Detail-Oriented Data Entry Specialist (Excel/SQL)

DEEPTHI REDDY GUTHA

Email: ***************@*****.***

Phone: 815-***-****

Location: Peoria, IL

PROFESSIONAL SUMMARY

Detail-oriented Data Entry Specialist with strong experience in data accuracy, documentation, Excel-based workflows, and large-scale dataset processing. Proven ability to maintain 95%+ data quality, streamline workflows, and manage high-volume data operations. Experienced in back-office tasks, labeling, auditing, and administrative support. Skilled in Python, Excel, and database tools—with additional project experience in analytics that enhances problem-solving and efficiency.

CORE SKILLS

• Data Entry & Data Quality Assurance

• Excel, Google Sheets, Data Cleaning

• Documentation & Record Management

• Accuracy & Attention to Detail

• Database Management (SQL, MySQL)

• Time Management & Productivity Tracking

• Python (for automation), Basic Power BI

PROFESSIONAL EXPERIENCE

Graduate Research & Tutoring Assistant

Bradley University Jan 2025 – May 2025 Peoria, IL

• Managed and organized student data, attendance records, grading logs, and academic reports.

• Streamlined documentation workflows using Excel and Python automation, reducing processing time by 30%.

• Maintained organized records for 50+ students, ensuring accuracy and confidentiality.

• Assisted faculty with data collection, formatting, and quality checks for course materials.

• Created data-driven teaching materials, assignments, and lab exercises.

• Provided one-on-one academic support and progress tracking for students.

• Built automated grading scripts to simplify repetitive evaluation tasks.

• Documented workflows and maintained proper version control using Git.

GO AI Associate

Amazon January 2023 – Dec 2023 Hyderabad, India

• Performed high-volume data entry, labeling, and validation for Amazon Go ML pipelines.

• Maintained 95%+ accuracy across thousands of data records.

• Conducted regular audits to identify gaps and correct inconsistencies.

• Supported back-office operations using internal tools and Excel-based tracking sheets.

• Documented errors and provided feedback to improve data annotation guidelines.

• Collaborated with QA teams to resolve data escalations.

• Tracked productivity metrics and maintained daily status logs.

• Trained new team members on annotation tools and quality standards.

PROJECTS

Fake Profile Detection Using Neural Networks

• Built a classification system with 89% accuracy using Python and neural networks.

• Cleaned, labeled, and preprocessed large datasets—strengthening data quality and preparation expertise.

• Containerized workflow using Docker and deployed a basic API for predictions.

• Performed extensive feature engineering to improve signal clarity from noisy inputs.

• Tuned hyperparameters and experimented with model architectures to optimize performance.

• Created visualizations and reports to present findings to academic mentors.

• Implemented cross-validation techniques to ensure robustness.

• Integrated automated model evaluation scripts for faster experimentation.

Humana Member Predictive Clustering

• Processed and analyzed 10M+ healthcare claim records for clustering and predictive insights.

• Cleaned datasets, merged records, and ensured high-quality preprocessing.

• Built Excel-integrated tools enabling clinicians to interactively classify patients.

• Applied Random Forest and XGBoost for predictive gap analysis with performance tuning.

• Validated clusters using PCA, silhouette scores, and statistical trend evaluation.

• Developed user-facing dashboards and automated reporting mechanisms.

• Conducted feature selection to improve model accuracy and computational efficiency.

• Documented project workflow, maintaining clear records for future enhancements.

Hospital Management System (Capstone Project)

• Designed SQL databases and managed patient record workflows.

• Built API-based data handling tools and developed a simple UI for data entry operations.

• Improved query performance using indexing and schema optimization.

• Created ER diagrams and normalized relational schema for efficient data storage.

• Developed automated scripts for record updates and system maintenance tasks.

• Collaborated with faculty and peers to test edge cases and validate system reliability.

• Implemented secure user authentication and role-based access to protect sensitive patient data.

• Integrated appointment scheduling, billing, and patient registration into a unified workflow.

• Conducted end-to-end testing of all modules to ensure compliance with healthcare workflow standards.

• Prepared detailed documentation, including system architecture, data flow diagrams, and user guides.

• Coordinated with clinicians and administrative staff to gather requirements and refine system features.

• Deployed the system prototype and monitored data accuracy, supporting iterative improvements.

• Built log-monitoring tools to ensure system stability and reliability.

EDUCATION

Master of Science in Data Science

Bradley University 2024 – 2025

Bachelor of Technology in Computer Science Engineering

Vignana Bharathi Engineering College 2023

CERTIFICATIONS

• Scaler Academy: Python, Machine Learning, SQL

• AWS Academy Cloud Foundations

LEADERSHIP EXPERIENCE

President – Computational Data Science Club

• Organized events, managed documentation, and maintained member data.

Treasurer – AI Club

• Managed budget sheets, financial documentation, and event records.

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