Swayam Swaroop Mishra

Detail-oriented Software Engineer specializing in the design, testing, and development of innovative software solutions. Demonstrates expertise in web technologies and a strong track record of delivering impactful business outcomes. Thrives in fast-paced environments and adept at managing multiple priorities to meet tight deadlines.

• Spartan Security: Developed a 61.3% more accurate time series forecasting model for predicting crimes in Baltimore City.
• New York City Taxi Fare Prediction: Evaluated machine learning algorithms for pricing automation solutions.
• Stock Market Recommender System: Designed an optimized portfolio with a 72% precision rate using association rules.
• Receipt OCR: Developed an optical character recognition model for extracting data from receipt images.

• Data Analysis in Python, IBM Cognitive Class, 09/01/21
• Databases and SQL for Data Science (With Honors), IBM Cognitive Class, 09/01/21

S. Tyagi, R. Kumari, S. C. Makkena, S. S. Mishra, V. S. Pendyala, Enhanced Predictive Modeling of Cricket Game Duration Using Multiple Machine Learning Algorithms, 2020 ICDSE, Kochi, India, 2020, 10.1109/ICDSE50459.2020.9310081

https://ieeexplore.ieee.org/document/9310081

• Awarded organization-wide recognition for proposing a hackathon-winning idea to develop a predictive tool for CPU and memory usage in AWS Lambda during user code execution.
• Recognized with the Q4 Star Award for designing and implementing infrastructure to handle large files efficiently in Scitara DLX.