-based AI models using Python for text mining, sentiment analysis, and unsupervised learning. Built scalable SaaS-based NLP solutions and automated monitoring mechanisms.

Python NLP Text Mining Sentiment Analysis Unsupervised Learning SaaS Machine Learning Model Evaluation

Senior Data Analyst

Tesco

Nov 2010 - Apr 2015 (4 years 5 months)

Developed and automated Standard Cost Model using SAS analytical data models and regression AI models in Python. Created dashboards in Tableau to highlight expenses and cost components.

SAS Python regression Tableau Data Analysis Cost Modeling Reporting