Naveen Raja

<p>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.<br>
Employed descriptive statistics and statistical concepts including covariance and correlation to identify significant variables for regression analysis, resulting in reduction in irrelevant features.<br>
Advanced insightful visualizations using various charts to illustrate data patterns and relationships, aiding in improvement in data interpretation.<br>
Applied linear regression for predictive modeling, achieving an 10% accuracy rate in predicting target variables, thus optimizing business decision-making with actionable insight.</p>

<p>We'll design and implement a relational database system to store patient and doctor information, medical records, and treatment details<br>
We'll utilize SQL queries to perform various analyses such as patient demographics, disease prevalence, treatment outcomes, and hospital performance metrics.<br>
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.</p>

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