Machine Learning Computer Science

*** * ****** **** ****

Bensenville, *****

+1-224-***-****

**************@*****.***

SAI SARANYA DASARI

EDUCATION

MS in Computer Science, Loyola University chicago, IL(GPA: 3.5) May 2024 Object Oriented Programming and Development, Mark-up Languages, Algorithms & Complexity, Network Security, Computer Security, Client-side Web development, Biometrics, Deep Learning. Bachelors in Computer Science, India(3.19) Aug 2018 - July 2024 Machine Learning, Data structures, Python, Software Engineering, Object oriented Programming, Computer Networks.

SKILLS

Web Technologies:

Frontend Development:

● Languages: HTML, CSS, JavaScript

● JavaScript Frameworks: React, Angular, Vue.js

● CSS Frameworks: Bootstrap, Tailwind CSS

Backend Development:

● Languages: Node.js, PHP, Python

● Frameworks: Express.js, Django, Flask

Databases:

● Relational: MySQL, PostgreSQL

● NoSQL: MongoDB

Version Control: Git, GitHub, GitLab

Deployment and DevOps:

● Tools: Docker, Jenkins, Kubernetes, AWS

CERTIFICATIONS

● Certified Python Developer by University of Michigan(2021)

● Certified Front end Developer(2022)

● Certified Volunteer in the National Service Scheme by JNTUK(2019-2022).

● Badge member in ISC2 cybersecurity organization. PROJECTS

Fingerprint Authentication & Acquisition:

Technology Used: Machine Learning Algorithms.

Language: Python.

Our project aims to enhance security measures through the implementation of advanced biometric technology. The main objective is to develop a robust fingerprint authentication system for secure access control and identity verification. LUC CTA TRACKER:

Web Technologies Used: Html, CSS, Java Script.

Language: Java.

Our application, the LUC CTA Tracker, aims to find updated information about the CTA routes. The LUC CTA Tracker is a simple, minimal yet intuitive single page application that can be used to view concise information that is readily relevant and constantly changing regarding CTA train and bus schedules at the stops Loyola University students use most frequently to get between Lakeshore and Water Tower campuses. Our goal with the project was to make the process of finding real-time data about CTA arrival times as simple as visiting a single webpage, no menus or confusing route options to tap through.

SYS ENG HEALTH CLUB:

Web Technologies Used: Html, Java Script.

Language: Python.

Database: MySQL The SysEng Health Club Membership system is a software designed to handle the administrative and operational aspects of running a health club. This feature would handle the entire lifecycle of a member, from initial sign-up, profile management, membership renewals, and cancellations. It includes storing personal information, membership types, payment history, fitness assessments and progress tracking.

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