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Sanjana Anantapur

Data Science Engineer | ML | Python |SQL | Product Analytics & Applied AI | Building data-driven solutions

Karnataka

1+ year of work experience

DataMites™
Jan 20267 mosPresent

Built end-to-end ML pipelines for classification and regression problems using Python and Scikit-learn. Performed data cleaning, EDA, feature engineering, and model evaluation on structured datasets. Applied class imbalance techniques and improved minority-class recall by 25%. Compared multiple algorithms using Accuracy, Precision, Recall, F1-score, ROC-AUC, RMSE, and MAE to select the best model for each use case.
DataMites™
Aug 20251 yrPresent

Bengaluru

During my Data Science training at DataMites, I gained hands-on experience in handling and preparing data through techniques such as data cleaning, preprocessing, and transformation using Python libraries like Pandas and NumPy. I learned how to perform exploratory data analysis (EDA) by generating statistical summaries and creating visualizations with Matplotlib and Seaborn to identify patterns and trends in datasets. The training helped me understand key machine learning concepts, including supervised and unsupervised learning, and I built different models such as regression, classification, decision trees, random forests, and clustering algorithms. I also developed strong skills in SQL for extracting and analyzing data through queries involving filtering, joining, and aggregation. Additionally, I improved my data visualization and reporting abilities by creating meaningful charts and dashboards to communicate insights clearly. Overall, the training enhanced my problem-solving skills, strengthened my understanding of real-world data applications, and improved my confidence in using analytical tools to solve business problems.

Education

Basaveshwar Engineering College (A), Bagalkote

Bachelor of Engineering - BE, Computer Science

Basaveshwar Engineering College (A), Bagalkote

20214 yrs2025

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Headline

Data Science Engineer | ML | Python |SQL | Product Analytics & Applied AI | Building data-driven solutions

About

Data Science Engineer with hands-on experience in machine learning, data preprocessing, feature engineering, and model evaluation. Built end-to-end ML pipelines for classification and regression, with measurable improvements such as 25% better minority-class recall and strong model performance across business use cases. Comfortable with Python, SQL, Pandas, NumPy, Scikit-learn, Power BI, and Tableau, with a focus on solving real-world product and business problems through data.

Location

Karnataka

Work experience

Data Science Intern at DataMites™, Jan 2026 - Present · 7 mos, Built end-to-end ML pipelines for classification and regression problems using Python and Scikit-learn. Performed data cleaning, EDA, feature engineering, and model evaluation on structured datasets. Applied class imbalance techniques and improved minority-class recall by 25%. Compared multiple algorithms using Accuracy, Precision, Recall, F1-score, ROC-AUC, RMSE, and MAE to select the best model for each use case.

Data Science Trainee at DataMites™, Aug 2025 - Present · 1 yr, Bengaluru, During my Data Science training at DataMites, I gained hands-on experience in handling and preparing data through techniques such as data cleaning, preprocessing, and transformation using Python libraries like Pandas and NumPy. I learned how to perform exploratory data analysis (EDA) by generating statistical summaries and creating visualizations with Matplotlib and Seaborn to identify patterns and trends in datasets. The training helped me understand key machine learning concepts, including supervised and unsupervised learning, and I built different models such as regression, classification, decision trees, random forests, and clustering algorithms. I also developed strong skills in SQL for extracting and analyzing data through queries involving filtering, joining, and aggregation. Additionally, I improved my data visualization and reporting abilities by creating meaningful charts and dashboards to communicate insights clearly. Overall, the training enhanced my problem-solving skills, strengthened my understanding of real-world data applications, and improved my confidence in using analytical tools to solve business problems.

Education

Bachelor of Engineering - BE, Computer Science, Basaveshwar Engineering College (A), Bagalkote

Sanjana Anantapur - Data Science Intern in Karnataka | Tal