Supreet Kaur Email & Phone Number

New York City Metropolitan Area

United States

Selected 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

New 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.

New Brunswick, New Jersey, United States

Advise 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.

Princeton, 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

Greater 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.

New 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.

Greater 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.

United 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.

Rutgers,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.

Summer internship

Mbs : Data Sciences, Data Analytics, 3.7

Bachelor Of Science - Bs, Mathematics

High School, Physics, Chemistry And Mathematics

Certificate Course In French, French Language And Literature