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@rishimallela
Aspiring data analyst with expertise in business analytics and machine learning.
I am a dedicated and detail-oriented business analytics student at The University of Texas at Dallas, with a strong foundation in data analysis and machine learning. My internship experiences have equipped me with practical skills in utilizing Python and SQL to extract insights from complex datasets. At Zephyr, I successfully contributed to a 10% increase in team win rate by providing data-backed insights through meticulous analysis of soccer match data.
In my role at Fisher Investments, I supported financial operations for over $200B in managed assets, ensuring accuracy and compliance in client portfolio transfers. My ability to interact with high-net-worth clients while maintaining a 95% satisfaction rate showcases my commitment to operational integrity and client service. I am passionate about leveraging data to drive strategic decisions and improve outcomes.
Currently, I am working on a healthcare claims data discrepancy analysis project, where I am developing a diagnostic framework to identify and address discrepancies using advanced machine learning techniques. I am eager to bring my analytical skills and innovative mindset to a dynamic team that values data-driven decision-making.
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Work history, roles, and key accomplishments
Zephyr
Aug 2024 - Dec 2024 (4 months)
Utilized Python-based video labeling tools to extract and annotate soccer match data from 500+ hours of footage for ML analysis. Supported training and evaluation of ML models, achieving 95% accuracy in game state prediction and contributing to a 10% increase in team win rate by providing data-backed insights.
Fisher Investments
Feb 2024 - Sep 2024 (7 months)
Supported financial operations for over $200B in managed assets, focusing on annuity processing, data validation, and transfer workflows optimization. Conducted detailed asset and annuity data analysis using Microsoft Excel to ensure accuracy and compliance in client portfolio transfers, maintaining 95% client satisfaction.
Re-Vive
Jun 2023 - Jan 2024 (7 months)
Extracted and analyzed over 1M NFL player records using MS SQL and ViVE, improving coaching decision accuracy by 15%. Developed 10+ ViVE BI dashboards, cutting manual reporting time by 30% and enabling real-time insights, while streamlining data workflows with process intelligence to reduce bottlenecks by 25%.
Herb's House Coffee + Company
Apr 2023 - Aug 2023 (4 months)
Analyzed customer purchases and sales trends using Excel, supporting data-driven marketing strategies and exceeding sales quotas by 100%. Utilized POS Analytics to forecast inventory needs, reducing stock shortages by 20%, and collected customer feedback to identify process improvement opportunities, increasing sales by 30%.
Degrees, certifications, and relevant coursework
Bachelor of Science, Business Analytics, Minor in Business Administration
Pursued a Bachelor of Science in Business Analytics, focusing on data-driven decision-making and analytical techniques. Additionally, completed a minor in Business Administration to gain a broader understanding of business principles.
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