Summary
Overview
Work History
Education
Skills
Affiliations
Timeline
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Akash Reddy Pullagurala

Irving,TX

Summary

As a Data Analyst with 4 years of experience, I'm passionate about transforming raw data into valuable insights that help businesses grow and innovate. Over the years. I've sharpened my skills in data analysis, reporting, and visualization using tools like SQL, Python, Excel, Power B1, and Tableau. My focus is on identifying trends, solving problems, and streamlining processes to boost performance and help organizations make smarter decisions. I enjoy working with different teams, taking complex data and turning it into clear, actionable information that anyone can understand. Whether its building user friendly dashboards or automating reports, I'm driven by the goal of providing Practical data driven solutions. I'm especially proud of my work in improving operational efficiency by 20% and helping increase customer retention by 15% through in-depth analysis or customer behavior. Always curious and eager to learn, stay up to date on the latest tools and trends in the data analytics field. I'm excited to connect with others who are passionate about using date to drive growth and transformation Resourceful Graduate Research Assistant passionate about advancing knowledge in [Subject] through high-quality research. Self-motivated professional with excellent communication, planning and problem solving abilities.

Overview

5
5
years of professional experience

Work History

Graduate Research Assistant (Data Analysis)

University Of North Texas
05.2023 - 05.2024
  • Conducted comprehensive data analysis using advanced statistical methods such as regression analysis, hypothesis testing, and time series forecasting to support research on chronic diseases and health outcomes.
  • Utilized machine learning algorithms, including classification and clustering techniques, to identify key patterns and segment populations based on health risk factors.
  • Developed predictive models using Python libraries (e.g., scikit-learn, TensorFlow) to forecast disease progression and evaluate intervention effectiveness.
  • Applied exploratory data analysis (EDA) techniques using Pandas and NumPy to assess data distributions, detect anomalies, and validate data quality.
  • Implemented Natural Language Processing (NLP) methods to extract insights from unstructured text data, such as patient surveys and clinical notes.
  • Designed interactive dashboards in Power BI and Tableau to visualize complex datasets and research findings, enhancing data storytelling and decision-making.
  • Performed multivariate analysis and ANOVA to compare groups and investigate the impact of different variables on health outcomes.
  • Utilized advanced statistical software to analyze large datasets, uncovering key insights for informed decision-making.
  • Participated in regular meetings with project supervisors, providing progress updates and discussing potential challenges or areas for improvement.
  • Conducted data mining and feature engineering to identify key variables and improve model performance, leading to more accurate research conclusions.
  • Automated ETL processes to streamline data cleaning and transformation, reducing data preparation time by 30%.
  • Collaborated with researchers to draft detailed reports, documenting methodologies, analytical results, and recommendations for future research directions.

Data Analyst

Accenture
03.2019 - 11.2022
  • Developed an ETL process to clean and transform data from multiple sources and load it into a data warehouse.
  • Developed and maintained databases and data warehouses to store and retrieve data efficiently.
  • Designed and optimized SQL queries to improve data retrieval performance.
  • Used ETL tools to transform and clean data, improving data quality and accuracy.
  • Created data models and documented data flows to enhance system architecture and data quality.
  • Conducted data entry and verification to ensure data accuracy and completeness.
  • Developed and implemented a data backup and recovery system, increasing data security and reducing downtime in the event of a system failure.
  • Built a data lake to enable access to structured and unstructured data sources, facilitating faster and more accurate insights.
  • Developed and implemented data quality processes to ensure the accuracy and completeness of data.
  • Utilized data visualization techniques to uncover key insights from large datasets.
  • Used data visualization tools to create interactive graphical representations of financial data.
  • Created a data visualization dashboard that allowed researchers to quickly identify and investigate trends in the data.

Education

Master of Science - Advanced Data Analytics

University of North Texas
Denton, TX
05.2024

Skills

  • Programming Languages: Python, R, SQL And JavaScript
  • Data Analysis and Manipulation: SQL (querying, data manipulation, optimization) Python (Pandas, NumPy, SciPy) R (tidyverse, ggplot2, dplyr) Excel (advanced functions, pivot tables, VBA) SAS or SPSS (statistical analysis)
  • Data Visualization: Power BI, Tableau, Google Data Studio, Matplotlib, Seaborn (Python) and ggplot2 (R)
  • Database and ETL Tools: SQL Server, MySQL, Oracle ETL Tools (Alteryx, Talend, Informatica) Data Warehousing (Snowflake, AWS Redshift, Google BigQuery) Data Lakes (Azure Data Lake, Amazon S3)
  • Data Quality & Transformation: Data Cleaning & Preprocessing Data Profiling & Validation Feature Engineering Data Integration & Transformation
  • Big Data Tools: Hadoop, Apache Spark PySpark Apache

Affiliations

  • Outstanding Performance Award - 2022: Recognized for consistently delivering high-quality solutions in record time, surpassing team expectations on multiple projects related to advanced data analytics.
  • Employee of the Month - February 2022: Awarded for leading the successful deployment of a Power BI dashboard that reduced reporting time by 30%, helping the organization meet its quarterly financial review targets ahead of schedule.
  • Achieved 120% of Yearly KPIs - 2021: Surpassed all annual targets for system reliability and performance monitoring as part of the Site Reliability Engineering (SRE) team, resulting in a significant improvement in overall system uptime and client satisfaction.
  • Reduced Processing Time by 40% - 2021: Spearheaded the optimization of SQL queries for accounts payable, cutting processing times by 40%, leading to faster payment cycles and increased efficiency in operations.
  • Team Lead, Power BI Support and Maintenance - 2021-Present: Led a cross-functional team of 5, responsible for ensuring 99.9% uptime and fast resolution of issues related to Power BI dashboards used by key stakeholders across the company.
  • Mentor and Trainer for Data Analytics Team - 2021: Developed and conducted training sessions on advanced
  • SQL querying and Power BI for junior team members, boosting the team's overall performance and fostering growth in technical capabilities.
  • Innovative Process Improvement Award - 2020: Recognized for implementing an automated alert system that detects anomalies in transaction data, reducing manual checks and improving detection accuracy by 25%.
  • Key Contributor in Large-Scale Data Project - 2020: Played a pivotal role in a research project on chronic diseases, leveraging advanced data visualization techniques to help identify patterns that influenced public health strategies, receiving commendation from academic advisors.

Timeline

Graduate Research Assistant (Data Analysis)

University Of North Texas
05.2023 - 05.2024

Data Analyst

Accenture
03.2019 - 11.2022

Master of Science - Advanced Data Analytics

University of North Texas

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Akash Reddy Pullagurala