Rahul Selvakumar
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Rahul Selvakumar Email & Phone Number

Analytics and Machine Learning Specialist at IAMGOLD Corporation
Location: Toronto, Ontario, Canada 8 work roles 2 schools
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Role
Analytics and Machine Learning Specialist
Location
Toronto, Ontario, Canada
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Rahul Selvakumar is listed as Analytics and Machine Learning Specialist at IAMGOLD Corporation, a with 2237 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Rahul Selvakumar.

Rahul Selvakumar previously worked as Student Research Analyst at University Of Toronto - Rotman School Of Management and Statistical Consultant at Glare Lab. Rahul Selvakumar holds Bachelor Of Science - Bs, Statistics And Economics Majors With Math, 3.76/4.00 from University Of Toronto.

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About Rahul Selvakumar

I am a Student Research Analyst at the University of Toronto - Rotman School of Management, where I contribute to a significant research initiative aimed at pioneering new strategies in educational administration and decision-making processes. I am also pursuing a Bachelor of Science degree in Statistics and Economics with Math, which has equipped me with strong analytical and quantitative skills and a solid foundation in data science and machine learning.In my current role, I engage in an applied research project that leverages Markov Decision Processes (MDPs) to enhance dynamic decision-making in student enrollment, utilizing a data-driven offline learning approach and reinforcement learning techniques. I also work as a Statistical Consultant at GLARE LAB, where I conduct in-depth descriptive and time series analyses to elucidate lizard movement patterns, applying signal processing, MCMC, dynamical linear models, HMMs, and GLMMs. Additionally, I am a Machine Learning Engineer at UTMIST, where I develop a real-time data pipeline and innovate in market trend forecasting by designing HMMs and integrating them with model-free reinforcement learning frameworks. I am passionate about applying data analysis and machine learning methods to solve real-world problems and generate valuable insights. I value collaboration, innovation, and diversity, and I seek to bring my expertise and experience to a team that shares these values and goals.

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Rahul Selvakumar's current company

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IAMGOLD Corporation
Iamgold Corporation
Analytics and Machine Learning Specialist
Toronto, ON, CA
Website
Employees
2237
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8 roles

Rahul Selvakumar work experience

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Student Research Analyst

Toronto, Ontario, Canada

Operated under the guidance of esteemed professors at Rotman, contributing to a significant research initiative aimed at pioneering new strategies in educational administration and decision-making processes.Engaging in an applied research project aimed at enhancing dynamic decision-making in student enrollment through the integration of time-based information into Markov Decision Processes (MDPs).Conducted iterative solutions of MDPs, comparing scenarios with and without awaited offers… Show more Operated under the guidance of esteemed professors at Rotman, contributing to a significant research initiative aimed at pioneering new strategies in educational administration and decision-making processes.Engaging in an applied research project aimed at enhancing dynamic decision-making in student enrollment through the integration of time-based information into Markov Decision Processes (MDPs).Conducted iterative solutions of MDPs, comparing scenarios with and without awaited offers to assess improvements in dynamic offer strategies.Utilized a data-driven offline learning approach, applying reinforcement learning techniques within a rich tabular data environment to refine enrollment decision models.Employed advanced computational tools including PyTorch and OpenAI Gym for modeling and simulation, contributing to the development of robust optimization methodologies. Show less

Statistical Consultant

Glare Lab

Greater Toronto And Hamilton Area, Ontario, Canada

Conducted in-depth descriptive and time series analyses to elucidate lizard movement patterns, utilizing signal processing techniques to extract features from raw video and tabular data.Applied Markov Chain Monte Carlo (MCMC) and dynamical linear models to synthesize latent movement data, enhancing the dataset for more accurate behavioral analysis.Employed Hidden Markov Models (HMM) for classifying latent movement types and Generalized Linear Mixed Models (GLMMs) to pinpoint significant… Show more Conducted in-depth descriptive and time series analyses to elucidate lizard movement patterns, utilizing signal processing techniques to extract features from raw video and tabular data.Applied Markov Chain Monte Carlo (MCMC) and dynamical linear models to synthesize latent movement data, enhancing the dataset for more accurate behavioral analysis.Employed Hidden Markov Models (HMM) for classifying latent movement types and Generalized Linear Mixed Models (GLMMs) to pinpoint significant movement characteristics, revealing sex-based differences in lizard navigation in curvy environments.Managed data processing and analysis using R and Rstan, maintaining codebase and version control with Git, ensuring rigorous data integrity and analytical consistency. Show less

Machine Learning Engineer

Toronto, Ontario, Canada

Developed a real-time data pipeline utilizing scrapy-splash, Python, and NoSQL databases, enabling efficient data scraping from economic calendars and seamless integration with financial datasets for analysis.Innovated in market trend forecasting by designing Hidden Markov Models (HMMs) to analyze latent spaces, significantly enhancing the predictive accuracy of Forex market movements.Integrated HMMs with model-free reinforcement learning frameworks, optimizing trading strategies by… Show more Developed a real-time data pipeline utilizing scrapy-splash, Python, and NoSQL databases, enabling efficient data scraping from economic calendars and seamless integration with financial datasets for analysis.Innovated in market trend forecasting by designing Hidden Markov Models (HMMs) to analyze latent spaces, significantly enhancing the predictive accuracy of Forex market movements.Integrated HMMs with model-free reinforcement learning frameworks, optimizing trading strategies by improving risk-reward ratios through data-driven decision-making.Overcame collaboration challenges within a large team by implementing SCRUM methodologies, fostering a productive and self-organizing team environment that accelerated project progress and improved outcome delivery. Show less

Machine Learning And Data Science Intern

Toronto, Ontario, Canada

Conducted comprehensive data analysis on student application data to inform offer timing strategies and developed a dashboard by utilizing Python, PyTorch, PostgreSQL, and PySpark for predictive modelling and Node.Js to create a dashboard.Developed and implemented survival and risk analysis methodologies to assess the impact of offer timing on student responses, enhancing the decision-making process for admissions.Created predictive models to forecast the risk of student… Show more Conducted comprehensive data analysis on student application data to inform offer timing strategies and developed a dashboard by utilizing Python, PyTorch, PostgreSQL, and PySpark for predictive modelling and Node.Js to create a dashboard.Developed and implemented survival and risk analysis methodologies to assess the impact of offer timing on student responses, enhancing the decision-making process for admissions.Created predictive models to forecast the risk of student admissions and response times, integrating decision theory principles to refine admissions criteria and improve operational efficiency.Helped Integrate predictive models into internal dashboards and tools for the admissions team, translating analytical and predictive findings into actionable insights for strategic planning and decision-making.Collaborated closely with the admissions data team for data querying and pipeline creation, and presented key insights and recommendations to the leadership team. Show less

May 2023 - Dec 2023

Student Commons Assistant

Toronto, Ontario, Canada

Spearheaded the development and execution of a dynamic social media strategy, aimed at disseminating academic information to students through engaging content. Utilized tools such as Canva, Instagram, and advanced video editing software to create visually appealing and informative posts.Managed a technology-driven environment, ensuring the seamless operation of various devices and digital screens. Regularly conducted IT troubleshooting and maintenance to maintain optimal functionality… Show more Spearheaded the development and execution of a dynamic social media strategy, aimed at disseminating academic information to students through engaging content. Utilized tools such as Canva, Instagram, and advanced video editing software to create visually appealing and informative posts.Managed a technology-driven environment, ensuring the seamless operation of various devices and digital screens. Regularly conducted IT troubleshooting and maintenance to maintain optimal functionality and user experience.Excelled in student support and issue resolution by efficiently connecting students with appropriate resources and personnel. Demonstrated a strong ability to identify and address student needs, providing timely and effective solutions.Contributed significantly to student recruitment initiatives through public speaking engagements. Played a key role in communicating with incoming students, effectively representing the institution and fostering a welcoming and informative atmosphere. Show less

Nov 2021 - Nov 2023

Research Assistant

Statistics Ethics Research Cohort

Conducted in-depth research on Explainable and Interpretable AI, comparing these models to Black-Box models in healthcare settings. This involved reviewing a wide range of papers, synthesizing their key findings, and developing coding demonstrations to elucidate complex concepts for both the statistical cohort and a broader audience.Led a comprehensive project on the ethical implications of bias in generative and text-based models, creating detailed paper-style summaries that include key… Show more Conducted in-depth research on Explainable and Interpretable AI, comparing these models to Black-Box models in healthcare settings. This involved reviewing a wide range of papers, synthesizing their key findings, and developing coding demonstrations to elucidate complex concepts for both the statistical cohort and a broader audience.Led a comprehensive project on the ethical implications of bias in generative and text-based models, creating detailed paper-style summaries that include key facts, diagrams, and practical demonstrations to highlight the ethical considerations in model development.Engaged with members of the Statistical Sciences Ethics Cohort and the wider community to communicate complex statistical ethics topics, fostering an environment of learning and discussion around ethical practices in statistical and AI research. Show less

May 2023 - Aug 2023

Mentorship Programs Assistant

Toronto, Ontario, Canada

Played a pivotal role in the STA130 program within the Department of Statistical Sciences, supporting over 1000 students and a team of 20 mentors. Coordinated with mentors to facilitate a range of activities, including event planning and execution of mentorship sessions.Demonstrated innovation and responsiveness to student needs by developing a learning R series. This initiative was based on student feedback and aimed at enhancing campus-wide learning resources for statistical… Show more Played a pivotal role in the STA130 program within the Department of Statistical Sciences, supporting over 1000 students and a team of 20 mentors. Coordinated with mentors to facilitate a range of activities, including event planning and execution of mentorship sessions.Demonstrated innovation and responsiveness to student needs by developing a learning R series. This initiative was based on student feedback and aimed at enhancing campus-wide learning resources for statistical software.Managed a variety of administrative tasks with efficiency and precision. This included overseeing event attendance, coordinating room bookings, and assisting in payroll processes, ensuring smooth operation of the mentorship program. Show less

Sep 2022 - Apr 2023
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Colleagues at IAMGOLD Corporation

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2 education records

Rahul Selvakumar education

Bachelor Of Science - Bs, Statistics And Economics Majors With Math, 3.76/4.00

Activities and Societies: Deans List - 2021, 2022, 2023 A quantitative degree with a large focus on applying theoretical statistical.

Ibdp, Economics, Math, History, 42/45, 7 In Economics Hl, 6 In Math Hl, 6 In History Hl

Activities and Societies: Co-founder SafeSpace, Co-founder of Contemporary Economic Discussion group, Writer for The Economic Forum.

FAQ

Frequently asked questions about Rahul Selvakumar

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What company does Rahul Selvakumar work for?

Rahul Selvakumar works for IAMGOLD Corporation.

What is Rahul Selvakumar's role at IAMGOLD Corporation?

Rahul Selvakumar is listed as Analytics and Machine Learning Specialist at IAMGOLD Corporation.

Where is Rahul Selvakumar based?

Rahul Selvakumar is based in Toronto, Ontario, Canada while working with IAMGOLD Corporation.

What companies has Rahul Selvakumar worked for?

Rahul Selvakumar has worked for Iamgold Corporation, University Of Toronto - Rotman School Of Management, Glare Lab, University Of Toronto Machine Intelligence Student Team (Utmist), and University Of Toronto Scarborough.

Who are Rahul Selvakumar's colleagues at IAMGOLD Corporation?

Rahul Selvakumar's colleagues at IAMGOLD Corporation include Rémi Lapointe, 李雪磊, Nick Den Hartog, P.Eng, Mba, Pmp, Gaby Jella, and Patrick Rouillard.

How can I contact Rahul Selvakumar?

You can use AeroLeads to view verified contact signals for Rahul Selvakumar at IAMGOLD Corporation, including work email, phone, and LinkedIn data when available.

What schools did Rahul Selvakumar attend?

Rahul Selvakumar holds Bachelor Of Science - Bs, Statistics And Economics Majors With Math, 3.76/4.00 from University Of Toronto.

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