Computer Science Information Systems

PUSHPAK KAMISETTI

****************@*****.*** +1-551-***-**** LinkedIn URL GitHub URL

EDUCATION

Pace University, Seidenberg School of Computer Science and Information Systems New York, NY Master Of Science In Computer Science May 2024

Cardiff University Cardiff, UK

Bachelor Of Science In Computer Science June 2021

Academic Assignments and Academic Projects

ONECARE

• Collaborated with a team to design and develop a health app integrated with AI and Firebase, ensuring smooth backend connectivity for real-time data storage and retrieval.

• Implemented backend functionalities, including Firebase integration for user data management (appointments, registration, and login).

• Resolved initial setup issues, ensuring timely completion of the first milestone.

• Developed secure login/registration pages and integrated email notifications for appointment confirmations.

• Connected React with Python AI models via API to predict diseases based on symptoms.

• Designed the appointment system to prevent double-bookings and ensure doctor availability.

• Tested, debugged, and delivered a fully functional health app. PREDICTING NEXT PART OF MIDI FILE

• Collected and preprocessed MIDI files into note and pitch sequences, creating input-output pairs for LSTM training.

• Trained an LSTM model to predict the next musical note or sequence, capturing temporal patterns in music.

• Predicted and converted the output into MIDI format to generate playable music. WORK EXPERIENCE

PERPETUUITI TECHNOSOFT SERVICES PRIVATE LIMITED Chennai, Tamil Nadu APPLICATION DEVELOPER February 2018 – February 2018

• Collaborated with a team of 10 developers to create and deliver a C#-based application integrated with Emotive devices, resulting in a 20% improvement in device performance and user engagement.

• Trained the device with over 100,000 data points, ensuring model accuracy and reducing error rates by 15% for more reliable and consistent device behavior.

• Designed and implemented an SQL database that facilitated the efficient storage and retrieval of data, processing 1,000+ transactions per day while reducing data query time by 30%.

• Conducted data analysis to identify trends and insights, optimizing device performance and user engagement strategies.

• Developed and analyzed data trends through dashboards, delivering actionable insights to support data-driven decision-making.

• Analyzed user feedback and data to continuously improve device functionality and customer satisfaction.

• Ensured the application met 100% of the functional requirements, delivering a user-friendly interface that improved customer satisfaction by 25% based on user feedback.

• Implemented the Waterfall methodology to manage project timelines, contributing to the successful on-time delivery of the project with a 10% improvement in overall efficiency. SKILLS

Programming Languages: Python, Java, C++, C#, PHP, HTML, CSS. Databases: SQL, MySQL, PostgreSQL, Oracle, MongoDB, SQLite. Frameworks & Tools: React, Scikit-Learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, Matplotlib. Development Environments: Eclipse, NetBeans, Visual Studio, PyCharm, Android Studio, MATLAB. Systems & Technologies: Docker, VirtualBox, Kali Linux, Wireshark, Cisco Packet Tracer, Windows Server, Unix, Linux. Methodologies: Agile, Waterfall, Machine Learning Algorithms. Cloud & Version Control: Git, Jira.

Certifications: Data analysis with python, Data visualization with python, Machine Learning - Dimensionality Reduction, Python 101 for data science, Machine learning with python, Certified Ethical hacker (CEH).

Contact this candidate