Work
Summary
Completed a data analytics and forensic technology simulation project.
Highlights
Developed a Tableau dashboard to visualize key business metrics and trends.
Applied Excel-based data classification techniques to uncover actionable business insights.
Interpreted analytical findings to simulate real-world business decision-making processes.
India
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Summary
As a Junior Data Scientist Intern at Coapps.ai, Saraswathi optimized healthcare data processing and predictive model development, enhancing diagnostic accuracy and streamlining user feedback.
Highlights
Streamlined healthcare data extraction and transformation using Python and SQL, generating clean, structured datasets for efficient model development.
Engineered and deployed predictive models with scikit-learn and TensorFlow (SVM, logistic regression, random forest), boosting diagnostic accuracy by 18%.
Optimized model performance by executing robust feature engineering and data preprocessing pipelines, significantly improving precision, recall, and F1 scores.
Deployed interactive Machine Learning solutions via Streamlit, reducing stakeholder validation time by 40% and enhancing user feedback collection.
India
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Summary
As a Machine Learning Intern at Infrabim Techno Solutions, Saraswathi implemented end-to-end data preprocessing tasks, developed machine learning models, and delivered data-driven insights, improving predictive accuracy and facilitating strategic decision-making.
Highlights
Implemented end-to-end data preprocessing pipelines using Python, Pandas, and NumPy, ensuring high-quality datasets for robust model training.
Developed and optimized machine learning models (SVM, logistic regression, random forest), increasing predictive accuracy by 15% on test datasets.
Conducted rigorous model evaluation and hyperparameter tuning, optimizing performance metrics (precision, recall) and significantly reducing model error rates.
Presented clear, data-driven insights to technical and non-technical stakeholders, facilitating informed strategy development and project alignment.
Skills
Programming language
Python.
Data Manipulation & Analysis
Pandas, NumPy, Feature Engineering, Data Cleaning.
Machine Learning & AI
Scikit-learn, TensorFlow, Model Evaluation.
Databases
SQL, MySQL.
Development Tools
Jupyter Notebook, MS Office.
Version Control
Git, GitHub.
Web Development & Scraping
Beautiful Soup, Web scraping.
Data Visualization & BI Tools
Matplotlib, Power BI.
Deployment
Streamlit, AWS.
About
Highly analytical and results-driven Entry Level Data Analyst with a Bachelor of Technology in Computer Science and Artificial Intelligence. Proficient in Python, SQL, and data visualization tools, I leverage machine learning and data engineering expertise to extract actionable insights. My experience includes enhancing diagnostic accuracy by 18% and streamlining ML solution deployment by 40%, demonstrating a strong ability to optimize business processes and drive performance improvement.
Education
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Bachelor of Technology
Computer Science and Artificial Intelligence
Grade: CGPA: 8.06
Courses
Data Structures and Algorithms
Database Management Systems
Machine Learning Fundamentals
Artificial Intelligence Principles
Software Engineering
Probability and Statistics