Arushi Kashyap Email & Phone Number
Who is Arushi Kashyap? Overview
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Arushi Kashyap is listed as SBS Intern - Global Services at Johnson & Johnson, a with 100890 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Arushi Kashyap.
Arushi Kashyap previously worked as Machine Learning Fellow at Jpmorganchase and ML/AI Fellow at Break Through Tech. Arushi Kashyap holds Bachelor'S Degree, Computer Science from Stevens Institute Of Technology.
Email format at Johnson & Johnson
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About Arushi Kashyap
I’m Arushi Kashyap, currently pursuing a B.S. in Computer Science with a minor in Finance at Stevens Institute of Technology, graduating in December 2026. With a focus on AI/ML, I’m passionate about how technology can drive efficiency and solve real-world challenges. Beyond technical skills, I thrive on strategizing solutions, quickly adapting to new concepts, and leading teams to success.I’ve had the opportunity to work on diverse projects, from optimizing business processes at Johnson & Johnson to conducting ML research at universities and developing investment recommendation models at J.P. Morgan. These experiences have sharpened my skills in machine learning, data analytics, and process intelligence, and have taught me the value of teamwork, communication, and continuous learning.Alongside my academic and professional pursuits, I’m actively involved in campus life as Chancellor of the business fraternity Delta Sigma Pi and a member of the Student Government Association (SGA), Stevens Women in CS (SWiCS), Women in Business (SWiB), and the Indian Undergraduate Association (IUA).Driven by curiosity and a passion for impact, I’m eager to explore new opportunities and collaborate with others to advance technology and solve complex problems.
Arushi Kashyap's current company
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Arushi Kashyap work experience
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Machine Learning Fellow
Current• Developed ML model to recommend startups to investors by leveraging publicly available investment data• Evaluated success metrics for recommendation engines, focusing on alignment with investor profiles, past investments, and potential startup success indicators
Ml/Ai Fellow
Current• Selected from 3000+ applicants for Break Through Tech AI, a year-long fellowship program designed to support women and other underrepresented people in AI, ML, and Data Science• Contributed towards 12-month long program including Machine Learning Certificate with Cornell faculty, experiential learning experiences, and mentorship from industry professionals
Chancellor
Current• Organized, led, and facilitated weekly informative chapter meetings with 30+ brothers, enforcing parliamentary procedures• Managed the individual discipline process and maintained chapter bylaws as Chair of the Chapter Standards Committee
Process Intelligence Intern
• Analyzed order management processes, identifying cash flow opportunity by resolving disputes and collection issues, reducing the cash conversion cycle from weeks to hours, and improving order entry billing accuracy• Conducted business and technical requirement gathering, validated data models, and assessed supplier RFP demos to align solutions with business needs• Utilized Celonis ML workbench for SLA predictions and KPI compliance, generating insights that demonstrated increase in operational efficiency• Led discovery calls with business stakeholders, presented data analysis, and conducted value assessments to drive decision-making• Created marketing materials, including a promotional video, to showcase process intelligence capabilities to executives
Data Analytics And Quality Assurance Intern
•Contributed to improve user interface by incorporating time-saving elements in product•Attended weekly calls to receive assignments, learn skills for website build, and self-report on progress for that week•Worked on data collection and spreadsheet management for credit roll analysis•Reviewed 2,000+ segments to extract and compile relevant data•Utilized HTML, CSS, and Javascript to create website regarding company’s services and products•Currently investigating the implementation of generative AI in product
Summer Camp Counselor
•Led engaging STEM activities and workshops for children•Ensured the well-being and safety of camp attendees by maintaining a secure and nurturing environment. Addressed children's needs and concerns with patience and empathy.•Effectively managed various challenges that arose during the camp, offering guidance and support to children. Developed strong interpersonal skills by fostering positive relationships with both campers and their parents.
Deep Learning Intern (Cycle 2)
•Generated data models, performed machine learning analysis, and helped produce reports outlining results•Synthesized research and delivered presentations with research summaries to research mentors•Met weekly with mentors to report findings on overheight vehicle detection methods, technologies, and more•Worked both independently and collaboratively with the head professor to execute projects•Collaborated with research mentors during 2022 to create research paper for journal submission
Deep Learning Intern (Cycle 1)
•Attended online courses (total of 8 hours) to improve overall knowledge and understanding of computational mathematics through coding with MATLAB + applied concepts of deep learning through neural networks (CNN, Pretrained Networks, Transfer Learning) •Generated data models, performed machine learning analysis and helped produce reports outlining results. •Prepared materials for reports and presentations. •Worked both independently and collaboratively with the head professor executing projects.
Student Research Assistant
•Attended weekly meetings with PhD students to report on and receive research updates•Took extensive notes on 30+ machine learning journal articles and research•Assisted a PhD student to analyze and interpret machine learning research from an application they created, made tocode physical movement from Alzheimer’s patient videos•Individually utilized Python to perform statistical analyses on data set drawn from application•Collaborated on creation of manuscript, especially on the Results section of paper•Edited manuscript as directed for submission for paper publication
Flight Test Intern
•Participated in software user test. Learned about product design criteria in order to contribute and improve Comet’s service. •Analyze user interface (UI) and experience (UX) and report results during test run. •Conducted market research, participated in focus groups, and tested incremental product versions •Collaborated with engineers and other departments to develop effective strategies and test plans
Colleagues at Johnson & Johnson
Other employees you can reach at jnj.com. View company contacts for 100890 employees →
Terry Hamalak
Colleague at Johnson & JohnsonEdison, New Jersey, United States
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MK
Merve Kaymakci
Colleague at Johnson & JohnsonIstanbul, Türkiye, Turkey
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EM
Ewan Mctaggart
Colleague at Johnson & JohnsonHigh Wycombe, England, United Kingdom
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LM
L M
Colleague at Johnson & JohnsonIreland
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FI
Fidan Ismayil
Colleague at Johnson & JohnsonNorth York, Ontario, Canada
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BS
Brenda Satterlee
Colleague at Johnson & JohnsonHowell Township, New Jersey, United States
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LM
Latisha Mhundwa
Colleague at Johnson & JohnsonCity Of Southampton, England, United Kingdom
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AS
Atiki Singhal
Colleague at Johnson & JohnsonBengaluru, Karnataka, India
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WM
Wilfredo Marquez
Colleague at Johnson & JohnsonPuerto Rico
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MP
Maria Paula Rodriguez Cardozo
Colleague at Johnson & JohnsonBogota, D.C., Capital District, Colombia
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Arushi Kashyap education
Bachelor'S Degree, Computer Science
High School Diploma, Computer Science
Frequently asked questions about Arushi Kashyap
Quick answers generated from the profile data available on this page.
What company does Arushi Kashyap work for?
Arushi Kashyap works for Johnson & Johnson.
What is Arushi Kashyap's role at Johnson & Johnson?
Arushi Kashyap is listed as SBS Intern - Global Services at Johnson & Johnson.
Where is Arushi Kashyap based?
Arushi Kashyap is based in New York City Metropolitan Area, United States while working with Johnson & Johnson.
What companies has Arushi Kashyap worked for?
Arushi Kashyap has worked for Johnson & Johnson, Jpmorganchase, Break Through Tech, Delta Sigma Pi - Omega Rho Chapter, and Future Today Inc.
Who are Arushi Kashyap's colleagues at Johnson & Johnson?
Arushi Kashyap's colleagues at Johnson & Johnson include Terry Hamalak, Merve Kaymakci, Ewan Mctaggart, L M, and Fidan Ismayil.
How can I contact Arushi Kashyap?
You can use AeroLeads to view verified contact signals for Arushi Kashyap at Johnson & Johnson, including work email, phone, and LinkedIn data when available.
What schools did Arushi Kashyap attend?
Arushi Kashyap holds Bachelor'S Degree, Computer Science from Stevens Institute Of Technology.
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