Hi. I'm Swastik Patro.

And I'm a master's student at Illinois Institute of Technology, Chicago. Currently majoring in Computer Science. And on a journey of unraveling machine learning mysteries, fueled by enthusiasm and a love for algorithms. 🕵️‍♀️🤖 #MLExplorer.

Learn more about me

Work Experience

Software Developer

Amdocs - Pune, India
December, 2022 - July, 2023

Backend Development: Developed and maintained over 150 backend features in Java for CRM and RIM applications, ensuring efficient data exchange and seamless communication between different teams and applications.
Front-End Development: Worked on 50+ front-end components using proprietary Java and ActionScript frameworks for CRM and RIM applications which improved user experience by 10%.
Automation and Data Formatting: Led the design and development of a front-end component using Excel VBA, which automated data entry processes and enabled dynamic input criteria determination.

Associate Software Developer

Amdocs - Pune, India
July, 2021 - December, 2022

Unit Testing: Created unit tests for services using JUnit and PowerMockito, achieving over 80% test coverage, ensuring robustness and reliability of critical software components.
Defect Resolution: Addressed and resolved over 100 defects, demonstrating strong problem-solving abilities and a commitment to product quality.
Cross-Functional Collaboration: Collaborated with 13 cross-functional teams to gather project requirements, ensuring alignment with client needs and project goals.

Software Developer Intern

Amdocs - Pune, India
June, 2019 - June, 2019

Computer Vision Feature Development: Created a critical feature to measure and verify distances between Datamatrix and OCR elements using Computer Vision in Python, ensuring SOP compliance.
Cross-Platform Integration: Integrated the Python Computer Vision module with C# for seamless cross-platform functionality.

Here’s some stuff I made recently.

Medical Image Classification for Lung Cancer

Python, Django, Matplotplib, Tensorflow, OpenCV

Engineered a solution using Django, TensorFlow, and OpenCV to develop a machine learning system with SVM and ANN models. Achieved a recall of 88.81% for cancer and 86.24% for nodule classification based on the LIDC-IDRI dataset.

Information Retrieval System

Python, Flask, Scikit-Learn, MongoDB, RESTful APIs

Developed a focused search engine integrating TF-IDF with Scikit-Learn, Scrapy for data extraction, and MongoDB for storage. Deployed a Flask RESTful API with an average 200ms response time for data retrieval.

Stock Market Analysis and Prediction

Python, Pandas-Datareader, Facebook-Prophet, Seaborn

Created a stock prediction system with TensorFlow, employing RNN and LSTM models for precise short-term price forecasts through historical data analysis. Used Facebook Prophet for long-term stock price prediction, emphasizing minimum and maximum price changes to assist investors and traders in informed decision-making.

iDr-24/7

Android Studio, Java, Firestore

Developed a comprehensive Android application using Android Studio and Java 8. The app allows users to store and access real-time data on doctor availability and manage patient appointments efficiently. Integrated with Firestore to ensure seamless and secure data storage and retrieval, enhancing the user experience and ensuring data consistency across the platform.

Pantry Tracker Website

Next.js, React, Google Firestore

Built a responsive pantry tracker web application using Next.js, React, and Google Firestore, enabling users to perform seamless CRUD operations for real-time inventory management.