
Kalyani Khandait
@kalyanikhandait
I build machine learning pipelines and data products that turn complex datasets into actionable insights.
What I'm looking for
I'm building machine learning and analytics solutions across cheminformatics, bioinformatics, and business intelligence. At the University of Delaware, I cleaned and analyzed 650 samples and created PCoA and UMAP visualizations supporting peer-reviewed research.
Previously at UST Global, I built Python and SQL data workflows, automated ETL pipelines, and improved data consistency by 25%. My projects include predicting antioxidant performance across 343 chemical structures, developing a basketball winner prediction model with approximately 80% accuracy, and building a React and Node.js hospital management system.
Experience
Work history, roles, and key accomplishments
Analyzed and cleaned 650 data samples using Python, Pandas, NumPy, and SQL, improving data quality and preparing structured datasets for statistical and machine learning analysis. Built PCoA and UMAP dimensionality-reduction visualizations to translate complex, multivariate results into clear visual summaries for faculty and research collaborators.
Developed Python and SQL-based data processing workflows to clean, transform, and analyze structured datasets, enabling efficient data preparation for analytics and machine learning applications. Built automated ETL pipelines and data validation processes for data extraction, transformation, and quality checks, improving data consistency by 25% and supporting reliable analytics and reporting.
Education
Degrees, certifications, and relevant coursework
University of Delaware
Master of Science, Data Science
2024 -
Grade: 3.9/4.0
Pursuing a Master of Science in Data Science with a GPA of 3.9/4.0, focusing on regression analysis, time series, multivariate analysis, and deep learning.
Savitribai Phule Pune University
Bachelor of Engineering, Computer Engineering
2019 - 2023
Grade: 9.14/10.0
Earned a Bachelor of Engineering in Computer Engineering with a GPA of 9.14/10.0, covering data structures, object-oriented programming, cloud computing, and software engineering.
Availability
Location
Authorized to work in
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