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Keerthana Poojary

Data Analyst | AI/ML Engineer | Python · SQL · TensorFlow · Keras · Power BI | Building ML Models & Dashboards

Mangaluru

< 1 year of work experience

Spinnaker Analytics
Mar 20263 mosMay 2026

Bengaluru

Engineered and deployed supervised ML models (Logistic Regression, Random Forest, Keras Neural Network) for credit risk classification on 100K+ financial records using GridSearchCV with 5-fold cross-validation — optimising precision, recall, and F1 scores for production deployment. Built end-to-end data preprocessing and feature engineering pipelines across 28 financial attributes using Pandas and Seaborn. Designed a K-Means unsupervised clustering solution segmenting geographical zones by solar energy production potential, delivering interactive map visualisations for non-technical stakeholders.

Education

Boston institute of analytics

Diploma of Education, Data Science and Artificial intelligence

Boston institute of analytics

20251 yr2026
Mangalore university

Master's degree, Microbiology, General

Mangalore university

20232 yrs2025

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Headline

Data Analyst | AI/ML Engineer | Python · SQL · TensorFlow · Keras · Power BI | Building ML Models & Dashboards

About

With a foundation in both data analytics and data science, I bridge the gap between raw data and real business impact. I design end-to-end data solutions — crafting optimized SQL pipelines, engineering machine learning models in Python, and translating complex findings into compelling Power BI and Tableau dashboards that resonate with executives, stakeholders, and technical teams alike

Location

Mangaluru

Work experience

Data Science Intern at Spinnaker Analytics, Mar 2026 - May 2026 · 3 mos, Bengaluru, Engineered and deployed supervised ML models (Logistic Regression, Random Forest, Keras Neural Network) for credit risk classification on 100K+ financial records using GridSearchCV with 5-fold cross-validation — optimising precision, recall, and F1 scores for production deployment. Built end-to-end data preprocessing and feature engineering pipelines across 28 financial attributes using Pandas and Seaborn. Designed a K-Means unsupervised clustering solution segmenting geographical zones by solar energy production potential, delivering interactive map visualisations for non-technical stakeholders.

Education

Diploma of Education, Data Science and Artificial intelligence, Boston institute of analytics

Master's degree, Microbiology, General, Mangalore university

Keerthana Poojary - Data Science Intern in Mangaluru | Tal