Computer Science graduate student pursuing a Master's degree from Rochester Institute of Technology, specializing in Data Management and Analytics. Experienced in Software Engineering, Data Analytics, and Visualization with a demonstrated history of working in the healthcare industry. A data science enthusiast who is highly skilled in programming, mathematics, engineering and debugging to solve various business problems by using data mining, data warehousing, machine learning and other types of data analytics and visualization tools. Specialties: Software Development, Data Science, Data Management, Full Stack Development(Server and Serverless Applications), Back-End Development. Technical Skills: Python, Java, R, Tableau, SQL, MongoDB, React, Redux, Amazon Web Services (Lambda, S3, API Gateway), Node.js, RESTful APIs
Worked on the development of an application for scheduling and flotation of nurses working in Ambulatory care clinics. Created reusable components using React and Redux in a serverless web application to enhance the user experience. Responsible for adding new features to an existing application that is being used in the hospitals located in Rochester region. Created data reports and visualizations for the hospital representatives to provide them insights to make better decisions. Technologies: React, Redux, AWS DynamoDB, AWS Lambda, NodeJS, R, Python, Tableau
Developed a location-based information system and acquired practical training in the Computer Division. This information system consisted of an Android application to dynamically report any traffic information and a Central Web Server to share it with other registered users. Technologies: Java, HTML, CSS, PHP, JavaScript, Android Studio, SQL
Coursework: Advanced Object-Oriented Programming Concepts, Computational Problem Solving, Foundations of Algorithms, Computer Networks, Computer Science Theory, Big Data Analytics, Intelligent Systems, Database System Implementation, Visual Analytics.
Relevant Coursework: Structured Programming Approach, Data Structures & Algorithm Analysis, Database Management Systems, Object-Oriented Programming Methodology, Automata Theory, Computer Networks, Computer Organization & Architecture, Information Theory & Coding, Web Programming, Advanced Database Management Systems, Computer Graphics & Virtual Reality, Open Source Technologies, Operating Systems, Advanced Internet Technology, Data Mining & Business Intelligence, Distributed Systems, Software Engineering, System & Web Security, Cloud Computing, E-Commerce & E-Business, Intelligent Systems, Software Project Management, Wireless Technology, Big Data Analytics, Computer Simulation and Modelling, Software Testing & Quality Assuarance, Storage Network Management & Retrieval
The soccer database originally in SQLite format was migrated to R/Rattle to perform data cleaning, transformation, and visualization. This database was then migrated to Server SQL to perform predictive analysis which resulted in fascinating outcomes. The insights obtained from the predictive analysis were used in selecting teams for the Fantasy Premier leagues of selected countries.
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Successfully implemented the IEEE paper publication “ARP Spoof Detection Algorithm Using ICMP Protocol”. Found shortcomings in the author’s implementation of this paper and corrected them Language, packages and tools used: VMware, Scapy, Python, Wireshark, dsniff
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Developed a Web server capable of processing Client Request. Implemented a bit alternating stop and wait Reliable Data Transfer Protocol(rdt3.0). This protocol handles packet loss with the help of a countdown timer. Language Used - Python.
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Created an application which dynamically updated information on a website based on specific inputs from the users. Languages Used: Java, HTML, CSS, JavaScript
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Internshala Certified Python Training. The game was built using Python3. Tests were conducted to verify the proper running of the game.
View ProjectLicense J4YWCGEWVG85
View CertificateLicense CAJ9V4TET9E9
View CertificateLicense UC-UGL68IYK
View CertificateLicense 129353787955c7a78b69204
View CertificateAniket Giriyalkar, Khushboo Goyal. “Traffic Alert System using VANET”, International Journal of Engineering Trends and Technology (IJETT), Volume 28, Oct 2015.
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