11 Dec 2022
Proficient in data science and machine learning for analysis, model development, and deployment to drive insights and decisions.
Jupyter Notebooks:
Facilitated interactive data exploration by combining code, visualizations, and narrative text in a single environment.
Streamlined workflows with inline visualizations, enabling iterative analysis and model development.
Documented findings comprehensively, ensuring reproducibility and clarity for collaborative projects.
Big Data Computing:
Proficient in using distributed computing frameworks like Hadoop and Spark for efficient data processing.
Designed pipelines for data ingestion, transformation, and storage to manage large-scale datasets.
Conducted analysis and visualization of massive datasets to derive actionable business insights.
Predictive Modeling:
Developed robust machine learning models for regression, classification, and clustering tasks.
Improved model accuracy through feature engineering, hyperparameter tuning, and cross-validation.
Deployed predictive models to support strategic decision-making in real-world scenarios.