Albrin Richard

Experience

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  E-con Systems

  May 2019 - Jun 2021

  Data Analyst

  • Developed predictive analytics models and conducted data analysis using Tableau and Python, leveraging libraries like Pandas, NumPy, and Matplotlib to improve data interpretation.• Demonstrated extensive proficiency in SQL, crafting complex queries, and managing large databases, contributing to approximately 18% of project involvement.• Managed a 2 terabyte MySQL database, ensuring timely and accurate data extraction for various teams.• Played a critical role in data integration projects, utilizing SSIS for data extraction and loading, significantly advancing project objectives.• Spearheaded the deployment of interactive Tableau Dashboards on Tableau Server, ensuring seamless data accessibility and visualization across multiple platforms.• Utilized Python's Pandas and NumPy libraries for efficient data wrangling, ensuring data integrity and quality while reducing preprocessing time by 30%.• Developed impactful Tableau reports, dashboards, and data visualizations, leading to a 20% increase in stakeholder data-driven decision-making.• Actively involved in implementing data strategies and leveraging data science methodologies to drive business growth, optimize key performance indicators (KPIs), and enhance enterprise-level analytics. Show less

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  College of Continuing Education (CCE) at Sacramento State

  Jan 2022 - May 2023

  Data Analyst

  • Utilized Python statistical analysis tools for regression, confidence intervals, and hypothesis testing, driving data-driven business suggestions.• Employed a combination of SQL queries, Python (Pandas, NumPy), and Power BI to extract, clean, analyze, and visualize large datasets of conference attendee responses, course feedback, and resource utilization within the application.• Conducted root cause analysis using time-series analysis and exploratory data analysis (EDA) to uncover insights and identify areas for improvement.• Implemented database indexing and performance enhancements in MySQL, achieving a 40% reduction in query execution time, a 20% increase in concurrent user support, and a 25% improvement in overall data retrieval efficiency, facilitating quicker, more responsive data-driven insights and decision-making.• Leveraged expertise in big data and cloud technologies, including Azure Data Studio, AWS EMR, and MapReduce, to optimize data handling and analytics capabilities within the application.• Collaborated with data scientists to implement machine learning models, integrating REST APIs and JavaScript for web connectivity.• Created interactive visualizations with Matplotlib and Seaborn to communicate insights to non-technical stakeholders and guide strategic decision-making. Show less

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  Intel Corporation

  May 2023 - Aug 2023

  Data Analyst

  • Applied statistical analysis techniques in Python for hypothesis testing, confidence interval estimation, and regression analysis, guiding data-driven business recommendations.• Utilized Pandas and NumPy for large dataset manipulations, improving data preprocessing efficiency by 20% and refining the analytical workflow.• Developed predictive maintenance models using machine learning algorithms, resulting in reduced downtime and maintenance costs on GPU servers. Conducted root cause analysis using time-series analysis and anomaly detection techniques.• Created interactive visualizations with Matplotlib and Seaborn to effectively communicate findings to engineering teams.• Experienced in conducting data analysis and creating insightful reports using Excel, translating complex data into actionable insights to support strategic decision-making.• Collaborated with data scientists to deploy machine learning models into production environments.• Delivered automation tools and streamlined workflows in JIRA, leading to expedited bug fixes and enhanced release tracking.• Automated release tracking with Python scripts, utilizing JIRA API for real-time updates and Linux task scheduling for release note compilation. Show less

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  Capital One

  Jan 2024 - now

  Data Analyst

  • Designed and implemented ETL pipelines to extract, transform, and load large banking and credit datasets, resulting in streamlined data processing and enhanced operational efficiency within financial operations.• Utilized Python and SQL to manipulate and analyze complex banking and credit data, ensuring data integrity and accuracy in compliance with financial industry standards.• Demonstrated proficiency in handling large datasets related to banking and credit, employing SQL, Python, and ETL techniques to extract valuable insights and support data-driven decision-making processes.• Developed predictive models and optimized banking and credit processes, leading to a 15% increase in operational efficiency and improved financial outcomes.• Contributed to the creation of dashboards to visualize and track key performance indicators (KPIs) in areas such as loan processing, risk assessment, customer retention, and claims management, providing actionable insights to stakeholders and facilitating informed financial decision-making and performance monitoring.• Collaborated with cross-functional teams, aligning data requirements with banking and credit business objectives to ensure analytical solutions effectively met organizational needs.• Utilized GitHub and Git for version control and collaborative codebase management, ensuring efficient teamwork and project continuity. Show less