Summary
Overview
Work History
Education
Skills
Projects
Tools And Technologies
Timeline
Generic

Rishika Peddapally

Denton,TX

Summary

Career Object

Overview

3
3
years of professional experience

Work History

Associate Data Analyst

12.2020 - 08.2023
  • Coordinated with enterprise clients and internal teams to gather required data from legacy systems, ensuring completeness and accuracy for migration and reporting purposes.
  • Manipulated Excel and CSV data files to produce meaningful reports and actionable information using advanced Excel, Power BI, and Tableau.
  • Performed thorough data quality reviews to verify all required data submissions were valid, identifying and resolving data discrepancies appropriately.
  • Created scripts, templates, and automated tools using Python (Pandas, NumPy) to streamline data conversion and migration processes, reducing manual effort.
  • Communicated effectively with clients regarding deadlines for data delivery to meet strict project conversion schedules and maintain alignment.
  • Collaborated closely with internal and external customers to identify requirements, manage multiple concurrent data migration projects, and ensure timely delivery of migration milestones.
  • Developed and maintained quality relationships and ongoing communication with client teams to facilitate data review and implementation meetings.
  • Assisted the data migration team by analyzing, reformatting, and validating received data during peak periods to support timely completion of data migrations.
  • Created and maintained comprehensive technical documentation, checklists, and standard operating procedures for both new and existing data migration solutions.
  • Participated in testing defect and bug fixes alongside development teams to ensure data accuracy and system reliability.
  • Trained and supported teammates to ensure understanding of processes, tools, and best practices essential for successful data migration and analysis projects.
  • Demonstrated strong organizational and time-management skills to handle multiple projects simultaneously in a fast-paced, results-driven environment.
  • Tools & Technologies used: SQL: MySQL, PostgreSQL, Microsoft SQL Server — Extracting, filtering, and manipulating data for reporting and migration tasks.
  • Data Visualization: Power BI, Tableau — Building dashboards and reports to provide stakeholders with actionable insights.
  • Data Analysis & Cleaning: Python (Pandas, NumPy, Matplotlib, Seaborn) — Automating data transformation and quality checks.
  • Reporting & Documentation: Advanced Microsoft Excel, Word, PowerPoint — For report creation, client communication, and maintaining technical documentation.
  • BI Concepts: Basic knowledge of SAP BusinessObjects — Supporting enterprise-level reporting.
  • Notebooks: Jupyter — For exploratory data analysis and prototyping data workflows.
  • Version Control: Git, GitHub — Managing script versions and collaboration.
  • Communication & Collaboration: Experienced in client coordination, requirement gathering, and cross-functional teamwork to meet project deliverables.

Education

Masters - Data Engineering, Machine Learning

05.2025

Skills

  • Data analysis
  • Machine learning
  • Data visualization
  • Project management
  • SQL querying
  • Python programming

Projects

Distributed Big Data Processing for E-Commerce, Built a distributed data processing system for large-scale e-commerce analytics., Ingested and preprocessed retail data in HDFS/cloud, enabling parallel processing., Performed EDA and applied KMeans clustering with Spark MLlib to uncover transaction patterns., Deployed Spark in a cloud-based cluster, optimizing performance and resource use., Demonstrated Spark’s scalability and efficiency in real-world big data scenarios., Machine Learning, Microsoft Excel, Python (Pandas, NumPy, Matplotlib, Scikit-learn), SQL (MySQL, PostgreSQL), Tableau, Power BI, Jupyter Notebooks, AWS (S3 for data storage)

Tools And Technologies

MySQL, PostgreSQL, Microsoft SQL Server, Power BI, Tableau, Python (Pandas, NumPy, Matplotlib, Seaborn), Advanced Microsoft Excel, Word, PowerPoint, Basic knowledge of SAP BusinessObjects, Jupyter, Git, GitHub, Experienced in client coordination, requirement gathering, and cross-functional teamwork to meet project deliverables.

Timeline

Associate Data Analyst

12.2020 - 08.2023

Masters - Data Engineering, Machine Learning

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Rishika Peddapally