Data Analyst Power Bi

Reddy Likhith Ragiakula

Data Analyst

+* (603-***-**** **************@*****.*** LinkedIn

Professional Summary

•Data Analyst with 4+ years of expertise in data analysis, statistical modeling, and data visualization, delivering actionable insights to drive strategic, data-driven decision-making across industries.

•Proficient in advanced analytics tools and programming languages including Python, R, SQL, and SAS, with expertise in leveraging machine learning techniques such as regression, clustering, and decision trees to solve complex business problems.

•Skilled in building impactful visualizations using Tableau, Power BI, and Excel, effectively translating complex datasets into intuitive dashboards and reports to support key business decisions.

•Adept at designing and optimizing ETL pipelines using tools like Snowflake, Alteryx, DBT, and SnapLogic, improving data workflows and ensuring high data quality for analytics and reporting purposes.

•Expertise in cloud platforms and big data technologies, including AWS, Azure, and GCP, with hands-on experience in data warehousing, processing, and storage solutions such as Redshift and RDS to support scalable data operations.

•Strong understanding of financial analytics and regulatory compliance standards, including SOX and Basel III, with a proven track record of analyzing large-scale financial and transactional data to improve operational efficiency, reduce costs, and support risk management strategies.

Skills

Data Analysis & Visualization: Python, R, SQL, SAS, Tableau, Power BI, ggplot2, Matplotlib, Seaborn, Excel.

Machine Learning & Statistical Modeling: Regression Analysis, Time Series Forecasting, Risk Modeling, A/B Testing, Clustering, Decision Trees, Random Forests, Predictive Modeling, Fraud Detection Models

ETL & Data Engineering: Snowflake, Alteryx, DBT, SnapLogic, Matillion ELT, Apache Spark, Airflow.

Programming & Scripting: Python (NumPy, Pandas, SciPy, Scikit-learn), R, SQL.

Databases: MySQL, PostgreSQL, MongoDB, SQL Server, AWS Redshift.

Cloud Platforms: AWS (EC2, S3, RDS), Azure, GCP.

Data Management: Data Cleaning, Data Integration, Data Warehousing, ETL Processes, Data Governance. Methodologies & Tools: Agile, Waterfall, JIRA, Confluence, Visual Studio Code, PyCharm, Jupyter Notebook.

Work Experience

Goldman Sachs Group Jan 2025 – Present

Data Analyst United States

•Analyzed large-scale financial datasets (trading, investment, and client transaction data) to uncover trends, improve reporting accuracy, and enhance strategic decision-making

•Performed exploratory data analysis (EDA) using Python (Pandas, Matplotlib) and R (ggplot2), identifying inefficiencies in internal financial processes that contributed to a 15% reduction in reporting delays.

•Built predictive models (regression, decision trees, clustering) to support risk assessment, fraud detection, and investment forecasting, improving risk mitigation accuracy by 20%.

•Designed and deployed interactive dashboards in Tableau and Power BI, enabling executives and stakeholders to track KPIs such as portfolio performance, revenue growth, and operational efficiency in real time.

•Migrated legacy financial reports to SQL Server–backed Tableau dashboards, improving scalability and reducing manual reporting by 30%.

•Developed and optimized ETL pipelines with Alteryx and Snowflake, streamlining ingestion of market data feeds, regulatory data, and internal transactional records to improve data accuracy by 15%.

•Partnered with compliance and risk teams to ensure all analytics pipelines aligned with financial regulations (Basel III, SOX), minimizing compliance risks.

Streebo Inc. Mar 2020 – Aug 2023

Data Analyst India

•Engineered ETL pipelines integrating REST APIs and multi-database systems into Snowflake, reducing data processing time by 20%

•Developed an Investor Recommendation System by integrating Crunchbase data via SnapLogic and advanced ML models, improving decision-making insights by 35%.

•Automated ETL workflows with Python & SQL, cutting manual intervention by 40% and increasing consistency.

•Implemented AWS Redshift data warehousing, optimizing storage and queries to support real-time analytics.

•Revamped LACRM application workflows and built Power BI dashboards, improving efficiency by 30%.

•Designed 50+ data mappings in Matillion ELT, streamlining staging and transformation processes.

•Built KPI dashboards in Tableau, providing actionable insights to stakeholders for real-time business performance.

•Improved dataset accuracy by 20% through advanced data cleaning techniques using Python (NumPy, Pandas), streamlining analysis workflows.

•Optimized revenue analytics processes using SQL and Excel, reducing processing time by 40% and increasing accuracy by 25%.

•Delivered impactful presentations with clear data storytelling using ggplot2, boosting presentation effectiveness by 30%.

•Leveraged AWS services (EC2, S3, RDS) for scalable data storage, processing, and analysis, enabling efficient data management solutions.

•Collaborated in Agile sprint meetings and iterative planning sessions, ensuring timely project delivery and alignment with organizational goals.

Education

Southern New Hampshire University Sep 2023 – Apr 2025

Masters in Information Technology Manchester, NH

Anna University Chennai Jun 2016 – Sep 2020

Bachelors in Electrical and Electronics Engineering Chennai, India

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