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North Carolina Computer Science

Location:
Charlotte, NC
Posted:
February 25, 2024

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Resume:

Meet Malde

+1-980-***-**** ad3wnw@r.postjobfree.com https://www.linkedin.com/in/meet-malde-a9b766170/

Education

University Of North Carolina at Charlotte Charlotte, USA Masters in Computer Science — GPA: 3.85/4 08/2022 - 05/2024 MIT World Peace University Pune, India

BTech in Computer Science — GPA: 8.8/10 08/2018 - 05/2022 Technical Skills

Languages: Python, C++, Java, JavaScript, HTML, CSS, PHP Frameworks/Libraries: Angular 8, React.js, Node.js, Bootstrap Database/Cloud Technologies: MongoDB, MySQL, SQLite, AWS Programming Skills: Object Oriented Design, Data Structures and Algorithms, Design Patterns Experience

Teaching Assistant

University of North Carolina at Charlotte 08/2023 - Present

• Assisted Professor Angela as a Teaching Assistant for the Data Structures and Algorithms course, facilitating student learning through more than 10 review sessions, addressing queries, and providing additional support, resulting in a 95% satisfaction rate among students.

• Played a pivotal role in fostering a conducive learning environment, contributing to the success of the Data Structures and Algorithms class.

• Conducted interactive sessions on algorithm correctness and asymptotic efficiency analysis, promoting critical thinking skills, and organized 5 workshops on applying algorithm design paradigms and standard techniques for problem-solving.

Software Developer Intern Pune, India

Pimpri Chinchwad Police Commissionerate 03/2021 - 09/2021

• Spearheaded the development of an offline Complaint Registration and Management System, resulting in a 30% increase in case resolution efficiency and the streamlined management of complaint records.

• Utilized HTML, CSS, jQuery, and integrated them within a PHP and SQL environment to craft dynamic and user-friendly pages, leveraging the Electron framework and WAMP architecture.

• Implemented AES encryption to safeguard information, ensuring that decrypted details were exclusively accessible to authorized personnel such as SHOs, Investigators, Supervisors, and Super Users.

• Collaborated closely with Cyber Security Officers and clients to gather requirements and tailor functionality, ensuring alignment with stakeholder needs.

Projects

Library Management System [HTML,CSS,JavaScript,PHP,Mysql]

• Designed and developed a comprehensive library management system utilizing frontend technologies such as HTML, CSS, and JavaScript, incorporating features for member and staff management, chatbot integration, and automated late-fee calculation to enhance operational efficiency.

• Employed a simple and intuitive graphical user interface (GUI) for performing all functions, resulting in increased user adoption and reduced training requirements.

• Deployed stringent backend security measures leveraging PHP and MySQL, including password-protected access controls and login IDs, to ensure data confidentiality and prevent unauthorized access to sensitive information. Stock Market Prediction and Forecasting [Python, ML algorithms, Matplotlib]

• Implemented a machine learning model for predicting stock market values using Long Short Term Memory

(LSTM) and Linear Regression algorithms, achieving accurate results.

• Conducted research on existing literature on stock market prediction systems, and implemented the proposed algorithm for predicting future stock market values using historical data on Apple stock prices.

• Utilized graphical analysis and LSTM deep learning technique to mitigate the evanescent gradient issue and achieved an accuracy rate of 90% in predicting a stock’s eventual closing value over a specific time period in future. Netflix Data Analysis [Tableau]

• Created an interactive Netflix dashboard using Tableau with map views, line charts, and bar charts.

• Designed map view for content by country and line chart for distribution by year.

• Implemented filters for easy exploration, enabling users to analyze top genres and content distribution by type and country.

• Fostered a user-friendly environment for stakeholders to glean insights into Netflix content trends.



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