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Hetvi Shah is listed as Actively seeking Spring 2025 Internship / Full-time oppurtunities | AIML | Data Science | Data Analytics | Data Engineering | MS in Data Science @ Arizona State University at Arizona State University, based in Austin, Texas, United States. AeroLeads shows a matched LinkedIn profile for Hetvi Shah.
Hetvi Shah previously worked as Learning Assistant at Arizona State University and Machine Learning Intern at Acmegrade. Hetvi Shah holds Master Of Science - Ms, Data Science & Analytics, 3.8/4.0 from Arizona State University.
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I am a dedicated engineering student currently pursuing a Master’s in Data Science and Analytics at Arizona State University. With a strong passion for data analysis, I focus on harnessing data to drive informed decision-making and foster innovation. My coursework and hands-on projects have equipped me with a solid foundation in statistical analysis, machine learning, and data visualization.I thrive in competitive environments and actively seek opportunities to collaborate on real-world challenges. Always eager to learn, I aim to explore new horizons in data science and contribute to transformative solutions that impact industries and communities alike.
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Tempe, Arizona, United States
CSE 100: Principles of Programming with C++ CSE 205: Object-Oriented Programming and Data Structures CSE 230: Computer Organization and Assembly Language Programming CSE 310: Data Structures and Algorithms CSE 330: Operating Systems
Maharashtra, India
• Designed and implemented a robust ETL pipeline, enhancing data acquisition and cleansing, which significantly improved feature engineering capabilities through dynamic visualizations on a Power BI dashboard. • Led a stock value prediction project, leveraging Time Series Analysis, ARIMA, Temporal fusion transformer, and Random Forest algorithms to reduce pricing errors by 25% within the NYSE Historical Stock Prices Dataset. • Ensured unparalleled data integrity by implementing advanced data cleaning techniques with Pandas and NumPy, while boosting predictive accuracy through sophisticated machine learning models like SVM and Gradient Boosting Machines on S&P 500 Stock Data.
India
• Utilized Python and Tableau to analyze and visualize complex datasets, such as the Safetech’s CRM sales data. This analysis contributed to a 15% increase in operational efficiency through targeted insights. • Performed extensive data cleaning and exploratory data analysis, using techniques like outlier detection and imputation with Pandas and scikit-learn. • Designed predictive models using TensorFlow, achieving a 20% reduction in forecasting error rates for customer demand.
CSE 572: Data Mining CSE 578: Data Visualization DSE 598: Statistics for Data Analysts EEE 554: Probability & Statistics EEE 549.
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Hetvi Shah works for Arizona State University.
Hetvi Shah is listed as Actively seeking Spring 2025 Internship / Full-time oppurtunities | AIML | Data Science | Data Analytics | Data Engineering | MS in Data Science @ Arizona State University at Arizona State University.
Hetvi Shah is based in Austin, Texas, United States while working with Arizona State University.
Hetvi Shah has worked for Arizona State University, Acmegrade, and Safetech Technologies Private Limited.
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Hetvi Shah holds Master Of Science - Ms, Data Science & Analytics, 3.8/4.0 from Arizona State University.
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