Rohit Patel Email and Phone Number

• Assisted in 3+ ongoing research and consulting projects within the Applied Data Science program, focusing on climate change, healthcare analytics, and supply chain optimization.• Developed Python scripts to automate the cleaning and preprocessing of datasets, reducing manual effort by 30% and improving the efficiency of data analysis workflows.• Executed complex database queries on datasets exceeding 1TB, extracting actionable insights for faculty-led research and reducing data retrieval time by 25%.• Applied machine learning techniques, including clustering and regression models, to identify patterns and forecast trends with an accuracy increase of 12% compared to previous models.• Improved the speed and accuracy of data-driven decision-making processes, contributing to a 15% improvement in project timelines.

• Guest Lectured course on Data Mining concepts, including ANOVA, PCA, clustering, and regression models, employing LaTeX for meticulously formatting intricate statistical analysis problems• Helped facilitate faculty research projects and administered meticulous recordkeeping• Created and presented graduate-level statistics education materials, encompassing exercises, assignments, quizzes, and exams• Ensured clarity in conveying complex statistical concepts through effective instructional design to enhance student comprehension and learning

• Conducted exploratory data analysis (EDA) on CO2 emissions data of manufacturing brands, identifying key patterns and trends.• Utilized data mining techniques to extract valuable insights from large datasets, contributing to project objectives.• Loaded and managed data in databases, ensuring efficient data storage and retrieval.• Performed Extract, Transform, Load (ETL) processes for data warehousing, ensuring data accuracy and consistency.• Collaborated with faculty members and researchers on data-related tasks and projects.

• Led data extraction, analysis, and visualization across multiple industries using SQL, Python, and R.• Built interactive dashboards in Tableau, driving a 17% increase in revenue by improving decision-making.• Automated data pipelines in Python, reducing manual work by 23%.• Applied machine learning for predictive modeling, increasing sales forecast accuracy by 12%.• Conducted time-series analysis to optimize inventory management and predict market trends.

• Mastered essential skills such as data analysis, machine learning, probability, and statistics, primarily utilizing R.• Demonstrated practical application of these skills in real-world projects, showcasing proficiency and problem-solving capabilities.• Utilized machine learning algorithms and statistical methods to derive actionable insights from diverse datasets, contributing to project achievements.

• Spearheaded the launch of a relational database on Amazon RDS and implemented a NoSQL database using Amazon DynamoDB.• Demonstrated proficiency in cloud computing by understanding fundamental concepts and effectively utilizing cloud services for database management.• Leveraged Amazon Web Services (AWS) to deploy and manage databases, showcasing a strong grasp of cloud-based infrastructure.