Vikram D

About Vikram D

Data Analyst | Transforming Data into Actionable Insights for Informed Decision-Making As a motivated and detail-oriented Data Analyst with a Master\'s in Information Studies, I am passionate about leveraging data to solve complex business problems. My academic background and hands-on project experience have equipped me with a strong foundation in the full data analysis lifecycle—from data extraction and cleaning to analysis and visualization. I specialize in using SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), and Power BI/Tableau to uncover trends, build interactive dashboards, and communicate findings clearly to support strategic decisions. My technical skill set includes: Data Analysis & Visualization: Excel (Pivot Tables, Power Query), Power BI, Tableau Programming & Databases: SQL, Python, MySQL, PostgreSQL Statistical & ETL Processes: Hypothesis Testing, Regression, Data Wrangling, and Validation Through my projects, I have demonstrated the ability to derive meaningful insights, such as identifying sales trends, analyzing factors behind employee attrition, and performing sentiment analysis on customer feedback. I am eager to apply my analytical, problem-solving, and critical-thinking skills in a collaborative environment to drive business value. I am actively seeking full-time opportunities as a Data Analyst, Business Analyst, or Data Specialist where I can contribute to data-driven success and continue to grow professionally.

Experience

1. Data Analyst

   Kaiser Permanente

   Jul 2023 — Present · Oakland, CA, US

   Analyzed patient data from over medical records to identify care patterns and improve treatment outcomes, resulting in a 15% increase in patient satisfaction scores across three hospital systems.· Built automated data pipelines using Python and SQL to clean and process clinical information from multiple hospital databases, cutting down data preparation time by 40%.· Designed interactive Tableau dashboards that helped hospital administrators track important metrics like patient readmission rates, average stay duration, and treatment success rates.· Studied medication compliance data using statistical methods to find patterns in patient behavior and suggest better approaches for managing chronic conditions.· Worked closely with doctors and nurses to set up tests comparing different treatment methods, then analyzed the results to see which approaches worked best.· Created machine learning models using Random Forest and Logistic Regression to predict when patients might miss appointments, achieving 85% prediction accuracy.· Checked data quality regularly and set up procedures to keep patient information secure and follow HIPAA privacy rules.· Wrote complex SQL queries to pull useful information from electronic medical records and insurance claim systems.· Presented findings to hospital leadership through detailed reports and monthly meetings, helping them make better decisions about patient care.· Set up automated reporting systems using Python that reduced manual work by 60% and made reports more accurate.· Performed patient group analysis to track how well treatments worked over time and identify which patients responded best to different therapies.· Supported community health programs by studying how factors like income and location affect patient health outcomes.

Education

• Trine University

  Master's degree, Masters in information Studies

• Sreenidhi Institute of Science and Technology

  Bachelor's Degree, Mechanical Engineering