Ridhima Aggarwal Email & Phone Number | Computer Science Engineer from University Institute of Engineering & Technology (UIET), Panjab University, Chandigarh and Canadian Permanent Resident. Currently working in Data Science performing Predictive Analytics to determine Insurance Premiums, Cross Sell Probabilities, Churn rates which help understand Client Lifetime Values, next best actions for advisors and Client leads to pursue Have previously worked on managing CRE occupancy data and developing visualizations based on real time client occupancy status captured through IoT devices. Experience of 6+ years in Data Science Modelling, Actuarial Modeling, Predictive Analytics, Feature Selection, Data Preprocessing, Visualisations, reconciliation and Management Experienced in Python, R, Regression Models, Classification Models, Predictive Models, Time Series Models, Simulation Models, Dplyr programming, NLP, Semantic Analysis, GIT, Bitbucket, T SQL, PL/SQL, Tableau and Power BI Innovative team player proven to work under tight deadlines, multi task, adaptable to new technologies, quick learner and have also mentored many new hires as per company processes

Ridhima Aggarwal

Computer Science Engineer from University Institute of Engineering & Technology (UIET), Panjab Unive...
Toronto, Toronto, Canada

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Ridhima Aggarwal’s Location Toronto, Toronto, Canada

Ridhima Aggarwal’s Current Industry Aviva

Ridhima Aggarwal’s Prior Industry The Co Operators | Jll | Ssp Worldwide | Aon Hewitt | Aricent

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Manager, BI

2023-01-01 00:00:00 - Present

Business Intelligence Analyst II

2021-07-01 00:00:00 - 2023-01-01 00:00:00

Associate

2019-08-01 00:00:00 - 2020-01-01 00:00:00

Software Engineer

2017-10-01 00:00:00 - 2019-05-01 00:00:00

Junior Analyst

2016-02-01 00:00:00 - 2017-10-01 00:00:00

Software Development Trainee (Intern)

2015-01-01 00:00:00 - 2015-06-01 00:00:00

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Ridhima Aggarwal is a Computer Science Engineer from University Institute of Engineering & Technology (UIET), Panjab University, Chandigarh and Canadian Permanent Resident. Currently working in Data Science performing Predictive Analytics to determine Insurance Premiums, Cross Sell Probabilities, Churn rates which help understand Client Lifetime Values, next best actions for advisors and Client leads to pursue Have previously worked on managing CRE occupancy data and developing visualizations based on real time client occupancy status captured through IoT devices. Experience of 6+ years in Data Science Modelling, Actuarial Modeling, Predictive Analytics, Feature Selection, Data Preprocessing, Visualisations, reconciliation and Management Experienced in Python, R, Regression Models, Classification Models, Predictive Models, Time Series Models, Simulation Models, Dplyr programming, NLP, Semantic Analysis, GIT, Bitbucket, T SQL, PL/SQL, Tableau and Power BI Innovative team player proven to work under tight deadlines, multi task, adaptable to new technologies, quick learner and have also mentored many new hires as per company processes