Supreet Kaur Email and Phone Number
Born and raised in Delhi, India, my journey took a pivotal turn in 2017 when I moved to the U.S. to pursue my master’s degree. My career began in 2019 as a Data Scientist, where I built predictive models for demand forecasting that improved accuracy by 10%, ensuring more patients received their medicines on time.At ZS Associates, I advanced my data and AI expertise by developing AI strategies to support new drug launches and creating tools to extract insights from large prescription datasets.Seeking new challenges, I transitioned into the financial services sector at Morgan Stanley. I built a large-scale omnichannel personalization engine there, driving a 6X increase in net asset growth. I also patented an innovative testing strategy for measuring personalization engine performance. Additionally, I launched a Data Science apprenticeship program that expanded data science literacy among product managers and fostered cross-functional collaboration.Now, I’m a Data and AI Solutions Architect at Microsoft, designing and building AI solutions for major financial institutions on Azure. I also serve as a technical advisor and evangelist for cutting-edge Generative AI technologies.Outside of work, I’m actively involved in several initiatives:1. Google Women Techmakers Ambassador2. AI Project Lead, Delta Analytics3. Speaker at 40+ national and international events4. Author of 30+ thought leadership articles5. Featured in 10+ media outlets6. Co-inventor of a patent for an innovative AI-powered personalization engine testing strategyWhen I’m not contributing to the AI community or learning about the latest AI trends, you’ll find me:1. Exploring health and wellness topics2. Strength training3. Enjoying long walksLinkedIn is the best way to reach me. All views are my own and do not represent those of my current or previous employers.
Microsoft
View- Website:
- microsoft.com
- Employees:
- 189892
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Data And Ai Solutions ArchitectMicrosoft Jul 2024 - PresentNew York City Metropolitan Area
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Womentechmakers AmbassadorGoogle May 2022 - PresentUnited StatesSelected as one of the 200 ambassadors from the 10,000 applications received for this program. Responsibilities include but are not limited to:1. Engage the community by organizing sessions such as technical talks related to Technology2. Deliver a keynote on AI/ML to educate the community 3. Build content to educate the tech enthusiast on technology4. Be an advocate for women in technology -
Data And Ai StrategistMorgan Stanley Feb 2022 - Jul 2024New York City Metropolitan Area● Spearheaded the development of a groundbreaking testing strategy for AI products, doubling engineefficacy and enhancing data-driven decision-making.● Led the creation of a Python-based omnichannel personalization engine for high-net-worth clients, achieving a 6X increase in net new assets.● Applied ML techniques, including XGBOOST and Random Forest, to develop predictive models for asset● Developed a data product, incorporating external and internal data using fuzzy matching to significantly impact firm growth.● Innovated data product solutions for optimizing campaign strategies and reducing manual tasks● Initiated and led a Data Science apprenticeship program, enhancing the data science capabilities of product managers and fostering cross-functional collaboration. -
Data Science Advisor And MentorRutgers Professional Science Master'S Program Feb 2021 - Jan 2023New Brunswick, New Jersey, United StatesAdvise students on the externship and data science projectsMentor to the current MBS students on networking, pivoting in the industry and personal branding. Also a part of all the Alumni Speaker Series. -
Data And Ai ConsultantZs May 2020 - Feb 2022Princeton, New Jersey, United States• Designed a BERT-based classification system on GPU platforms, enhancing patient experience categorization and driving client revenue growth.• Developed a prospecting model utilizing TensorFlow k-means clustering to efficiently target and prioritize potential leads.• Engineered a hybrid cloud migration strategy employing Kubernetes, focusing on optimizing for GPU cloud instances. This strategy ensured the seamless integration of on-premise data centers with cloud technology.• Lead the coordination and communication of projects for multiple clients with respective development teams to ensure successful implementation among all stakeholders• Analyze and visualize data for various clients to drive business and marketing decision-making; created a dashboard to capture patient journeys and highlight product performance against competitor product lines -
Data ScientistPharmaace Feb 2019 - May 2020Greater New York City Area• Developed and optimized RNN and LSTM time-series forecasting models toenhance client demand planning, reducing write-offs by 35%.• Developed a proof of concept for detecting similarity in the launch trajectories of different products in different markets by leveraging various clustering techniques.• Outlined AI project scopes and established roadmaps for effective resourceallocation, supporting clients in formulating benchmark strategies, and assessingAI project ROI. -
Data Science InternGep Worldwide Dec 2017 - Dec 2018New Jersey• Research, design and implement state-of-the-art machine learning systems using predictive modelling and natural language processing to help achieve business goals.• Collaborate with engineering team to develop solutions for complex business challenges and product features.• Manage Big Data for training and deploying ML/NLP for business modules/search bots.• Work with large data sets- both structured and unstructured; design, develop and implement R&D solutions.• Perform data cleansing, feature engineering, apply statistical analysis, data visualization, and data mining.• Establish scalable, efficient, automated processes for model development, validation, implementation and data analysis. -
Predictive Analytics InternMunich Reinsurance America, Inc. May 2018 - Aug 2018Greater New York City Area• Led 3-month project predicting the probability of occurrence of claims for each vehicle policy.• Analyzed each policy using R, SAS and SQL to determine whether high or low risk; created risk scorecard for underwriter’s dashboard, and identified the risk drivers.• Presented findings/insights to senior executive team consisting of CEO, CFO and other senior leaders. -
Student WorkerRutgers Professional Science Master'S Program Apr 2017 - Dec 2017United States• Manage projects involving data scrubbing resulting in stronger program metrics.• Co-create strategy for website metrics supporting website and internet marketing metrics.• Analyze application process and student data utilizing database management tools resulting in the improved application process.
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Data Analytics InternRobertwood Johnson Hospital May 2017 - Sep 2017Rutgers,New Brunswick• Accomplished CITI training to get access to MIMIC-III data.• Data Wrangling for the purpose of prediction and analysis.• Logistic Regression was employed to predict the mortality of ICU patients using various vital signals.• Data Visualization was performed using Tableau.
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Finance InternAxa Assistance May 2015 - Jul 2015Summer internship
Supreet Kaur Education Details
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Mathematics -
Physics, Chemistry And Mathematics -
Alliance De FrancaisFrench Language And Literature
Frequently Asked Questions about Supreet Kaur
What company does Supreet Kaur work for?
Supreet Kaur works for Microsoft
What is Supreet Kaur's role at the current company?
Supreet Kaur's current role is LinkedIn Top Voice 2024 | Data & AI Solutions Architect | International Speaker | Patent Holder | Building Gen AI Solutions for Financial Services.
What schools did Supreet Kaur attend?
Supreet Kaur attended Rutgers University, Delhi University, Delhi Public School Rohini, Alliance De Francais.
Who are Supreet Kaur's colleagues?
Supreet Kaur's colleagues are Jim Chou, Jiang Fengmian, Linda Msibi, William Bunge, Harsha Nurjani, Bahaa Bebo, John William.
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