Monica Chandramurthy
Data Scientist @Bmo Global Asset Management
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WORK HISTORY
Data Scientist @Bmo Global Asset Management
Toronto, ON, CA
Develop and deploy machine learning models, including time series (ARIMA) and clustering techniques, to enhance analytics for distributions and sales- Conduct advanced GAM analytics, including customer segmentation, sales forecasting, and performance optimization- Collaborate with cross-functional teams to integrate ML-driven solutions into operational workflows, enhancing decision-making and resource allocation strategies- Visualize key metrics and trends using Power BI to deliver actionable insights to stakeholders and senior leadership- Leverage technologies such as Python, SQL, SAS, and machine learning frameworks for predictive modeling and optimization tasks.
EDUCATION
University of Calgary
Master's degree, Data Science and Analytics
Mount Carmel College, Palace Rd, Bengaluru
High School, Physics, Mathematics, Chemistry and Biology
Sri Venkateshwara College Of Engineering Karnataka
Bachelor of Engineering (B.E.), Computer Science
ABOUT MONICA CHANDRAMURTHY
Driving product intelligence and customer value through AI and machine learning at BMO.I specialize in building and deploying advanced machine learning and AI solutions that enhance decision-making, optimize operations, and elevate customer experiences. My work spans end-to-end model development—from data engineering and experimentation to production deployment—focused on delivering scalable, real-world impact.Technical Expertise • Languages: Python, SQL, Java, JavaScript, R, Node.js • DevOps & MLOps: Docker, Kubernetes, Git, Jenkins, Terraform • Databases: MySQL, MariaDB, PostgreSQL, Oracle SQL, MS SQL Server, MongoDB, PL/SQL • Big Data: Hadoop, Spark, Kafka • Visualization: Power BI, Tableau, ggplot2, Matplotlib • Cloud & Platforms: Azure ML, Databricks, AWS, GCP, Vertex AI • ML & AI: PyTorch, TensorFlow, scikit-learn, BERT, distilBERT, LLMs, Generative AIData Science & AI • Advanced statistical modeling and analytics in Python and R • Development of machine learning, transformer, and generative AI models • Large-scale data processing with Spark and Hadoop • Insightful data storytelling through interactive dashboardsProject PortfolioSelected projects include AQI Analysis during COVID-19, Medical Cost Estimation, and End-Stage Kidney Disease Analysis. Portfolio: https://monicacs5830.github.ioProject Management & Delivery • JIRA, VersionOne, TFS • Agile & DevOps methodologiesWith a strong foundation in data science, engineering, and delivery, I focus on turning complex data into intelligent, actionable solutions. Always open to meaningful collaborations and impactful opportunities.
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