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Data Analyst Power Bi

Location:
Irving, TX
Posted:
April 16, 2025

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Resume:

Charishma Chowdary

Data Analyst

Denton, TX *************@*****.*** 940-***-**** LinkedIn

PROFESSIONAL SUMMARY

A data analyst with 5+ years of experience in business process optimization, actionable insight generation, and complicated dataset analysis. Competent in using programs like Python, SQL, Power BI, Tableau, and Excel for statistical analysis, data cleansing, and visualization. Adept at converting unstructured data into insightful reports and dashboards while maintaining data efficiency and accuracy. TECHNICAL SKILLS

Languages/Packages: Python, R, SQL, Restful API, Spark, NLP, NumPy, A/B Testing and Experimentation, Big Query, SSIS, SAS, SPSS, Pandas, Matplotlib, SciPy, ggplot2, TensorFlow, Keras, SAS Visualization Tools/Database: Tableau, Power BI, ETL, JIRA, Google Analytics, Alteryx, Seaborn, Salesforce, Looker, QlikView, Pardot, Marketo, AWS, Azure, Oracle, Snowflake, Adobe Analytics, ArcGIS, QGIS, Story Map, UltraEdit, Navicat 15, MS Excel Database: MySQL, SQL Server

Management: Project Management, Agile, Scrum Framework, Google Workspace, Microsoft Project, Logistics Management, Operations Management, Supply Chain Management, Lean Six Sigma, MS Office Tools and Services: Google Big Query, Looker, Informatica Power Center, RStudio, Teradata, MS Access, MS Excel, LiveRamp Other Skills: Data Cleaning, Data Wrangling, Critical Thinking, Communication Skills, Presentation Skills, Problem-Solving. PROFESSIONAL EXPERIENCE

Pfizer Inc. TX Senior Data Analyst January 2024 – Present

• Leveraged Python, Pandas, and NLP to analyze large datasets and integrated AI models, driving a 35% improvement in predictive accuracy for decision-making.

• Developed interactive dashboards in Power BI and automated reports in MS Excel, enhancing data visualization and reducing reporting time by 30%.

• Optimized supply chain management processes through KPI analysis, improving operational efficiency by 20% and reducing logistics costs

• Created scalable data pipelines using AWS services like S3, Redshift, and Lambda, improving data processing efficiency by 25% and enabling real-time analytics.

• Employed SQL and statistical analysis to identify data patterns and streamline processes, leading to a 20% reduction in processing time and contributing to annual savings of $1M.

• Developed and optimized SAS programs for data manipulation, statistical analysis, and report generation, improving data processing efficiency by 20% and enhancing the accuracy of analytical outputs. Goldman Sachs TX Data Analyst July 2022 - December 2023

• Leveraged AWS services, including Redshift and Glue, to streamline data integration, enhance analytics efficiency, and support scalable data-driven decision-making.

• Implemented Agile methodologies in data analysis projects, fostering continuous collaboration between cross-functional teams, enhancing adaptability to changing requirements, and accelerating project delivery timelines by 30%, leading to more timely and actionable insights.

• Leveraged Python and SQL to develop and automate complex queries, resulting in a 30% reduction in data processing time and enhanced analytical accuracy.

• Performed extensive data cleaning to ensure accuracy and consistency, resulting in a 40% reduction in errors and enhancing the reliability of analytical outcomes.

• Leveraged Apache Spark for large-scale data processing, accelerating analytics workflows by 50% and enabling real-time insights from massive datasets.

• Optimized Tableau dashboards for performance and user experience, resulting in a 35% reduction in load times and improved analytical efficiency.

• Created detailed Excel reports with multi-dimensional analysis, facilitating effective decision-making and increasing the overall data-driven strategy by 25%.

Tech Mahindra India Junior Data Analyst August 2018 - July 2021

• Constructed and executed machine learning models using TensorFlow, incorporating cutting-edge algorithms to extract predictive insights and using data cleaning methods to guarantee precise, high-quality datasets for model analysis and training.

• Employing best practices, an ETL pipeline was built with AWS Glue to automate data transformation, extraction, and preparation.

• Improvement in strategic analysis and buy-in through the creation of Tableau visualizations and reporting dashboards to detect trends.

• Optimized supply chain processes by identifying bottlenecks and implementing solutions, reducing lead times by 15% and improving overall efficiency. Utilized Microsoft Office, including PowerPoint and pivot tables, to analyze business processes and deliver data-driven insights, while applying strong attention to detail and interpersonal skills. Led business analysis and quality assurance efforts, focusing on content management, database architecture, and contract management, driving innovation and process improvements across enterprise-level projects.

• Streamlined data retrieval and query performance using MySQL and SQL, reducing execution time by 30%.

• Established and refined machine learning models based on Python to evaluate intricate datasets, producing useful insights and a 25% improvement in decision-making.

EDUCATION Master's in Computer Science,

University of North Texas, Denton, USA.

Bachelors in Computer Science,

BVC College of Engineering, Andhra Pradesh, India. CERTIFICATIONS

AWS Solutions architect.



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