Aditya Maniar

Address: Harrison, NJ, ***** Email: adxg9h@r.postjobfree.com Github: github.com/adityamaniar202 Linkedin: linkedin.com/in/aditya-maniar Phone: 732-***-**** As a highly motivated and skilled MS in Computer Science student, I am proficient in Python, Java, SQL, and have experience with software modules such as Pandas, NumPy, Keras, Tensorflow, and OpenCV. I have established a strong foundation in Machine Learning, Data Analysis, Databases, and Software Development. Along with the above mentioned technologies, I also have project experience involving React.js for creating a responsive user interface, Node.js and Springboot for creating backend API’s, and MongoDB and MySQL for managing databases. With experience of various projects, combined with my passion for learning and problem-solving, make me a motivated and dedicated candidate for software development and data-related roles Skills and Interests

Languages: Python, Java, MySQL, PL/SQL, R, React.js, Node.js, SpringBoot, REST API’s Software Modules: Pandas, NumPy, Keras, Tensorflow, NLTK, OpenCV, Django, Streamlit Software Tools: MySQL Workbench, Oracle SQL Developer, JupyterLab, ApacheAMQ, Visual Studio, Github Skills: Data Analysis, Software Development, Agile/Waterfall Methodology, Machine Learning Education

Masters in Computer Science, New Jersey Institute of Technology, Newark, GPA: 3.6 [Sept 2021-May 2023] Coursework: Machine Learning, Advanced Database Management Systems, Data Structures and Algorithms, Data Mining, Operating Systems Design, Internet and Higher Layer protocols, Applied Statistics Bachelors in Electronics Engineering, University of Mumbai, Mumbai GPA: 7.8 [June 2017-May 2021] Coursework: Object Oriented Programming, Internet of Things, Database Management System, Digital Image Processing, Computer Communication Networks

Projects

Cobra Capital [Pandas,Numpy,API’s,Django,NLTK,SQL] [July 2022-Present]

● Used various NLP techniques to preprocess and extract keywords from Stock Market data for important investment decisions

● Used analysed market data to place trades using TD Ameritrade API’s with proper risk management strategies

● Worked with a team of 3 developers to achieve around 90% accuracy on predictions thereby averaging a profit of over 40% per week

Equity Portfolio Management [Python,Pandas,Plotly,Matplotlib] [Jan 2023-Feb 2023]

● Developed and implemented a Python algorithm for a 5 day rebalancing of buying low/high strategy on past stock data, resulting in a significant increase in investment returns

● Utilised Python programming language to analyse and identify periods of low stock prices, triggering buying actions for identified stocks and selling them after a 5-day period to lock in gains

● Generated impressive returns, showcasing a strong understanding of investment principles, financial analysis, and programming skills

Crypto Forecast [Python, Streamlit, Pandas, API’s] [Jan 2023-March 2023]

● Developed LSTM and CNN models to forecast the future values of various Crypto Currencies with high accuracy, achieving an average prediction accuracy of over 90%

● Utilised an API to fetch current and historical data of various cryptocurrencies, collecting over 100,000 data points for analysis

● Developed a user-friendly dashboard using Streamlit, which allowed for easy visualisation of real-time forecasted data for each day

E-Commerce Website [SQL, MySQLWorkbench, Node.js, React.js] [March 2022-May 2022]

● Designed a fully functioning Database Driven Website for sale of Electronic products

● Used MySQL Workbench to manage the database, React.js to design the website, and Node.js for the backend support Sonar, an Authenticated Message Transfer Protocol [ApacheAMQ,Java] [Sept 2021-Dec 2021]

● Programmed a Publish Subscribe communication model focusing mainly on Authentication and Security

● Used Java for formatting the messages and ApacheAMQ as the intermediate broker

● Useful application for scenarios where fraud/fake messages are involved Social Distance Detector [Image Processing, OpenCV, YOLO3] [Feb 2021-June 2021]

● Designed a Computer Vision based project to detect the distance between people in public places, thereby maintaining Social Distance

● Used YOLO3 model and OpenCV for Object Detection, Object Classification, and Distance Calculation

● Used Raspberry Pi 4 for processing the images on external hardware Experience

Teaching Assistant - New Jersey Institute Of Technology, Newark [July 2022-Present] Grader/Teaching Assistant for courses Data Structures and Algorithms and Operating System Design Internship Trainee - Rashtriya Chemical and Fertilisers, Mumbai, [Dec 2019-Jan 2020] Involved with various controllers and algorithms for the efficient working of conveyor belts needed for the packing of the chemical