Jahanvi Khambalkar

Email : dl32738@umbc.edu

Mobile : +1 667-464-5245

LinkedIn : linkedin.com/in/jahanvi2299

Education

• University of Maryland, Baltimore County Baltimore, MD

  Aug 2022 - May 2024

  • Master of Professional Studies in Data Science

• L.D.R.P Institute of Technology and Research Gujarat, India

  Aug 2017 - May 2021

  • Bachelor of Engineering in Computer Engineering

Technical Skills

• Languages: Python, C/C++, Java, HTML, CSS, JavaScript
• Libraries: TensorFlow, Pandas, NumPy, Keras, OpenCV, SciKit-Learn, Matplotlib, Seaborn, PyTorch
• Frameworks: Bootstrap, Kivy, Android
• Tools: Jupyter Notebook, Git, PyCharm, Visual Studio Code, Android Studio, Octave, MATLAB

Experience

• Nimblechapps Pvt. Ltd. - Web Developer Intern

  Apr 2021 - Oct 2021

  • Designed and developed interactive web applications using ReactJS and NodeJS
  • Constructed User Interfaces and backend services for business processes
  • Devised solutions using test driven approach
  • Implemented security protocols, data protection measures, and storage solutions

• The Sparks Foundation - Data Science & Business Analytics Intern

  Jan 2021 - Apr 2021

  • Performed Exploratory Data Analysis to derive solutions to business problems
  • Trained and deployed Supervised Machine Learning models for outcome prediction
  • Identified weak areas that can be improved to generate more revenue
  • Provided solutions that contributed in decision making process for the business

Projects

• Facial Emotion Detection using Deep Learning

  Dec. 2022

  • Built a web-app with flask utilizing deep neural networks for expression classification
    from a facial image or video
  • Introduced time-continuous dimensional descriptions of emotions (e.g., arousal, valence) to analyze
    both categorical and continuous changes in expression and enhance the representation of the
    full spectrum of emotions

• One Shot Face Recognition using Deep Learning

  March. 2021

  • Constructed a program that captured and detected faces within image or live video
  • Generate embedding vectors of input and output was given based on these vectors using VGG-32 network

  
  
• Mini Desktop Assistant (Personal Project)

  Dec. 2020

  • Programmed an assistant application in Python that performs tasks such as playing music and opening apps
    over voice command; responses were formulated using text-to-speech feature
  • Integrated functionality to send/schedule Emails and WhatsApp texts over voice command

• Optical Character Recognition Application using Machine Learning

  Nov. 2020

  • Created an application to recognize and extract text within a digital image or scanned document
  • Converted image to gray-scale and performed morphological operations like erosion and dilation on the image
    to emphasize on character edges to better understand text

Certificates

• “Machine Learning Course” by Stanford University - Coursera
• “Fundamentals of Digital Marketing” by Google Digital Garage

Extracurricular Activities

• Finalist team member of Gujarat Industrial Hackathon 2018-19 (State level hackathon)
• Event Volunteer at Xenisis - 2018 and Xenisis - 2019 (College Tech Fest)