Software engineer

Richa Patel

adxzzt@r.postjobfree.com 562-***-**** Milpitas CA LinkedIn GitHub

EDUCATION

• California State University Long Beach Aug 2021 – May 2023 Master’s in computer science

• Savitribai Phule Pune University June 2016 – May2020 Bachelor’s in computer engineering

TECHNICAL SKILLS

Languages: Python, Java, MATLAB, C++, OOPs,

Web Technologies: HTML/CSS, JSON, Django

Databases: MySQL, sqlite3, RDBMS

Libraries: numpy, pandas, scikit-learn, OpenCV, matplotlib, tkinter, turtle, keras, nltk Others: Data Structures and Algorithms, Git version control, Linux, Selenium, MS Office, PyCharm, MS Visual Studio, Debugging,

ACADEMIC WORK EXPERIENCE

• Nero – Search Engine Python, Sqlite3, Disk Indexing, Soundex, Data compression Aug 2022 – Dec 2022

• Designed and implemented a search engine to parse and analyze over 40,000 JSON documents containing data from Yosemite National Parks and Major League Baseball (MLB) datasets.

• Successfully indexed data to create a comprehensive search tool for users. Boosted system performance by 2x to improve data management and achieved precision of 43% and throughput of 1.75.

• Integrated search by author name functionality to allow users to easily search for similar sounding names.

• Social Distancing Python, YOLOv3, OpenCV Jan 2022 – May 2022

• Worked in a team to develop an ML model that detects social distancing violations in real-time video streams.

• Created a detection algorithm that uses color-coded boxes to identify individuals who are adhering to social distancing guidelines.

• Demonstrated proficiency in machine learning and algorithmic design through this project.

• Shopping Python, K-Nearest Neighbour Classifier, sklearn, confusion matrix June 2022 – Aug 2022

• Utilized KNN Classifier to predict shopping behavior of users on a shopping website with 83% accuracy.

• Evaluated model predictions using confusion matrix to measure the accuracy of the classifier.

• Demonstrated proficiency in data analysis and machine learning techniques through this project.

• Book Recommendation Web App sqlite3, HTML/CSS, Django, Collaborative Filtering Sept 2019 – May 2020

• Collaborated with a team of 4 to implement a book recommendation web app for 2 million users and books.

• Achieved 96% personalized recommendation accuracy with 0.042 error rate using explicit user ratings.

• Demonstrated skill in algorithmic design and database management to build a high-performance system for book recommendations.

ADDITIONAL EXPERIENCE

• Student Assistant – CSU Office of Chancellor May 2022 – May 2023

• Provided technical assistance to users, troubleshooting technical issues, and resolving them in a timely manner.

• Maintained database for devices, ensuring accurate and up-to-date information for the IT team.

• Documented incidents using ServiceNow ticketing system, ensuring that all requests were logged and tracked. COURSES / PUBLICATIONS

• Presented a paper on "Developing a Book Recommendation Web Application Using Django and Collaborative Filtering" at the International Conference on Pervasive Computing (ICPC 2020).

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