Rishab Mahajan
Advisor, Data Scientist @Region of Peel
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WORK HISTORY
Advisor, Data Scientist @Region of Peel
ON, CA
Utilized Microsoft Fabric and Co-pilot Studio to automate complex business processes, improving data accuracy and reducing reporting cycle times by 30%• Leveraged Natural Language Processing NLP techniques to efficiently parse, process, and analyze data from a dataset of over emails. Employed topic modeling, specifically Latent Dirichlet Allocation (LDA), to extract meaningful themes.• Led real-time monitoring implementation for 20+ maintenance metrics across units with predictive modelling, enabling leadership to make data-backed decisions 40% faster for inventory management, cost reduction and reducing reporting time by 50%.(IBM Maximo)• Orchestrated the deployment and ongoing management of Natural Language Processing (NLP) data models, specifically tailored to analyze customer complaints, within Azure Databricks resulting in an estimated annual cost savings of per year
EDUCATION
Indira Gandhi National Open University
Master of Arts - MA, Political Science and Government
Manipal University Jaipur
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
George Brown Polytechnic
Applied A.I. Solutions Development (Postgraduate), Artificial Intelligence
ABOUT RISHAB MAHAJAN
Insight-driven data scientist with 8+ years of experience across public and private sectors, specializing in end-to-end data engineering, analytics, machine learning, and scalable data science solutions. Proven track record of converting complex data into strategic insights that optimize operations and drive measurable impact.Core Skills:Languages & Tools: Python, SQL, Power BI, ArcGIS, Azure Data Factory, Microsoft Fabric, SnowflakeData Science: Predictive Modeling, Time Series (LSTM), Classification (XGBoost, Random Forest), NLP, Generative AI, Deep Learning (TensorFlow, CNN/RNN)Big Data: Apache Hadoop, Spark, HiveBI & Reporting: Real-time dashboards, SLA analytics, demographic modelingProject Delivery: Agile, JIRA, Azure DevOpsSelected Impact:Deployed real-time monitoring for 20+ KPIs, accelerating leadership decisions by 40%Built ML pipelines to streamline workflows, improving scalability by 90%Analyzed demographic + program data with ArcGIS/Power BI, reducing planning time by 20%Developed AI prototypes that improved non-technical user onboarding by 40%Drove insight delivery using Spark-based processing of large-scale public sector dataCertifications: AWS Machine Learning Specialist | Azure AI Engineer Associate | PL-300 Power BIOpen to contract opportunities where I can apply data science expertise to solve real-world challenges, deliver fast insights, and support data-driven transformation.Megamations, IBM Maximo, PeopleSoft, SharePoint
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