Data Analyst Power Bi
Resume:
SAI KOWSHIK DEVATHI
Data Analyst Jersey City, NJ 07310 +1-201-***-****
SUMMARY
Results-driven Data Analyst with 3+ years of experience in delivering business intelligence solutions and data-driven strategies across telecom and financial sectors. Proficient in Power BI, Tableau, SQL, and Alteryx with hands-on expertise in predictive analytics, data automation, and real-time dashboarding. Adept at leveraging cloud platforms
(Azure, Snowflake, BigQuery) and no-code/low-code tools to build scalable data pipelines and machine learning models. Recognized for improving customer retention, enhancing financial forecasting accuracy, and streamlining ETL workflows by up to 70%. Award-winning performer known for delivering high-impact analytics projects with precision and speed.
TECHNICAL SKILLS
Data Analysis: Excel (Pivot Tables, Power Query, VBA), Google Sheets, SQL (Basic Queries, Joins, Aggregations) BI & Visualization: Power BI, Tableau, Google Data Studio, Looker, QuickSight ETL & Data Prep: Alteryx, KNIME, Talend, EasyMorph, Trifacta, Zapier, Power Automate Reporting & Automation: Power Automate, Google Apps Script, Tableau Prep, Apache Nifi Cloud Data Platforms: Google BigQuery, AWS QuickSight, Snowflake, Databricks (No-Code UI) Low-Code ML: DataRobot, Google AutoML, Amazon SageMaker Autopilot, Azure ML Designer Data Engineering (No-Code): Fivetran, Stitch, dbt (No-Code), Airbyte, Informatica, MuleSoft No-Code AI & NLP: MonkeyLearn, OpenAI API (Low-Code), ChatGPT Custom GPTs, Dialogflow Collaboration & Workflow: Notion, Monday.com, Asana, Airtable, JIRA, Slack (Workflows) Databases (No-Code): Google Firebase, Airtable, Zoho Creator, AWS Honeycode, Microsoft Dataverse WORK EXPERIENCE
Data Analytics Engineer Oct 2024 – Present
AT&T
• Developed and maintained interactive dashboards using Power BI and Tableau to monitor key performance indicators
(KPIs) related to network performance, customer satisfaction, and service delivery, enhancing real-time decision-making capabilities.
• Automated ETL processes utilizing Alteryx and SQL Server Integration Services (SSIS), streamlining data workflows and reducing manual data handling by 70%.
• Collaborated with cross-functional teams to design and implement churn prediction models using Azure Machine Learning, contributing to a 15% improvement in customer retention strategies.
• Integrated real-time data feeds from network monitoring tools into Tableau dashboards, enabling proactive identification and resolution of service outages and performance issues.
• Conducted comprehensive data analyses to identify trends and patterns in customer behavior, informing targeted marketing campaigns and service improvements.
• Implemented data quality checks and validation processes using Great Expectations, ensuring the accuracy and reliability of data used in reporting and analytics.
• Developed and distributed automated reports through Power Automate and Excel Power Query, facilitating timely dissemination of insights to stakeholders.
• Utilized Azure Text Analytics to perform sentiment analysis on customer feedback, providing actionable insights to enhance customer service experiences.
• Supported data governance initiatives by establishing role-based access controls and maintaining metadata documentation in Microsoft Purview.
• Optimized SQL queries and database performance, reducing report generation times by up to 60% and improving overall system efficiency.
• Created self-service BI solutions for regional managers, enabling them to independently access and analyze subscriber growth, usage patterns, and promotional effectiveness.
• Assisted in migrating legacy reporting systems to modern BI platforms, improving data accessibility and consistency across departments.
• Engaged in continuous learning to stay abreast of emerging data analytics tools and methodologies, contributing to the team's innovation and adaptability.
Data Science Engineer Aug 2021 – Dec 2023
Infosys
• Developed real-time trading dashboards in Power BI, reducing decision-making delays by 50% for portfolio managers.Automated ETL pipelines in SQL and Alteryx, reducing manual data processing time by 60% for financial reporting.Designed a market risk analytics platform in Tableau, allowing traders to track volatility in real time.
• Created AI-powered stock price prediction models using Python (Scikit-Learn, XGBoost), improving forecasting accuracy by 20%.Integrated Bloomberg and Reuters APIs into Power BI dashboards for real-time financial data tracking.Developed automated fraud detection pipelines using Azure ML, reducing fraudulent transactions by 10M annually.
• Implemented SQL-based ETL processes for credit risk analysis, improving regulatory compliance reporting.Optimized financial portfolio performance tracking in Tableau, reducing report load time by 40%.Built anomaly detection dashboards for trading activities using Looker Studio and Azure Cognitive Services.
• Designed an automated financial reconciliation system in Power BI, ensuring 99.9% transaction accuracy.Created predictive risk models for mortgage-backed securities, helping analysts mitigate financial risk exposure.Developed customer segmentation models using Google AutoML, enhancing targeted investment strategies by 25%.
• Implemented multi-source data blending in Tableau to merge stock price trends with economic indicators.Built real-time FX
(foreign exchange) rate monitoring dashboards using Power BI, helping traders make instant decisions.Automated AML
(Anti-Money Laundering) checks using UiPath RPA, improving compliance efficiency by 80%.
• Developed stress testing models in Python to simulate financial downturn scenarios for investment portfolios.Created time- series forecasting dashboards in Tableau for predicting stock market trends and investment returns.Integrated AI-based chatbot analytics in Power BI to monitor customer trading queries and complaints.
• Optimized SQL queries for investment risk reporting, reducing processing time from 12 minutes to 30 seconds.Built geospatial risk assessment dashboards in Tableau, mapping financial crime hotspots by region.Developed automated PL tracking reports in Power Query, reducing manual financial analysis effort by 70%.
• Implemented role-based access controls in Power BI, ensuring secure access to sensitive financial data.Automated hedge fund performance reporting using Alteryx and Python, increasing efficiency by 50%.Designed portfolio diversification analysis dashboards in Power BI, helping investment advisors optimize client portfolios.Developed real-time credit risk exposure monitoring dashboards in Tableau, improving risk mitigation strategies.Implemented AI-driven customer churn prediction models for retail banking, increasing retention rates by 15%.
• Built fraudulent trading activity detection models using AutoML, preventing 5M in financial losses.Created sentiment analysis dashboards for investor reports using Azure Text Analytics, improving market insights.Optimized cloud-based financial data storage architecture using Snowflake, reducing infrastructure costs by 30%. EDUCATION
Sacred Heart University Fairfield, CT, USA
Master of Science in Computer and Information Sciences Panimalar Institute of Technology Chennai, India
Bachelor of Engineering in Mechanical Engineering
Certifications
• Microsoft Certified: Power BI Data Analyst Associate
• Alteryx Designer Core Certified
• Google Cloud Professional Data Engineer
• Microsoft Certified: Azure Data Scientist Associate ACHIEVEMENTS
• Excellence in Project Delivery Award for consistently delivering large-scale software solutions within tight deadlines, with zero escalations and 100% client satisfaction.
• Awarded “Above and Beyond Award Individual” for on-time deliverables with zero escalations.
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