Goal-driven data scientist with a proven track record in designing and implementing machine learning models to solve business challenges. Experienced in data preprocessing techniques to extract meaningful insights from d…
Goal-driven data scientist with a proven track record in designing and implementing machine learning models to solve business challenges. Experienced in data preprocessing techniques to extract meaningful insights from diverse data sources. Skilled in data analysis, mining, and visualization using tools like Power BI. Strong background in statistical validation, project delivery, and team coordination. Demonstrated ability to collaborate with cross-functional teams and industry partners to drive data-driven strategies and achieve organizational goals. Recognized for leadership, problem-solving, and communication skills.
Hi ,
I have 3 year of experience with python, MySQL, seaborn and matplotlib data visualization and with scikit machine learning prediction for supervised classification and regression model as well as unsupervised learning.
Work with leading food and beverage, top leading automotive financial services as well as leading health care Clint for 3 year.
Led collaborative efforts with cross-functional teams to develop data-driven strategies using Scikit-learn, resulting in a 25% improvement in prediction accuracy, 20% boost in model efficiency, and 15% increase in overall accuracy
Analyzed data using Linear Regression and Clustering in SCIKIT Learn, revealing revenue-boosting patterns, cost-saving trends, and operation-enhancing outliers
Enhanced data-driven decision-making through expertise in applying advanced data preprocessing techniques and utilizing unsupervised learning algorithms for cleaning and transforming raw data, ensuring optimal quality in predictions and insights
Validated models using regression analysis and hypothesis testing to drive increased accuracy, enhance reliability, and optimize predictions
Achieved 15% cost reduction, 20% revenue growth, and increased customer satisfaction scores by collaborating effectively with DTFS, MBFS, and Starbucks, utilizing regression analysis in Machine Learning for predictions and Power BI for data visualization
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