Data Analyst with 4+ Years of Experience

Kavya Velishala DataAnalyst

+1-813-***-**** Florida,USA ******************@*****.*** LinkedIn PROFESSIONAL SUMMARY

• Data Analyst with 4+ years of experience in SQL, Python, and big data technologies (Hadoop, Apache Spark, Databricks), transforming raw data into actionable insights that improved operational efficiency by 30% across multiple business functions.

• Expert in predictive analytics and statistical modeling, utilizing machine learning algorithms, regression analysis, and clustering techniques to enhance data-driven decision-making, resulting in a 20% increase in forecast accuracy for business strategy teams.

• Proficient in BI reporting and data visualization, developing interactive dashboards with Tableau, Power BI, and Google Looker, reducing manual reporting efforts by 45% and enabling real-time monitoring of key performance indicators (KPIs).

• Skilled in ETL pipeline development and cloud-based analytics, leveraging SQL, Snowflake, and AWS (Redshift, S3, Lambda) to automate data workflows, reducing data ingestion time by 50% while maintaining high scalability and reliability.

• Strong expertise in data governance, compliance, and quality assurance, implementing data validation frameworks, anomaly detection systems, and RBAC policies, ensuring 99.8% data integrity and full compliance with GDPR, HIPAA, and SOC 2 standards. TECHNICAL SKILLS

Programming: Python, SQL, R, MATLAB, JavaScript

Python Packages: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, Plotly, Dash, SciPy, Beautiful Soup, NLTK Azure: Azure Data Factory, Azure Synapse Analytics, Azure Machine Learning, Azure Databricks, Azure Blob Storage, Azure Functions AWS: S3, EC2, RDS, SageMaker, Glue, Lambda, Redshift, IAM, Secrets Manager, SNS, Event Bridge Database and Analytics: MySQL, MS SQL Server, PostgreSQL, MongoDB, SQLite, Tableau, Power BI Machine Learning: Regression, Clustering, Decision Trees, Naïve Bayes, Bayesian Statistics, K Nearest Neighbors (KNN), Random Forest, Gradient Descent, SVM, PCA, Logistic Regression, GLM DevOps: Git, Docker, Kubernetes

Others: Microsoft Dynamics 365, A/B Testing, Optimization Modeling, Statistics, Excel (VLOOKUP, Pivot Tables) PROFESSIONAL EXPERIENCE

Data Analyst,IBM Aug 2024 – Present Clearwater, FL

• Engineered end-to-end data pipelines using SQL and Python, automating complex ETL workflows that reduced data processing time by 40% while improving accuracy, scalability, and real-time analytics capabilities for enterprise-wide reporting.

• Designed interactive dashboards in Power BI and Tableau, consolidating multi-source data into meaningful visual insights that enabled C-level executives to make data-driven decisions, leading to a 25% improvement in operational efficiency.

• Optimized predictive modeling frameworks using machine learning techniques such as regression analysis and clustering, increasing customer churn prediction accuracy by 18% and enabling proactive retention strategies that boosted customer engagement.

• Orchestrated large-scale data migrations to AWS and Azure, restructuring legacy systems and enabling cloud-based analytics that improved system scalability by 30% while reducing long-term storage and infrastructure costs for the organization.

• Implemented scalable data governance policies and security frameworks aligned with GDPR and CCPA, achieving a 99.5% compliance rate while enhancing data protection, privacy controls, and risk mitigation across global enterprise databases.

• Developed A/B testing frameworks and advanced statistical models to analyze user behavior and marketing trends, streamlining campaign performance tracking and increasing overall digital conversion rates by 12% through optimized targeting.

• Refined large-scale data validation and cleansing mechanisms using SQL, Python, and automation scripts, reducing reporting errors by 35% improving data reliability, and enhancing decision-making capabilities for finance and operations teams. Data Analyst, Infosys June 2020 – Dec2022 Hyderabad, Telangana

• Constructed high-performance data warehouses and optimized SQL query execution, reducing response times by 50% while enhancing reporting capabilities and enabling real-time insights across business intelligence and analytics teams.

• Created visually engaging and highly customized dashboards in Tableau and Power BI, transforming complex datasets into actionable insights that improved KPI tracking and accelerated decision-making speed by 28% across all business units.

• Enhanced fraud detection accuracy in financial transactions by implementing machine learning models using Python and anomaly detection techniques, reducing fraudulent activities by 15% while strengthening compliance monitoring and regulatory adherence.

• Automated large-scale data transformation workflows using Python, SQL, and Alteryx, eliminating redundant manual processes, reducing report generation time by 45%, and ensuring real-time data synchronization across all business units.

• Devised innovative ETL strategies to consolidate structured and unstructured data from multiple disparate sources, improving overall data accessibility while reducing inconsistencies and processing errors by 30% in critical business reports.

• Conducted in-depth exploratory data analysis (EDA) to identify key trends, correlations, and patterns, providing data-driven recommendations that enhanced operational efficiency by 20% and led to the optimization of resource allocation strategies.

• Strengthened enterprise-wide data quality frameworks by implementing rule-based validation processes and automated error-detection mechanisms, reducing data discrepancies by 25% while ensuring the reliability of reports used by senior leadership.

• Led cross-functional collaborations with data engineers, business leaders, and stakeholders to align on data strategy, governance, and analytics roadmaps, successfully reducing recurring data inconsistencies by 18% through improved processes. EDUCATION

Belhaven university in Mississippi Jan 2024 – Aug 2025 Detroit, MI Masters in information technologyand management

Osmania University in Hyderabad June 2019 – May 2022 Telangana, India Bachelors of commerce in computer applications

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