Anusha R Email & Phone Number

• Implemented machine learning algorithms, including Random Forest and Logistic Regression, achieving animpressive 85% accuracy in identifying high-risk patients.• Used Spark, Data Frame API which helps in easy manipulation, transformation, and cleansing of complex healthcaredatasets, ensuring data integrity and consistency.• Designed interactive Tableau dashboards that offered healthcare providers real-time insights into patientpopulations, aiding timely and informed… Show more • Implemented machine learning algorithms, including Random Forest and Logistic Regression, achieving animpressive 85% accuracy in identifying high-risk patients.• Used Spark, Data Frame API which helps in easy manipulation, transformation, and cleansing of complex healthcaredatasets, ensuring data integrity and consistency.• Designed interactive Tableau dashboards that offered healthcare providers real-time insights into patientpopulations, aiding timely and informed decision-making.• Utilized AWS for data warehousing and analytics, enabling high-performance querying and analysis of largehealthcare datasets.• Mined and analyzed electronic health records (EHR), claims, and demographic data to uncover nuanced trends,contributing to a notable 15% reduction in unwarranted medical procedures. Show less

• Performed comprehensive financial data analysis for a major banking client, utlizing advanced SQL queries to extract and manipulate extensive datasets from Oracle databases. This analysis provided detailed financial insights and supported strategic decision-making.• Applied Python libraries such as Pandas, NumPy, and Scikit-Learn to develop predictive models forecasting loan default probabilities. This enabled the client to manage and mi gate financial risks proactively by identifying… Show more • Performed comprehensive financial data analysis for a major banking client, utlizing advanced SQL queries to extract and manipulate extensive datasets from Oracle databases. This analysis provided detailed financial insights and supported strategic decision-making.• Applied Python libraries such as Pandas, NumPy, and Scikit-Learn to develop predictive models forecasting loan default probabilities. This enabled the client to manage and mi gate financial risks proactively by identifying high-risk accounts early. • Designed and implemented detailed dashboards in Tableau to display key performance indicators (KPIs) and financial metrics. These dashboards offered executives a real-me view of financial health, enhancing data-driven decision making and transparency. • Executed thorough statistical analyses with Python to uncover significant trends and patterns in financial transaction data. These insights informed strategies for optimizing revenue streams and reducing operational costs. Show less