Rishitha Bejjanki

Business Data Analyst with 3+ years of experience in AI-driven analytics, machine learning and advanced statistical analysis, delivering actionable insights that drive strategic and operational decision-making. Experienced across full analytics lifecycle from data engineering and ETL to predictive modeling, experimentation and executive dashboards using SQL, Python, AWS, Azure and BI tools. Translate complex data into actionable insights, define KPIs and drive measurable business impact through cross-functional collaboration. Technical Skills: Data Analytics and Business Intelligence: SQL (advanced querying, CTEs, subqueries, performance testing), Python (Pandas, NumPy, scikit-learn, SciPy, Statsmodels, Matplotlib, Seaborn, Jupyter), Tableau, Power BI (DAX), Looker, Qlik, Excel, Google Sheets, KPI Design, Data Storytelling, Executive Reporting, Ad-hoc analysis. AI-driven Analytics & Statistical Modeling: Machine Learning (regression, classification), Predictive Modeling and Forecasting, Hypothesis Testing, A/B Testing, Time-Series Analysis, Statistical Analysis and Experimental Design, AI-driven Analytics and Decision Intelligence. ETL, Data Engineering: ETL/ ELT Pipeline Development, Apache Airflow, Informatica, AWS Lambda, AWS Glue, Azure Databricks, Data Automation and Ingestion Frameworks. Cloud & Data Platforms: Snowflake, SQL Server, Oracle, AWS (Redshift, S3, Lambda, RDS) Azure (Databricks, Azure AI ML Studio, Azure SQL) GCP (BigQuery, Looker Studio). Data Modeling, Governance & Security: Data Modeling &RDBMS Architecture, Data Quality and Validation Frameworks, Data Governance & Compliance (HIPAA, GDPR, SOC 2), IAM Policies & Role-Based Access Control (RBAC) Collaboration & Delivery: Agile/SDLC Methodologies, Jira, Confluence, Cross-Functional Collaboration, Stakeholder Management & Requirements Gathering.