Saniya Parveez
Data Scientist
Bengaluru, Karnataka, United States
Summary
🤩
Rockstar🎓
Top SchoolSaniya Parveez is a Data Scientist with 7 years of experience based in Bengaluru who blends production-grade data engineering with applied machine learning to drive measurable business impact. At Red Hat she built and optimized ETL infrastructure on AWS (S3, Redshift) using SQL, Airflow and dbt, and led Python automation that cut errors and increased pipeline efficiency by 30%. She runs end-to-end project lifecycles — feature engineering, modeling, and visualization — and implemented email triggers that lifted customer retention by 45%. An active contributor to Towards AI, she publishes practical tutorials (PCA, decision trees, Colab workflows) and has multiple academic publications on ML and optimization, demonstrating a rare combination of teaching, research, and production experience. She excels at turning complex datasets into maintainable, tested pipelines that are optimized for resource utilization and business value.
7 years of coding experience
3 years of employment as a software developer
B.E - Bachelor of Engineering, Computer Science, B.E - Bachelor of Engineering, Computer Science at Visvesvaraya Technological University
English
Github Skills (17)
python10
data-science10
matplotlib10
scikit10
pandas10
machine-learning10
pca10
scikit-learn10
decision-tree10
linear-algebra10
data-analysis10
user-manual9
google-colab9
deep-learning8
neural-networks6
Programming languages (2)
Github contributions (5)
towardsai/tutorials
Oct 2020 - Nov 2020
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Role in this project:
Data Scientist
Data ScientistContributions:8 commits, 1 PR, 7 pushes in 25 days
Contributions summary:Saniya contributed significantly to the repository by implementing and demonstrating various data science and machine learning techniques. The commits include code related to linear algebra, principal component analysis (PCA), correlation and covariance matrices, and decision tree classification. Additionally, the user provided tutorials and examples using Python, Pandas, Scikit-learn, and Matplotlib, demonstrating practical applications in the context of machine learning and data analysis. The user also provided tutorials for using Google Colab with relevant packages.
pythonmathematicssentiment-analysiseditorialapl
saniyaparveez/saniyaparveez.github.io
Sep 2020 - Oct 2020
Contributions:24 pushes, 1 branch in 19 days
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