Jaspreet Singh Dhani Email & Phone Number
Who is Jaspreet Singh Dhani? Overview
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Jaspreet Singh Dhani is listed as Software Engineer - AI at Thomson Reuters, a with 35941 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Jaspreet Singh Dhani.
Jaspreet Singh Dhani previously worked as Software Developer at Lawyerdonedeal and Graduate Mentor (PRISM) at University Of Toronto. Jaspreet Singh Dhani holds Master Of Science, Applied Computing from University Of Toronto.
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About Jaspreet Singh Dhani
Jaspreet Singh Dhani is a Software Engineer - AI at Thomson Reuters. Colleagues describe them as "I am pleased to write this LinkedIn recommendation for Jaspreet, who reported directly to me during his 8-month internship at SOTI Inc. During his tenure, Jaspreet showcased great software development skills for proficiently writing code with professional practices. Moreover, I was impressed by his knowledge of machine learning and natural language processing. He was able to understand complex concepts and applied them effectively to solve real-world problems. In addition to his technical abilities, Jaspreet excelled in communication. He demonstrated the capability to explain technical details in a clear and understandable manner. I have no hesitation in recommending Jaspreet for future endeavors. I firmly believe his combination of technical expertise, problem-solving skills, and interpersonal qualities will make him outstanding in his career." and "I had the pleasure of working with Jaspreet on AI projects, and I can say with confidence that he is a good data scientist. Jaspreet consistently demonstrated a passion for programming, attention to detail, and a willingness to collaborate with team members to deliver high-quality code. I highly recommend Jaspreet to any team looking for a skilled and passionate developer who is committed to delivering excellent work."
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Jaspreet Singh Dhani work experience
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Software Developer
Graduate Mentor (Prism)
Research And Development Intern
1) Combined StarCoder and sBERT for Test Case Prioritization of 25000+ BDD tests.2) Utilized SpecFlow, Jenkins to gather test coverage features and to correlate BDD tests with code.3) Deployed Redis caching to expedite inferencing from a trained ensemble instance of 90% F1-Score, 85% Fault Coverage in under 40 seconds.4) Analyzed SOTI MobiControl test execution labels and usage distribution using Grafana.
Teaching Assistant
Office Hours TA for the course CSC148: Introduction to Computer Science
Ai Engineer
(On contract of Scimox Products and Services Pvt. Ltd for MNC Group, Indonesia)Contribution to development of MNC Media Recommendation Systems.1) BuddyKu News and Information: - Developed Implicit Feedback and Explicit Feedback Collaborative Filtering models with supporting re-training procedures.- Developed User Preferences Calculation Algorithm responsible for updating/identifying preferences based on user's most recent view trends.- Handled Cold-Start Problem by ameliorating rule-based recommender systems.- Participated in brainstorming to finalise the attribute for consumption by the recommendation pipeline.2) Vision+ Media and Entertainment:- Contributed to the creation of user profile attributed sub-network of 7M nodes and 13M links using Python, Gremlin and AWS Neptune.- Utilised user demographics and view-time behaviours to generate clusters and similarity relations among user profiles.
Grm Project Member
Research project on analysis of Indian IPR judgements as part of the IBM Global Remote Mentorship (GRM) initiative.- Collected IPR court cases, judgements from online repositories, sources using public APIs for information extraction, feature engineering and constructing a legal knowledge graph of 2200+ documents.- Derived an ontology for the legal knowledge graph by a combination of manual process and Topic Modeling using Latent Dirichlet Allocation (LDA).- Utilised 'Lawpoints' in addition to standard NER features for better representation of judicial context for downstream link prediction tasks.- Trained a case Link Prediction model using DGL Relational Graph Convolutional Network. The model returned an AUC score of 0.62 for the citation network.- Work accepted into KGKDD'21 Singapore as a workshop submission.
Data Analysis And Research Intern
- Performed predictive analysis on the Indian government census data to assist the core Technical andOperations teams in formulating the YKZINI vendor distribution algorithm.- Used data wrangling and parsing methodologies to extract and refine the social mediadata of competitor organisations.- Visually demonstrated daily, weekly and monthly vendor enrolment rates across multiple service categories.
Research Intern
Research project on sentiment analysis of Twitter data.- Worked on Twitter handles of various institutes of University of Delhi by collecting their respective tweets, replies and comments using 'tweepy' and 'python-twitter' APIs.- Surveyed literature on text-preprocessing methods and feature modelling techniques.- Developed parsing scripts to filter out unnecessary word/phrases/symbols.- Implemented Python script to conduct topic modeling and sentiment analysis for the considered Twitter profiles.- Developed dictionaries for mapping polarities for languages other than English ( majorly Hindi )
Colleagues at Thomson Reuters
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Nicole Lutes Fuentes
Colleague at Thomson ReutersSan Diego, California, United States
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Katharine Larsen
Colleague at Thomson ReutersNew York, United States
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Yuanzhong Zhang
Colleague at Thomson ReutersChina
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Harini V
Colleague at Thomson ReutersSalem, Tamil Nadu, India
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RM
Rajesh Mohandas - "Unlocking Benefits With Ai"
Colleague at Thomson ReutersBengaluru, Karnataka, India
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Prasad Umesh
Colleague at Thomson ReutersBengaluru, Karnataka, India
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พี่ Rose Mca Reuters
Colleague at Thomson ReutersBangkok, Bangkok City, Thailand
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Teri Kruk
Colleague at Thomson ReutersRochester, New York Metropolitan Area, United States
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Koppu Ramya
Colleague at Thomson ReutersKrishna, Andhra Pradesh, India
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Fransis 1
Colleague at Thomson ReutersHyderabad, Telangana, India
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Jaspreet Singh Dhani education
Master Of Science, Applied Computing
Masters Of Science - Msc, Computer Science, 9.598 / 10
Bachelor Of Science - Bsc (Hons.), Computer Science, 9.378 / 10
Frequently asked questions about Jaspreet Singh Dhani
Quick answers generated from the profile data available on this page.
What company does Jaspreet Singh Dhani work for?
Jaspreet Singh Dhani works for Thomson Reuters.
What is Jaspreet Singh Dhani's role at Thomson Reuters?
Jaspreet Singh Dhani is listed as Software Engineer - AI at Thomson Reuters.
Where is Jaspreet Singh Dhani based?
Jaspreet Singh Dhani is based in Toronto, Ontario, Canada while working with Thomson Reuters.
What companies has Jaspreet Singh Dhani worked for?
Jaspreet Singh Dhani has worked for Thomson Reuters, Lawyerdonedeal, University Of Toronto, Soti, and Mnc Group - Pt Mnc Investama, Tbk..
Who are Jaspreet Singh Dhani's colleagues at Thomson Reuters?
Jaspreet Singh Dhani's colleagues at Thomson Reuters include Nicole Lutes Fuentes, Katharine Larsen, Yuanzhong Zhang, Harini V, and Rajesh Mohandas - "Unlocking Benefits With Ai".
How can I contact Jaspreet Singh Dhani?
You can use AeroLeads to view verified contact signals for Jaspreet Singh Dhani at Thomson Reuters, including work email, phone, and LinkedIn data when available.
What schools did Jaspreet Singh Dhani attend?
Jaspreet Singh Dhani holds Master Of Science, Applied Computing from University Of Toronto.
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