Data enthusiast with over two years of experience in Data Science, specializing in Python, SQL, and advanced analytics. Proficient in developing machine learning models, applying statistical techniques, and optimizing da…
Data enthusiast with over two years of experience in Data Science, specializing in Python, SQL, and advanced analytics. Proficient in developing machine learning models, applying statistical techniques, and optimizing data strategies to
drive business impact. Skilled in collaborating with cross-functional teams and translating complex insights into actionable decisions.
Collaborated across teams to align project objectives with business goals,defining scopes and success criteria. Optimized data processing pipelines by 80-90% through Python script automation, enhancing efficiency. Utilized advanced tools for querying, visualization, and analytics to effectively analyze complex datasets. Developed a scalable dashboard API for integrating and visualizing datasets, aiding in key metric tracking. Extracted actionable insights from raw data, producing performance reports that supported strategic decisions. Implemented Web Scraping techniques to streamline public data retrieval for the organization.
Collaborated across teams to align project objectives with business goals, defining scopes and success criteria.
Optimized data processing pipelines by 80-90% through Python script automation, enhancing efficiency.
Utilized advanced tools for querying, visualization, and analytics to effectively analyze complex datasets.
Developed a scalable dashboard API for integrating and visualizing datasets, aiding in key metric tracking.
Extracted actionable insights from raw data, producing performance reports that supported strategic decisions.
Implemented Web Scraping techniques to streamline public data retrieval for the organization.
Developed a Decision Tree model to predict wine quality using physicochemical attributes, achieving 85% accuracy on test data.
Performed data preprocessing, feature selection, and EDA to enhance model performance and interpretability.
Applied hyperparameter tuning and cross-validation to optimize and validate the model effectively.
Designed and optimized data pipelines and APIs using Python, SQL, and FastAPI, improving dashboard response time by 40%.Developed interactive Power BI visualizations to deliver actionable insights, enhancing client decision-making efficiency.
•Built a real-time ad targeting system using Python, NLP, and web scraping, increasing ad engagement by 35%.•Integrated live sports event data APIs for automated ad placements, reducing manual effort and optimizing ad delivery.
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