Data Analyst Power Bi

Srivyshnavi Kommera

Oklahoma City, OK 405-***-**** **********@*******.*** LinkedIn

SUMMARY

Insightful Data Analyst with 3+ years of experience leveraging SQL, Python, and Microsoft Power BI to build scalable reporting solutions, interpret data trends, and drive business intelligence. Skilled in process improvement, UX-aware dashboard design, and transforming business requirements into data-driven strategies. Recognized for accuracy, operational excellence, and working cross-functionally to deliver high-impact insights. Known for delivering actionable business insights and supporting data-driven initiatives across multiple industries.

SKILLS

• Programming & Scripting Languages: Python, R, SQL, PL/SQL, Spark, RESTful APIs, Java, Transact-SQL

• Data Analysis & Statistical Tools: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, Keras, Experimentation Design, NLP, SAS, SPSS

• Data Visualization & BI Tools: Tableau, Power BI, Seaborn, Matplotlib, QlikView, Excel (Advanced), Google Analytics

• Data Engineering & ETL Tools: Apache Airflow, SSIS, AWS Glue, SQL Stored Procedures, Data Wrangling, Data Cleaning

• Cloud Platforms & Databases: AWS (Redshift, Athena, S3), Azure, Snowflake, Oracle, MySQL, SQL Server, MongoDB, MS Access

• Project & Product Management Tools: Agile/Scrum, Microsoft Project, Logistics & Operations Management, MS Office, Project Planning

• CRM, Marketing & Automation Tools: Pardot, Google Analytics, Campaign Reporting, Learning Management Systems

• Documentation & Reporting: Report Writing, Requirements Gathering, SOP Documentation

• Other Tools & Utilities: UltraEdit, Navicat 15, MS Excel (PivotTables, VLOOKUP, VBA), Version Control (Git), Data Governance Basics

• Soft Skills: Critical Thinking, Problem Solving, Presentation Skills, Stakeholder Engagement, Collaboration, Interpersonal skills, Resilient, Troubleshooting, analytical, problem-solving skills, communication skills, detail-oriented

• Certifications: Google Data Analytics Professional, Power BI and Visualization by Microsoft and LinkedIn PROFESSIONAL EXPERIENCE

Goldman Sachs Data Analyst Sep 2024 - Present

• Automated ETL workflows for MongoDB NoSQL databases using Apache Airflow, increasing pipeline reliability by 90% and transitioning from daily to near real-time data refreshes for key financial datasets.

• Designed and optimized SQL queries, stored procedures, and ETL pipelines, improving data transformation efficiency by 45% and enabling real-time analytics for business stakeholders.

• Developed Python scripts (Pandas, NumPy, Scikit-learn) to automate data cleaning, feature engineering, and model training, cutting manual processing by 50% and accelerating insight generation.

• Built a scalable financial data lake using AWS Redshift, Glue, and Athena, enhancing cross-departmental data access by 60% and reducing query costs by 35% through efficient partitioning and caching.

• Created and deployed predictive models using machine learning and statistical methods (regression, time-series forecasting) to analyze market trends and customer behavior, improving forecast accuracy by 35%.

• Partnered with AI/ML engineering teams to integrate models into production systems, ensuring seamless data pipeline orchestration and real-time model performance monitoring, boosting decision-making accuracy by 25%.

• Conducted ad-hoc analysis and developed insightful reporting solutions using Microsoft Power BI, Excel (including advanced formulas and Macros), improving decision-making through accurate and user-friendly dashboards.

• Supported regulatory compliance by incorporating state laws into data analysis logic for secure and compliant reporting workflows. Deloitte Data Analyst Jan 2021 - Jul 2023

• Designed and optimized database architectures on Oracle, SQL Server, and Snowflake, applying performance tuning and cloud data warehousing strategies that reduced query response times by 40% and scaled infrastructure to support 50% YoY data growth.

• Processed and analyzed large-scale datasets (1TB+) using Big Data tools including Apache Spark, Hadoop, and Hive, uncovering behavioral insights that drove 22% upsell revenue growth for retail clients via data-driven recommendations.

• Automated data validation and reporting with Python (Pandas, Matplotlib), reducing errors by 25% and cutting report delivery time from several hours to minutes, significantly improving client service delivery.

• Conducted advanced data mining and analytics using PL/SQL, delivering insights that enhanced decision-making accuracy by 20% for finance and operations teams across multiple industry verticals

• Built and deployed real-time dashboards using Tableau, enabling KPI tracking and boosting project management efficiency by 30%, while improving cross-functional visibility.

• Used Google Analytics to examine website traffic and user behavior, identified conversion rate bottlenecks, and delivered insights that led to an 18% increase in digital marketing ROI

• Collaborated with admissions and financial aid departments to ensure timely and accurate reporting aligned with institutional priorities. EDUCATION

Oklahoma City University, OK, USA Master's, Computer Science with Data Science Specialization Kakatiya University, Telangana, India Bachelor's, Information Technology

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