Sanjitha Singh

Full Stack Developer

A computer science major with 18 months of internship experience in full-stack development and machine learning looking to build something I can be proud of.

adf2t8@r.postjobfree.com +91-974*******

Bangalore sanjitha-singh.herokuapp.com/

linkedin.com/in/sanjitha-singh github.com/SanjithaSingh EDUCATION

B.E - Computer Science

Dayananda Sagar College of Engineering

06/2016 - 06/2020, CGPA - 9.2

WORK EXPERIENCE

Intern

PayPal

01/2020 - 06/2020, Bangalore

Reduced the False Positives by 27.6% in a tool for scanning hardcoded credentials.

Improved the False Negatives detection rate by 61.2%. Wrote unit test cases and optimized the scan pipeline. Intern

Giftolexia Technological Solutions Limited

08/2018 - 07/2019, Bangalore

Detection of early signs of dyslexia in school children by analyzing their gaze patterns while reading.

Automated the pre-processing of raw data.

Implemented an alternative visualization technique. Created a web-based checklist that identifies a child’s dyslexia risk via a questionnaire.

VOLUNTEER EXPERIENCE

Shree Sai Sadhbhaavana School

(07/2020 - 08/2020)

Worked as Computer trainer for both students and staff.Taught English and Science to Grades VI - X.

SKILLS

Python JavaScript Node.js Django

Flask HTML CSS Bootstrap

MongoDB MySQL Machine Learning

CI/CD NLP Git

PERSONAL PROJECTS

Unified Database API

A unified database API based on REST framework for

performing uniform CRUD operations for both Relational and Non-Relational Databases.

Designed the front-end with HTML, CSS, JS and Bootstrap 4. Integrated MongoDB support for the API built on Flask. Technology Used: Flask, HTML, CSS, JS, MySQL, MongoDB. StarSocial

A reddit like social media site to create communities to share posts and discuss topics.Registered members submit content to the site such as links, text posts, and images. Technology Used: Django, HTML, CSS, JS, PostgreSQL. Online Student Portal

A simple web-based portal for students to check their marks and access resources, circulars and other notifications pertaining to college and departments.

Designed the front-end with HTML, CSS, JS and Bootstrap 4; expanded the server-side to include read-more and

comments.

Technology Used: HTML, CSS, JS, MongoDB, Node.js.

Product Categorization

A supervised machine learning model to categorize products into different categories based on the product title. Using these categories, advertisements can be displayed to different customers based on their preferences.

Roles: Data preprocessing, cross validation, training the model and determining the precision of the model.

Technology Used: Python, ML libraries for data classification and NLP.

YelpCamp

A web-based ‘social-networking’ site that focuses on reviewing campgrounds and sharing information about them. Technology Used: HTML, CSS, JS, MongoDB, Node.js.

Achievements

Tasks

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