Manisha Mittapelli Email & Phone Number

St. Louis, Mo, Us

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 high-quality data for analysis.• 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 informed decision-making.• 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 participating in discussions and planning sessions.

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 in-depth analysis.• 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% increase in data-driven decisions.• 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 strategies.

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