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Big Data Machine Learning

Location:
San Jose, CA
Posted:
October 30, 2023

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Resume:

NINAD DHURI

San Jose, CA-***** +1-669-***-**** ad0qnr@r.postjobfree.com LinkedIn Github

Education

Master of Science, Computer Engineering Expected May 2024

San Jose State University

Bachelor of Engineering, Computer Science July 2019

Terna Engineering College

Relevant Coursework: Data Mining, Machine Learning, Data Structures and Algorithms in C++, Big Data Engineering and Analytics, Web UI Design and Development, Data Warehouse and Mining, Artificial Intelligence, Cloud Computing

Projects

Drowsiness Detector for Driving (https://bit.ly/3m6F9P8) Aug 2022-Dec 2022

•An emergency SMS using Twilio API if the driver has closed their eyes for more than 5 seconds increasing the safety of the driver and passenger

•Deployed the application using Heroku. Built a Django application using OpenCV, NumPy, and Pandas to detect if

the driver has slept while driving by analyzing 68 coordinates that map to the driver’s face

Movie Sentiment Analysis (https://bit.ly/3Y4X4D7) Jan 2022-May 2022

•Utilized big data analytics to build a sentiment analysis model that accurately classified unseen reviews, achieving 83% accuracy

•Utilized R language for data exploration yielding 50% more cost-efficient insights into customer preferences. Launched deployment of Cassandra to store and manage high-volume datasets, streamlining data analysis by 40%

•Implemented SparkML & Spark SQL solutions to automate and process large datasets, driving data processing speed up by 20%. Harnessed ggplot2 visualizations for a comprehensive view of complex datasets, improving comprehension by 30%

Tinder for Dogs Aug 2021-Dec 2021

•Developed a comprehensive algorithm to efficiently match 24K dogs factoring location, age, breed & interests to improve accuracy and engagement

•Designed the user interface and experience of the application, including the creation of wireframes, mockups, and prototypes to ensure optimal user engagement and experience

•Conducted market research and analysis to identify potential competitors, market trends, and user needs, and implemented various features, including a chat function, geolocation tracking, and social media integration, to differentiate the application from its competitors

Publications

•"A Survey on Data Storage Techniques in Cloud Computing." (2019)" https://bit.ly/3EyI0Hk

•Authored a paper titled “Using Cloud Infrastructure as computing power for Robotic and Autonomous Systems”

Work Experience

Blackmore Partners Chicago, USA

Intern June 2023 – Aug 2023

•Implemented a streamlined ticketing system, resulting in a 25% reduction in average resolution time for IT-related tasks

•Collaborated with a team of developers to learn and implement new technical stacks such as React and Node.js, resulting in a 30% increase in project efficiency

•Developed and implemented new software systems to streamline data management processes, reducing data retrieval time by 30%.

Ugam Thane, India

Associate Analyst Jan 2021-June 2021

•Developed programming template to automate survey proctoring processes HTML, CSS, JS, and Fortran., reducing questionnaire creation time by 60%

•Formulated and executed the design of questionnaires tailored to specific customer needs with over 500+ variations

•Created coding rules for automated quality assurance checks, ensuring accuracy in data collection across 400+ surveys

Reliance Jio Navi Mumbai, India

Assistant Manager Aug 2019-Jan 2020

•Conducted rigorous testing of 100+ apps, resulting in the successful resolution of 75% of software issues and a 50% reduction in customer service inquiries

•Implemented and managed end-user Automation, and CICD (Continuous Integration and Continuous Delivery) of the application on environments like Android, Windows, and Mac OS

Technical Skills

Programming Languages: Java, JavaScript, Node.js, React JS, Angular JS, C, C++, HTML5, PHP, CSS Databases: MySQL, MongoDB, Firebase Softwares: Kubernetes, IBM SPSS, FileZilla, NumPy, Heroku, Twilio, Spark ML, Spark SQL, AWS Cloud



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