Graduate student in Computer and Applied Information Systems at Cornell Tech in New York City
View ResumeCurrently pursuing my Dual Master’s degree in Computer and Information Systems with Connective Media at Cornell University in New York City. This program is equipping me with a robust set of skills and a strategic perspective on technology, business and entrepreneurship. Having two years of fin-tech experience, I have published research papers in areas such as deep learning, fin-tech, machine learning, and wireless communication. Passionate about leveraging technology for problem-solving and seeking challenging opportunities to apply skills and contribute to innovative projects
Contact MeData Engineering, Data Analytics, Data Science, Machine Learning, Data Modeling, Database Management, Big Data, Computer Networks, Business Intelligence, Statistics
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C
C++
Python
Java
MATLAB
MySQL
PostgreSQL
MongoDB
Oracle DB
PowerBI
Tableau
HTML
JavaScript
Cascading Style Sheets
ReactJS
Apache Spark
Apache Hadoop
Java Spring Boot
Cisco packet tracer
Arena
MATLAB
Zeland IE3D
CST Studio Suite
Spring Tool Suite
IntelliJ Idea
VS Code
Jupyter
• Coursework: Fall 2024
Applied Machine Learning, Optimization Methods, Algorithms for Applications, HCI and design, Business Fundamentals
• Relevant Coursework: Database Management Systems, Big Data Analytics, Internet Engineering and Network Security, Computer Networks, Data Compression and Encryption, Data Structures and Algorithms, Operating Systems, Mobile Communications
• Supported the user acceptance testing process within the pre-production team by executing comprehensive regression tests and efficiently identifying and fixing bugs, ensuring the stability and reliability of the Core Banking Solutions (CBS) system
• Designing and developing back-end components leading to a 15% reduction in testing of transaction processing time.
• Spearheaded client projects of ‘Make Money Trading’ and ‘Ad-lab’ establishing their websites and Prepared reports and interactive dashboards for stating patterns and predictions
• Collaborated with cross-functional teams to ensure seamless integration of design and analytics, improving project turnaround time by 25% and boosting overall productivity.
• Interviewed 30+ geographically dispersed users, and recommended new product initiatives by performing testing, expected to drive increase in user satisfaction by 40%
• Led technology management team to develop user authentication system, resulting 70% reduction in fake registration of users
International Conference on Advances in Computer Engineering, Communication Systems and Business Development (ICACECSBD-2023), Article number 18, ISBN: 978-93-92105-64-7
• Built and compared the transformer model using Python for stock price prediction with two other models namely ARIMA and LSTM
• Evaluated the three models through various parameters after training and testing, the validated score of Mean Square Error of 0.0004091 (least for transformer model) was obtained for the given Amazon Stocks Time series dataset
Institution of Electronics and Telecommunication Engineers (IETE-SF 2023) Spark Journal, Article number 20, ISBN: 978-93-5777-300-3
• Developed CNN-based DenseNet-121 and ResNet-50 models for detecting glaucoma from extracted images
• Achieved an average F-measure of 85% and accuracy of 74% by DenseNet-121 model, whereas the ResNet
50 model and achieved an average F- measure of 83% and accuracy of 72% in distinguishing glaucoma
positive from healthy eye
Institution of Electronics and Telecommunication Engineers (IETE-SF 2022) IGNITE Newsletter, Article number XV
• Created a detailed data analytical report of Indian IPO which proved Indian Stock market as one of the best performing markets in Asia for the financial year 2021 using Python
Progress in Electromagnetics Research B (PIER B) Journal 2023, Vol. 100, page 155-172, ISSN: 1937-6472
• Patch employed three rectangular slots cut Bow-tie shape ground plane, yield optimum results. Applied the rectangular patch, bandwidth increased by 20% and resonance frequency, substrate thickness, and patch area reduction by 32%, 0.034λg, and 61.12%, are respectively achieved
• Proposed antennas exhibit radiation pattern in the broadside with a gain of more than 5 dBi
Elsevier's AEU - International Journal of Electronics and Communications, Volume 176, Article 155130, March 2024, ISSN: 1618-0399
• Ground plane slots reduces patch fundamental mode frequency and Bow-tie shape of the same yields wider bandwidth on thinner substrate, thus achieving wider bandwidth with a smaller antenna volume
• Modified ground plane antenna yields 25% bandwidth increment, 0.03 λg reduction in substrate thickness, 35.12% reduction in the resonance frequency, 66% reduction in the patch area with a broadside peak gain of 5.5
Institution of Electronics and Telecommunication Engineers (IETE-SF 2022) IGNITE Newsletter, Article number XV
• Combined a GSM and GPS interface with an Arduino Uno board as a platform, can make vehicle tracking more efficient and convenient as it can work in any weather and offer real-time position along with the co-ordinates
• The geographic location of the coordinates are automatically displayed on register phone number by just one manual push on button
• Providing quality education to underprivileged children and raising funds by conducting Mic of Joy (Open mic program) to benefit the finance required to facilitate students
• Conducted educational workshops about menstruation, puberty, mental health and donation drives at Municipal schools in Mumbai
• Spearheading meetings, brainstorming-planning events in the fields of literature, popular-culture, and professional development
• Ideating for engaging social media posts and formulating strategies to expand reach, with the team members
• Used Simscape and other MATLAB tools to control the bot and visualize the moments and actions as expected
• The team got selected among the Top 5 teams for the MathWorks modelling challenge (DD Robocon 2021) in India