Arushi Kashyap

Arushi Kashyap Email and Phone Number

SBS Intern - Global Services @ Johnson & Johnson
New York, NY, US
Arushi Kashyap's Location
New York City Metropolitan Area, United States
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 Details
Johnson & Johnson

Johnson & Johnson

View
SBS Intern - Global Services
New York, NY, US
Website:
jnj.com
Employees:
100890
Arushi Kashyap Work Experience Details
  • Johnson & Johnson
    Sbs Intern - Global Services
    Johnson & Johnson
    New York, Ny, Us
  • Jpmorganchase
    Machine Learning Fellow
    Jpmorganchase Aug 2024 - Present
    • 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
  • Break Through Tech
    Ml/Ai Fellow
    Break Through Tech May 2024 - Present
    Cornell University
    • 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
  • Delta Sigma Pi - Omega Rho Chapter
    Chancellor
    Delta Sigma Pi - Omega Rho Chapter Apr 2024 - Present
    Hoboken, New Jersey, United States
    • 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
  • Johnson & Johnson
    Process Intelligence Intern
    Johnson & Johnson May 2024 - Aug 2024
    New Brunswick, New Jersey, United States
    • 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
  • Future Today Inc
    Data Analytics And Quality Assurance Intern
    Future Today Inc Jun 2022 - Sep 2023
    •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
  • Esf Camps & Experiences
    Summer Camp Counselor
    Esf Camps & Experiences Jun 2023 - Aug 2023
    Princeton, New Jersey, United States
    •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.
  • The City College Of New York
    Deep Learning Intern (Cycle 2)
    The City College Of New York May 2022 - Dec 2022
    New York, United States
    •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
  • The City College Of New York
    Deep Learning Intern (Cycle 1)
    The City College Of New York Sep 2020 - Apr 2022
    New York, United States
    •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.
  • Northern Illinois University
    Student Research Assistant
    Northern Illinois University Dec 2021 - Sep 2022
    Remote
    •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
  • Comet
    Flight Test Intern
    Comet Jan 2022 - May 2022
    Remote
    •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

Arushi Kashyap Education Details

Frequently Asked Questions about Arushi Kashyap

What company does Arushi Kashyap work for?

Arushi Kashyap works for Johnson & Johnson

What is Arushi Kashyap's role at the current company?

Arushi Kashyap's current role is SBS Intern - Global Services.

What schools did Arushi Kashyap attend?

Arushi Kashyap attended Stevens Institute Of Technology, South Brunswick High School.

Who are Arushi Kashyap's colleagues?

Arushi Kashyap's colleagues are Shiqi Gu, Hafiz Ali Raza, Natalia Arias, Lourdes Barnuevo, He, Ping, Edit Bartha, Terry Hamalak.

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