Naveen Raja

Conducted comprehensive data cleaning and wrangling of Terro’s real estate agency dataset, achieving a 15% reduction in missing values and anomalies, ensuring data integrity.
Employed descriptive statistics and statistical concepts including covariance and correlation to identify significant variables for regression analysis, resulting in reduction in irrelevant features.
Advanced insightful visualizations using various charts to illustrate data patterns and relationships, aiding in improvement in data interpretation.
Applied linear regression for predictive modeling, achieving an 10% accuracy rate in predicting target variables, thus optimizing business decision-making with actionable insight.

We'll design and implement a relational database system to store patient and doctor information, medical records, and treatment details
We'll utilize SQL queries to perform various analyses such as patient demographics, disease prevalence, treatment outcomes, and hospital performance metrics.
To Perform Count of Male vs. Female Patients and Percentage of Male and female Patients, top 5 Common diagnoses and Top 3 doctors Treating Most patients and readmission rate within 30 days.

Cleaned and standardized 7 datasets, achieving a 10% reduction in data redundancy and improving data accuracy.
Implemented advanced statistical models to analyze content trends, resulting in increase in predictive accuracy for identifying emerging topics.
Created comprehensive data visualizations using Tableau, enhancing data accessibility and understanding, resulting in a 20% improvement in data-driven decision-making.
Developed a PowerPoint deck and video presentation to communicate key insights, driving a increase in client engagement and understanding of data-driven recommendations.