Shrushti Agarwal

+91-981******* adiau3@r.postjobfree.com linkedin.com/in/shrushti-agarwal-7135611a9 EDUCATION

• NMIMS UNIVERITY

****-****, ******

Bachelors in Computer Engineering

CGPA: 3.43/4 (up to 2nd year)

TECHNICAL SKILLS

• Programming skills: C, Python, Java*

• Libraries: Tikinter, Pandas, Numpy, Scikit-learn, Opencv.

• Web-Development: HTML, CSS, Bootstrap, Javascript, Jquery, PHP, Node.js, React.js.

• Database: Oracle, MySQL, Sqlite, MongoDB

• Software-skills: Autocad*, Matlab, Octave, Anaconda*, Jupyter Notebook, Git*.

*functional knowledge

SKILLS

• Dependability

• Team work

• Adaptability

• Multitasking

• Creative

• Willingness to learn

PROJECTS

Car Rental Management System February 2020- April 2020

• This project facilitates the riders to book a car ride through the website without having to go through the hassle of calling. Used python library tikinter for front-end and connected it to a database. Understood the crux of python.

Be the Change Website October 2020- November 2020

• An interface for small NGO’s to connect with the people who are willing to donate. The project used HTML, CSS and Jquery for its front-end and PHP and phpMyAdmin database for its back-end. Blog Site November 2020- Present

• Used various technologies like React.js, Node.js, Jquery and MongoDB to create a website where a user can upload her/his contents. This project was mainly targeted to apply all the new technologies learnt. 2

Survived or Not May 2020-June 2020

• Used titanic data set and performed EDA and applied various machine learning algorithms like logistic regression, SVM, neural networks, Naïve Bayes and KNN and compared the performance of each of them on the data set.

Automated Real Time Sudoku Solver September 2020

• Performed pre-processing and extraction of images using Opencv, determined the content of the images by training the MNIST dataset, solved the puzzle and displayed the result on the screen. Smart Sleepiness Detector October 2020-November 2020

• Used Opencv to preprocess the image contents along with dlib (facial landmarks detector and predictor) library to check if the driver is sleepy or not. Since the project was inspired by Tesla it included system’s adaptation to brightness, detection of imminent risk and smart alarm shut down option. EXTRA-CURRICULAR ACTIVITIES

• Executive - 4C: Business Development and Marketing cell of NMIMS (2018-2019)

• Executive -Social Impact: A student’s committee that brings changes in other people lives (2018-2019)

• Volunteer - Angel Xpress Foundation: committed to development of underprivileged children

(August 2020- present)

CERTIFICATIONS

• Machine- Learning -Coursera

• Web Development -Udemy

• Deep-learning and neural networks-Coursera (Present)

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