Machine Learning Data Science Software Engineer

Shreya Agarwal

Binghamton, NY 607-***-**** *********@**********.*** https://www.linkedin.com/in/shreya-agarwal25/ https://github.com/shreya-25

SUMMARY

• 4+ years of experience in software engineering, data science, performance improvement, and simulation

• Multidisciplinary background in computer science and industrial engineering, including knowledge of data science and machine learning

• Interested in artificial intelligence-based performance improvement EDUCATION

Binghamton University, State University of New York, Thomas J. Watson College of Engineering and Applied Science Master of Science in Industrial and Systems Engineering (ISE) May. 2025 Cumulative GPA: 3.9/4.0

Relevant Coursework: Applied Probability and Statistics, Operations Research, Neural Networks, Applied Multivariate Data Analysis, Advanced Topics in Health Systems, Modeling and Simulation, Fundamentals of Health Systems, Enterprise Systems Engineering Lovely Professional University, Punjab, India

Bachelor of Technology in Computer Science May 2021 Cumulative GPA: 3.3/4.0

Relevant Coursework: Data Structures and Algorithms, Design and Analysis of Algorithms, Computer Programming, Object Oriented Programming, Machine Learning, Web Development, Cloud Computing, Deep Learning, Database Management, Big Data TECHNICAL SKILLS

Languages: Python, Java, JavaScript, HTML, CSS, React JS, SQL, MongoDB, Express Libraries/Frameworks: Pandas, Scikit-learn, NumPy, Keras, TensorFlow, PyTorch, Matplotlib, Bootstrap, Servlets, Agile Tools: Tableau, GitHub, Jira, AWS, Azure, Demo 3D, Flexsim Machine Learning: Regression, Classification, Clustering, Deep Learning, Generative AI, Natural Language Processing (NLP) Data Analytics: Statistical Validation, Data Visualization, Dimensionality Reduction, Data Augmentation PROFESSIONAL EXPERIENCE

Endicott Police Department, Full Stack Developer Binghamton, NY Sep. 2024 – Present

● Developing a MERN-based Police Investigation Management System (PIMS) that automates case management, visualizes lead hierarchies, and generates comprehensive reports

● Developing an interactive dashboard consolidating real-time analytics and key performance metrics, enabling rapid case monitoring and data-driven decision-making

● Designed user-centric system prototype using Figma, resulting in improved interface usability

● Implemented robust security protocols to ensure data integrity and enhance system resilience against potential threats

● Mentored an undergraduate senior design team, contributing to UI/UX enhancements and coordinating comprehensive software testing using agile methods demonstrating my ability to work independently and communicate effectively Office of the President, Binghamton University Data Engineer Binghamton, NY Mar. 2024 – Aug. 2024

● Analyzed seven years of historical data comprising over 116,000 records and 59 features to enhance classroom assignment strategies, maximize utilization rates, and improve enrollment efficiencies across various courses

● Developed an optimized algorithm for classroom scheduling, leveraging historical trends and predictive modeling to improve space allocation

● Utilized Python and Excel to perform in-depth analysis of classroom utilization trends and enrollment patterns spanning multiple semesters

iA Pharmacy Automation Company, Simulation Engineer Binghamton, NY Sep. 2023 – Feb 2024

● Developed simulation models to optimize Central Fill Pharmacy (CFP) operations, streamlining the process for multiple high-capacity systems filling up to 25,000 prescriptions per shift with a creative approach

● Conducted rigorous analysis of systems using strategic analytics to identify performance enhancements and bottlenecks, utilizing various key performance indicators such as throughput, utilization, cycle time, fill time window, collation delay etc

● Visualized performance using advanced BI tools like Tableau, articulating complex data insights clearly to stakeholders Paytm, QA Engineer Noida, India Jun. 2022 – Jul. 2023

● Performed manual and automated testing of REST APIs for mobile payment services used by over 7M+ people across India

● Utilized tools like Jenkins, Argo CD for automation and regression testing, streamline continuous integration and deployment, and ensure efficient and reliable software delivery

● Leveraged Postman and BloomRPC to effectively test and interact with REST APIs

● Utilized DBeaver and DynamoDB for efficient database testing and management

● Participated in Agile development cycles, including daily stand-ups, sprint planning, design and execute test plans, cases and scripts to validate the functionality of the payment services

● Proactively implemented automation framework that sped up testing and reduced manual effort by 98% Broadridge Financial Solution, Technical Intern Hyderabad, India Oct. 2021 – Apr. 2022

● Conducted user acceptance testing, integration testing, and troubleshooting for Broadridge’s flagship products

● Resolved level 1 support issues and actively monitored the status of the products

● Collaborated with cross-functional teams to ensure the delivery of high-quality products, identifying and resolving defects, and enhancing overall user experience

RESEARCH EXPERIENCE

Generative AI Based Liver Tumor Synthesis Generative Adversarial Network (GAN) Nov. 2024 – Present

● Utilized GAN to create realistic synthetic liver tumors with an SSIM 0.8 utilizing a aggregated output of combination of two different types of GAN, DCGAN and WGAN

● Developed neural network-driven clustering models, using Self-Organizing Maps for clustering and K-Means for visualization to enable data-driven interventions

Predicting School Absenteeism in Autistic Students Self-Organizing Maps (SOM) Sep. 2024 – Jan 2025

● Analyzed absenteeism in autistic students, performing statistical analysis, feature engineering, and data augmentation to identify key behavioral and routine-based predictors and predict school absenteeism

● Developed neural network-driven clustering models, using Self-Organizing Maps for clustering and K-Means for visualization to enable data-driven interventions

Military Survivors Grief Journey Prediction NLP, LLM Sep. 2024 – Nov 2024

● Developed and fine-tuned a SetFit Transformer model, evaluated with Random Forest, achieving 91% accuracy in grief journey stage prediction for military survivors

● Preprocessed multilingual text with translation, lemmatization, stop word removal, and spelling correction for improved model performance

Predicting Post Stroke Activities of Daily Living ML, PCA, Statistical Modeling May. 2024 – July 2024

● Developed ML models for stroke rehabilitation prediction, achieving 99% accuracy

● Applied statistical modeling and dimensionality reduction to identify key predictors for improving rehabilitation outcomes Liver Tumor Segmentation Case Study Competition Montreal, Canada Feb. 2024 – Mar 2024

● Devised an innovative method for precise liver tumor segmentation from CT scans, merging a modified U-Net architecture with Sobel edge detection preprocessing for enhanced accuracy

● Implemented and optimized the model, focusing on top n slices selected based on a predetermined threshold value, significantly enhancing segmentation accuracy

● Evaluated the model’s performance with quantitative metrics accuracy and loss achieving a accuracy of 97.8%, demonstrating a substantial improvement over traditional segmentation technique MENTORSHIP/ LEADERSHIP

● Mentored an undergraduate team in a capstone project focused on software design and testing Nov. 2024 – Present

● Served as a Java TA, supporting students to build core programming and debugging skills Jun. 2024 – July 2024

● Guest lectured at Waseda University, teaching data visualization techniques with Tableau to help create clear and actionable charts Jun. 2024

CERTIFICATIONS

● Lean Six Sigma Green Belt, Binghamton University May. 2024

● Microsoft Azure Fundamentals, Microsoft Oct. 2024

● Healthcare Data Mining and Analytics, Binghamton University Jun. 2024

● Artificial intelligence with machine learning and deep learning, IIT Kanpur Jul. 2019 AWARDS AND HONORS

● Finalist in the Institute of Industrial and Systems Engineering Data Analytics and Information Systems Division Data Analytics (IISE DAIS) Competition May.2024

● Recognized at Paytm for streamlining the integration testing process and reducing manual effort Dec. 2022

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