Manisha Mittapelli Email & Phone Number

St. Louis, MO, US

United States

• Extracted economic and financial data from various platforms, including government databases, financial APIs, and economic reports, while ensuring proper data cleaning and organization using Airtable to maintain.
• Analyzed economic indicators such as GDP growth, unemployment rates, and inflation trends using MATLAB, identifying patterns and correlations that indicated potential recessions.
• Constructed predictive models using Python (with libraries like PyTorch and scikit-learn) to forecast recession probabilities based on historical data and current economic trends, offering valuable insights for.
• Designed visualizations and interactive dashboards using Power BI to present analysis results, effectively highlighting key economic indicators and forecasting trends to inform business decisions.
• Collaborated with economists, financial analysts, and policymakers to gather insights, share analytical findings, and develop data-driven strategies to mitigate the impact of potential recessions, actively.

India

• Participated in a financial analysis project using Python, NumPy, and Pandas, writing over 500 lines of efficient code weekly to extract, clean, and analyze large datasets, ensuring data quality and preparing it for.
• Created and maintained 7+ interactive Power BI dashboards to visualize key financial metrics, reducing financial report generation time by 30% and presenting data-driven insights to stakeholders.
• Utilized SQL and MySQL to query and manage data, executing over 100 complex queries and maintaining 2 databases, which improved data retrieval efficiency and accuracy by 20%.
• Conducted A/B testing on over 20 models annually, providing empirical data that optimized business processes and marketing campaigns, leading to a 15% increase in customer retention and sales growth.

India

• Developed automated reporting systems using Python scripting, reducing reporting time by 40% and ensuring timely delivery of accurate information for resource management and sustainability metrics.
• Utilized PostgreSQL and complex SQL queries to extract and manipulate data, collaborating with DBAs to optimize performance and maintain security standards, improving data retrieval efficiency by 25%.
• Designed and implemented data visualization solutions using Matplotlib and Seaborn, effectively communicating complex findings to non-technical stakeholders and facilitating strategic discussions, which led to a 15%.
• Conducted comprehensive EDA on diverse datasets, identifying trends and actionable insights that improved operational efficiencies by 20%, and employed statistical methods to support data-driven sustainability.

Master'S Degree, Information Technology, 3.8

🎓 Master of Science in Information Technology | August 2022 - May 2024 | Grade: A 🏆 🔍 Proficient in R, Python, MySQL, Microsoft Power BI.

Bachelor'S Degree, Civil Engineering, 6.9