Niveditha Ganapathi

Background

About Niveditha Ganapathi

Certified Data scientist and MLOPS specialization with Azure, AWS, GCP and other open source tools.Have good knowledge on Statistics, Machine Learning, Deep Learning, Database Server - My SQL, MSSQL, Data visualization - Power BI. With 3 years of experience in developing and deploying machine learning models, I am eager to contribute my expertise in data analysis, MLOps, and cloud computing. In my role at Savena Solutions, I worked extensively on regression modeling and univariate time series forecasting, utilizing ARIMA, SARIMA, and Prophet models to drive business insights. Additionally, I implemented hyperparameter tuning techniques to enhance model accuracy and efficiency, achieving a 15-20% improvement in predictive performance. My strong foundation in MLOps has enabled me to build scalable ML pipelines, leveraging CI/CD practices across AWS, Azure, and GCP. I have deployed models using Amazon SageMaker, MLflow, and Kubernetes, ensuring reproducibility and operational efficiency. Furthermore, my experience with DVC, Kubeflow, and feature store solutions like Feast has strengthened my ability to manage end-to-end ML workflows. Beyond technical expertise, I am proficient in data visualization tools such as Tableau and Power BI, which I have used to create impactful business reports that drive strategic decision-making. My ability to translate complex data into actionable insights makes me a strong asset. I am eager to bring my passion for machine learning, visualization, model deployment, and cloud technologies.