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Data with less than a year in Data Analysis & Visualization
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Assessing your cultural and operational fit
Data Analyst with a strong foundation in data analysis and experience in the US healthcare domain working with EDI data. Skilled in SQL, Python, Excel, Power BI, and Tableau, with hands-on experience in data cleaning, exploratory data analysis (EDA), reporting, and dashboard development. Proven ability to analyze structured data (X12, XML, CSV) and deliver data-driven insights to support business decision-making.
Pandit Deendayal Upadhyaya Shekhawati University, Rajasthan
Bachelor of Science · Mathematics
August 1, 2020 – July 1, 2024
A3 Logics
EDI Analyst
August 1, 2025 – Present
Jaipur, Rajasthan, India
AI Variant
Data Analyst Intern
March 1, 2024 – August 1, 2024
Bengaluru, Karnataka, India
Healthcare Analytics
June 23, 2026 – Present
• Analyzed patient datasets to identify treatment trends and hospital resource utilization • Applied predictive analytics to assess patient risk factors • Developed interactive dashboards using Power BI/Tableau
Bank Analytics
June 23, 2026 – Present
• Performed customer segmentation and trend analysis using SQL • Built predictive models for churn and loan default analysis • Designed dashboards for transaction insights and fraud detection
Air Quality (CO2 Emission) Forecasting
June 23, 2026 – Present
• Built predictive models using Python for emission forecasting • Conducted data preprocessing and trend analysis • Visualized insights using Python libraries
Bankruptcy Prevention
June 23, 2026 – Present
• Developed predictive models using Logistic Regression and Decision Trees • Processed financial datasets using Pandas and Scikit-learn • Deployed model using Streamlit for real-time predictions
Data Science Certification
ExcelR Institute
January 1, 2025 – Present
Data Analyst Certification
ExcelR Institute
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity (healthcare, banking, environmental forecasting) and exposure to different data analysis techniques suggest adaptability and a broad interest in data applications. The current EDI Analyst role and previous internship indicate a willingness to engage in structured data environments and contribute to data quality. The certifications in Data Analyst and Data Science further demonstrate a proactive approach to skill development. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with cross-functional teams and a focus on improving data reliability and process efficiency, suggesting a foundational understanding of operational fit. However, without specific psychometric test results, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be made.