San Jose, CA *****

+1-512-***-****

adjkmr@r.postjobfree.com

Swayam Swaroop Mishra

SOFTWARE ENGINEERING INTERN

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GitHub

EDUCATION

San Jose State University, San Jose, CA August 2018 – August 2020 Master of Science, Computer Engineering GPA: 3.4/4.0

• Data Science: Machine Learning, Data Mining, Large Scale Analytics, Database Design, Deep Learning

• Core Courses: Data Structure and Algorithms Using, Computer Architecture, System Software, Operating Systems SOA University, India August 2013 – May 2017

Bachelor of Technology, Electronics and Communication Engineering CGPA: 7.57/10 TECHNICAL SKILLS

• Programming Languages: Python, Shell Scripting, C++, Matlab, Go

• Databases: MySQL, MongoDB

• Operating System: OS X, Enterprise Linux, Ubuntu, Windows

• Other technical skills: Android Application development, Verilog, Genism, PySpark, Numpy, TensorFlow, Git, OpenCV, Scikit, Tkinter, PyTesseract, SQLAlchemy, PyMongo PROFESSIONAL EXPERIENCE

Software Engineering Intern - Intel Corporation June 2020 – Present

• Cell Design Tracker: Developed Splunk dashboard to monitor the impact of environment changes on cell design. o Used Shell scripting for automation and data collection. o Used Python3 and Pandas for data preprocessing.

o Used XML, HTML, CSS and JavaScript to build the Dashboard. Skills: Python Pandas Splunk Data Analysis Data Visualization Shell XML HTML CSS JavaScript

• Access Control Website: Developed web-based website for accepting and requesting library access. The application saved 23 hours per year of physical design engineers. o For Single Sign On created REST API using Python3 Request library. o Used Bootstrap for Frontend and Flask web-framework for Backend development. Skills: Python Flask Postman Bootstrap Rest API Single Sign On MySQL Software Engineering Intern - Intel Corporation June 2019 – August 2019

• Cell Verification Scheduler: Developed a full stack web-based tool for scheduling cell verification. The tool reduced the verification time by 99%.

o Created a multi-processor version of the tool using parallel computation on Intel server. o Used HTML, CSS and JavaScript to build the Frontend and used Django for backend development. o Used shell scripting for automating the verification process. o Used Python3 and Pandas to do data collection and data preprocessing on the log files. o Used MySQL Database to store user input and MongoDB for storing data extracted from logfiles. Skills: Python Django Pandas Shell MySQL MongoDB HTML CSS JavaScript PUBLICATIONS

• S. Tyagi, R. Kumari, S. C. Makkena, S. S. Mishra and V. S. Pendyala, "Enhanced Predictive Modeling of Cricket Game Duration Using Multiple Machine Learning Algorithms,"2020 ICDSE, Kochi, India, 2020, pp. 1-9, doi: 10.1109/ICDSE50459.2020.9310081.

ACADEMIC PROJECTS

• Spartan Security: Designed and developed a time series forecasting model which predicts the next crime about to occur in Baltimore City and notifying the users by the help of a web application. Created a random forest model with a mean squared error of 16.52%. The model outperformed the baseline model by 61.3%.

• Receipt OCR: Designed and developed optical character recognition model which extracts data from a receipt image and store it in computer readable format.

• Wiki article clustering through topic modeling: Cluster wiki articles using LDA topic modeling which will help in identifying duplicates, aggregating the knowledge on identical topics there by improving the overall understanding of the information.

• New York City Taxi Fare Prediction: The intent of our project was to understand and evaluate machine learning algorithms applied to the effective pricing automation solution.

• Stock Market Recommender System: Designed and developed an optimized portfolio with a precision of 72% by applying association rule on the latest 5-year historical prices of all the 800 stocks listed in NSE.

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