email@example.com https://github.com/ishika-prasad linkedin.com/in/ishika-prasad/ +1-908-***-**** OBJECTIVE
Looking for Internship/Co-op opportunities in Software Engineering/Data Science/AI for Fall 2020. EDUCATION
Rochester Institute of Technology Rochester, NY
Master of Science in Computer Science; Degree GPA: 3.7 Aug. 2018 – (Expected) May. 2021
• Coursework (Major: Data Management & Artificial Intelligence): o Foundations of Algorithms, Introduction to Big Data, Foundation of Intelligent Systems, Big Data Analytics, Foundations of Computer Vision, Topics in Intelligent Systems, Data Warehousing, Neural Net & Machine Learning, Data Security and Privacy
Visvesvaraya Technological University Bangalore, India Bachelor of Engineering in Computer Science; First Class with Distinction Sep. 2011 - Jun. 2015 TECHNICAL SKILLS:
• Frameworks & Tools – Jupyter Notebook, MATLAB, MySQL, Pentaho Data Integration(Kettle), Flask, AWS, Spring Boot, Git, Apache Maven, Jenkins
• ML Libraries – TensorFlow, Keras, PyTorch, SciPy, OpenCV, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn PROFESSIONAL EXPERIENCE
Software Engineer Intern Fairport, USA
Tracelink Inc. May 2019 - Aug. 2019
• Enhanced backend of Inventory tracking system using Java, Microservices, REST API, AWS, Jenkins.
• Built modules of Android application to scan barcode on Java, Jenkins
• Technologies used: Microservices, Java, AWS, Jenkins, REST API, Android, Shell Script, Unix, Git, MVP Graduate Research Assistant Rochester, USA
Rochester Institute of Technology Nov. 2018 - Apr. 2019
• Researched on JAAS & Java RMI projects to develop a predictive security algorithm.
• Technologies used: JAAS (Java Authentication and Authorization Service), Java RMI, Gradle, Maven, Java. Senior Software Engineer Bangalore, India
Mindtree (Symantec) Oct. 2015 - Jun. 2018
• Developed production level monitoring and debugging of services through automation in Java and Shell Script.
• Optimized and automated major modules like Scan, Report, Notification using Java, SQL with optimal performance for Complete Website Security (CWS).
• IMDb Query Web App: Designed SQL database for IMDb dataset and performed data cleaning, indexing, ER modeling. Developed a web app that allows to execute query and display the response of query related to the database.
• Data Mining on Online Retail: Implemented Data Mining (Preprocessing, Feature selection, Exploration and Visualization) using classification, clustering, association rule on Online Retail UCI Machine Learning dataset.
• Online Food Ordering System: Created a web app for online food ordering with the implementation of security issues such as authentication, reCAPTCHA, access control, data masking, data anonymization, using AWS, MySQL, and Flask.
• Descriptive Analysis of Suicide Ideation on Twitter: Performed descriptive analysis on active twitter users to analyze status of their mental health and suicidal thoughts using the approach of word cloud, K-means, Agglomerative clustering.
• Emotion Detection in Video Sequence: Created an AI system using RAVDESS dataset to detect six emotions in video sequence using Principal Component Analysis (PCA), K-Nearest Neighbors (KNN), and Hidden Markov Model (HMM).
• Intracranial Hemorrhage Detection and Segmentation: Created two AI models using RSNA and PhysioNet CT images to detect and segment intracranial hemorrhage and its six subtypes using EfficientNet and UNet.