AMULYA KONDURU
Edison,NJ
Summary
Detail-oriented Data Analyst skilled in data analytics, engineering, and statistical modeling. Leverages Python, SQL, and machine learning to convert complex datasets into actionable insights. Focused on enhancing data quality and driving evidence-based decision-making to advance public health initiatives and improve health equity.
Overview
4
4
years of professional experience
Work History
Graduate Assistant
Monmouth University
Long Branch, New Jersey
01.2025 - 05.2025
- Assisted faculty with research projects and academic initiatives.
- Collaborated with faculty on research tasks to improve project outcomes.
- Collaborated with faculty on data analysis and report preparation for research-related projects.
- Assisted faculty with academic writing tasks and provided research project support.
- Conducted literature reviews to support ongoing research initiatives and projects.
- Conducted literature reviews to support ongoing research efforts.
- Analyzed data for research projects, delivering actionable insights for faculty. to assist professors with various projects.
- Created and maintained databases for tracking student records, grades, attendance.
- Created databases for efficient tracking of student records, grades, and attendance.
- Coordinated logistics for departmental events to ensure seamless execution.
- Maintained reports on ticket sales and event statistics, providing analysis for future events.
- Responded promptly to inquiries from students regarding course content or requirements.
Quality Assurance Analyst
Unifyia
Big Indian, New York
03.2021 - 07.2023
- Analyzed business requirements to develop targeted test plans, ensuring alignment with quality assurance standards.
- Developed comprehensive test cases from technical specifications and customer requests to validate software functionality.
- Worked with developers to identify and resolve software defects.
- Reported issues promptly with accurate descriptions and reproducible steps.
- Collaborated with cross-functional teams to enhance product quality and streamline testing.
- Supported QA team in identifying and implementing process improvements to enhance testing efficiency.
- Attended daily scrum meetings to discuss project progress and challenges.
- Developed corrective and preventive action plans to address non-compliance.
Education
Master of Science - COMPUTERS AND INFORMATION SCIENCE
Monmouth University
West Long Branch, NJ05-2025
Skills
- Programming languages: Python, SQL, Shell scripting
- Data analysis: Pandas, NumPy, Scikit-learn
- Machine learning: NLP, regression models, classification
- Data visualization: Power BI, Tableau, Matplotlib
- Data engineering: ETL pipelines, data modeling
- Databases: PostgreSQL, MySQL
- Tools: Jupyter Notebook, Git, Docker
- Cloud services: AWS (EC2, S3)
- Statistical analysis and reporting
- Stakeholder communication
ADDITIONAL SKILLS AND STRENGHTS
- Strong written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Experience working collaboratively in team-based environments.
- Detail-oriented with a strong commitment to data accuracy, integrity, and ethical data use.
- Adaptable and eager to learn new tools, technologies, and AI-driven analytics methods.
PROJECTS
Public Data Analysis & Visualization
- Conducted exploratory data analysis (EDA) on large demographic and public datasets.
- Designed visual dashboards to summarize trends, disparities, and performance metrics.
- Translated complex analytical findings into clear summaries and recommendations.
- Built supervised learning models for prediction and classification problems.
- Evaluated model performance using statistical metrics and validation techniques.
- Applied feature engineering and data preprocessing to improve model accuracy.
- Developed a brain tumor detection system using deep learning neural networks to classify medical imaging data.
- Collected and analyzed X-ray / medical imaging data from hospitals, followed by data cleaning, preprocessing, and normalization to improve model performance.
- Applied image preprocessing and feature extraction techniques to enhance image quality and accuracy.
- Trained and evaluated deep learning models to detect the presence of brain tumors and assess prediction accuracy.
- Documented results and validated model performance using appropriate evaluation metrics.
Timeline
Graduate Assistant
Monmouth University
01.2025 - 05.2025
Quality Assurance Analyst
Unifyia
03.2021 - 07.2023
Master of Science - COMPUTERS AND INFORMATION SCIENCE
Monmouth University