KAUMUDI DEGEKAR GULBARGA

Software Engineer | Data Scientist | Machine Learning Specialist

Tempe, US.

About

Highly analytical Software Engineer with a Master's focus in Machine Learning, adept at translating complex data into actionable insights and building scalable data solutions. Proven ability to engineer robust analytics pipelines, develop full-stack applications, and apply advanced ML models to drive product improvements and strategic decisions. Seeking to leverage expertise in data analytics, software development, and machine learning to deliver high-impact solutions in a dynamic technology environment.

Work

International Sibling Society

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Data Analytics & Research Intern

Philadelphia, PA, US

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Summary

Led data analysis and visualization initiatives to uncover global trends and inform policy decisions for International Sibling Society.

Highlights

Conducted comprehensive analysis of UN SDG indicator datasets using Python/SQL, identifying critical cross-country trends and gaps to inform strategic initiatives.

Designed and implemented interactive Tableau dashboards, translating complex SDG data into clear, policy-relevant insights for stakeholders.

Managed the data review pipeline, ensuring 100% dashboard accuracy, metadata compliance, and data integrity across all reporting.

Arizona State University

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Graduate Teaching Assistant

Tempe, AZ, US

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Summary

Provided academic support and mentorship to students in Software Engineering courses at Arizona State University.

Highlights

Conducted regular office hours, graded assignments, and provided individualized feedback to students in SER 502.

Offered personalized support and guidance, significantly contributing to student comprehension and academic success.

7 Seas Entertainment

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Software Engineer – Data Analytics

Hyderabad, Telangana, India

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Summary

Engineered robust data analytics pipelines and dashboards to drive product improvements and enhance user conversion by 12% for 7 Seas Entertainment.

Highlights

Engineered and optimized reusable SQL pipelines to aggregate critical gameplay, onboarding, and purchase event data, forming the foundation for comprehensive analytics.

Performed in-depth analysis of conversion funnels and user behavior, generating actionable insights that directly led to product changes and a 12% improvement in user conversion.

Developed and maintained a suite of Tableau dashboards for advanced funnel, retention, and monetization analysis, enabling data-driven strategic decisions.

Designed and implemented analytics instrumentation, ensuring reliable revenue reporting and precise behavioral tracking across platform features.

Micron Technology

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Software Engineer – Full Stack

Hyderabad, Telangana, India

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Summary

Developed full-stack solutions, including RESTful APIs and data visualization dashboards, to enhance fabrication and quality analytics for engineering teams at Micron Technology.

Highlights

Developed and deployed robust RESTful APIs and scalable data integration pipelines using Angular/JavaScript, supporting critical fabrication and quality analytics.

Designed and implemented interactive Tableau dashboards that effectively surfaced key production trends, anomalies, and quality metrics, empowering engineering teams with actionable insights.

Apple Maps

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Apprenticeship Fellow

Hyderabad, Telangana, India

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Summary

Designed and implemented database schemas and logic for Apple Maps, contributing to core data infrastructure.

Highlights

Designed robust database schemas, validation rules, and retrieval routines for Apple Maps, ensuring data integrity and efficiency.

Implemented SQL/JPA logic under expert mentorship, enhancing data persistence and access layers for critical mapping functionalities.

Education

Arizona State University

Tempe, AZ, United States of America
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MS Software Engineering (Thesis, ML focus) Grade: 4/4 GPA

G. Narayanamma Institute of Technology & Science

Hyderabad, Telangana, India
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B. Tech Computer Science & Engineering Grade: 3.3/4 GPA

Publications

Classifying Cell-Cycle Phase from scHi-C Data with Statistical Features and INRs

International Conference on Information Systems (IADIS IS)

Developed a novel approach for cell-cycle classification from scHi-C data.

Skills

Programming Languages

Python, SQL, Java, C, Bash, SPARQL, RDF, OWL, SWRL, JavaScript, Angular.

Machine Learning & Data Science

Classification, Regression, Clustering, Feature Engineering, Model Evaluation, Pandas, NumPy, scikit-learn, statsmodels, PyTorch, Matplotlib, Seaborn, SHAP, NLP.

Tools & Platforms

Tableau, MySQL, GraphDB, Jupyter, Linux, Slurm (HPC), Docker, AWS, Git.

Projects

Siamese Network for Facial Recognition

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Summary

Implemented a Siamese network for robust facial recognition and verification.

Scalable Implicit Full Waveform Inversion for Velocity Reconstruction

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Summary

Modeled velocity maps as continuous functions for high-resolution reconstruction.

Smart Habitat Ranking for Urban Relocation

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Summary

Developed a locality recommendation system for urban relocation using knowledge-graph modeling.