Meghana Ramireddy

Experienced Data Professional with 2.5+ years of combined experience in Database Administration and Data Analysis, specializing in data management, predictive analytics, and business intelligence. Proficient in SQL Server, NoSQL, Azure SQL, Python, R, and ETL pipelines, with expertise in data wrangling, visualization, and statistical analysis. Skilled in designing and maintaining scalable databases, optimizing performance, and implementing backup & recovery strategies. Strong knowledge of machine learning models, big data technologies, and cloud platforms (AWS, Azure, GCP) to optimize workflows and drive insights. Adept at automation using Ansible, database security, and stakeholder collaboration to enhance decision-making, efficiency, and business performance

• Customer Relationship Management (CRM) System Implementation, Led the end-to-end implementation of a CRM system by collaborating with stakeholders to gather key business requirements and map current and future-state processes. Conducted user acceptance testing (UAT) and facilitated training sessions to ensure seamless adoption, improving customer engagement and operational efficiency.
• Breast Cancer Tumor Classification Modeling, Developed a machine learning model to classify breast cancer tumors using K-Nearest Neighbors (KNN) and Decision Trees. Achieved a high classification accuracy of 95.26% with KNN and 92.04% with Decision Trees, optimizing predictive performance through feature engineering and hyperparameter tuning.