Shivani K. is a dedicated Data Analyst based in Hyderabad, leveraging her background in Chemical Engineering from the National Institute of Technology, Warangal. Transitioning into data analytics, she capitalizes on her robust quantitative skills and has honed expertise in Python, SQL, and Power BI. During her tenure as a Research Intern at the Defence Research and Development Organisation in Hyderabad, she conducted quantitative data analysis on alloy variations, extracting predictive insights for maintenance strategies. Shivani executed a consumer spending pattern analysis on over 26,000 transactions, as well as a customer churn prediction model with a logistics regression classifier achieving 91% accuracy. Her academic projects display her ability to synthesize large datasets into actionable insights, such as optimizing vendor performance and inventory using extensive SQL and Python processing. She has received accolades such as the NSP Scholar award and showcased leadership by managing large-scale events at her institute.
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