Driving complex data analyses and delivering actionable insights at Scotiabank | LakeheadU CS Grad (AI)


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ℹ️ About me


🎓 I’ve recently graduated with a Master’s in Computer Science from Lakehead University with a specialization in Artificial Intelligence.

🔭 I'm passionate about the field of Natural Language Processing (specifically, Computational Social Sciences), working to better understand how social media platforms steer the opinions of people**”.**

💻 Previously @ Lakehead University | Vector Institute | Cognizant | Capgemini

🏅 Vector Institute Artificial Intelligence Award ’20, Second Runner up at Smart India Hackathon'17 (National), First Runner Up at Innotech'17 (National), Winner at PEC Hackathon'16 (State).

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<aside> 📄 Resume

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👩🏻‍💻Where I’ve Worked


Capgemini (4 months)

Business Analyst (Jan’19 - Apr’19)

Cognizant (1 year 4 months)

Software Engineer (Jun’19 - Sep’20)

Lakehead University (1 year 3 months)

Graduate Research Assistant (May’21 - Aug’22)

Graduate Teaching Assistant (May’21-May’22)

Vector Institute (2 months)

Teaching Assistant, Machine Learning Black & Indigenous Program (Feb - Mar’22)

Scotiabank

Manager-Models & Analytics (Anti-Money Laundering/Anti-Terrorist Funding) (May’22-Present)

👩🏻‍🎓Where I’ve Studied


B.Tech (Computer Science and Engineering)

Chandigarh Group of Colleges, Mohali, Punjab, India (2015-19)

Grade: 3.7/4.0

🏅 Awards: Second Runner up at Smart India Hackathon’17 (National), First Runner Up at Innotech’17 (National), Winner at PEC Hackathon’16 (State), 2x Merit List

📚 Notable courses: Operating Systems, Data Structures and Algorithms, Discrete Mathematics, Computer Networking, Artificial Intelligence, Relational Databases, Object-Oriented Programming, Computer Architecture, System Programming, Software Engineering, Theory of Computation, Design and Analysis of Algorithms

M.Sc. (Computer Science, Specialization in Artificial Intelligence-Thesis)

Lakehead University, Thunder Bay, Ontario, Canada (2020-22)

Grade: 3.9/4.0

🏅 Awards: Vector Institute Award in Artificial Intelligence ‘20, 2x Faculty Research Award, International Graduate Student Research Award, 2x Faculty of Science and Environment Studies Award

📚 Notable courses: Machine Learning, Deep Learning, Natural Language Processing, Big Data, Ethical Issues in Artificial Intelligence

🔬Research


My research focuses on developing frameworks to better understand how social media platforms steer the opinions of people, specifically analyzing the Twitter behaviour of various political fronts in different geographies. These questions fall in the line of literature related to Natural Language Processing (NLP) and Computational Social Sciences. I use a mix of Statistics, Machine Learning, and NLP to solve the research questions.

Published

👩🏻‍🎨Some Things I’ve Built

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