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Business Analyst with less than a year in data analysis, visualization, and Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am an M.Sc. Statistics student aspiring to build a career as a Business Analyst, with hands-on experience in Excel, SQL, Python and data visualization. I enjoy working with data cleaning, analyzing, and creating clear Excel charts and reports that help uncover trends and insights. Through academic and project work, I have developed a strong ability to turn raw data into meaningful information and explain findings to non-technical audiences. I am eager to contribute to data-driven decision-making while continuously learning and growing in a professional environment.
MIT-World Peace University
Master of Science · Statistics
August 1, 2024 – June 30, 2026
HPT Arts & RYK Science College
Bachelor of Science · Statistics
August 1, 2021 – June 30, 2024
INSURANCE CLAIMS DATA ANALYSIS & PROCESS OPTIMIZATION
October 1, 2025 – Present
Analyzed insurance claim data to identify trends, approval rated, and common delay factors. Created Excel-based reports and visual charts to highlight key performance insights. Cleaned, validation, and transformed data to ensure accuracy and reliability. Suggested process improvements to enhance the speed and efficiency of claim handling.
DIABETES PREDICTION AND HEALTH INSIGTHS WEB APP
September 1, 2025 – Present
Build an interactive Streamlit application for diabetes prediction using multiple machine learning models (Logistic Regression, Decision Tree, Random Forest, SVM, KNN). Implemented dynamic model comparison dashboard with accuracy visualization to evaluate algorithm performance. Enhanced user experience with real-time sliders, bar chart comparisons, and classification reports, ensuring clear communication of results to non-technical users.
COVID-19 DATA ANALYTICS
July 1, 2025 – Present
Imported, cleaned, and structured large-scale global COVID-19 datasets using SQL. Generated insights using SQL aggregations, grouping, and temporal queries for reporting. Implemented data validation checks to monitor consistency and accuracy across multiple country datasets. Performed trend and time-series analysis across multiple countries to detect patterns and anomalies.
Python for Data Science
TuteDude
June 1, 2026 – Present
Artificial Intelligence for All
Infosys
June 1, 2026 – Present
Data visualization with Power BI
Ws Cube
June 1, 2026 – Present
Data Analytics
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across diverse domains (COVID-19, Insurance Claims, Health Prediction). Their involvement in various extracurricular activities and certifications indicates a well-rounded individual with a growth mindset and willingness to engage in collaborative environments. The stated aspiration to 'continuously learning and growing in a professional environment' aligns with a culture of continuous improvement. The breadth of skills and project diversity suggest adaptability and a good fit for dynamic team settings.
Soft Skills & Operational Fit
The candidate's resume highlights management skills such as Data Storytelling, Report Writing, Requirement Understanding, Team Collaboration, Adaptability, Time Management, Critical Thinking, Problem Solving, and Presentation. These indicate a strong foundation for operational fit in a Business Analyst role, emphasizing communication and problem-solving crucial for stakeholder interaction and project delivery. Extracurricular involvement also suggests good interpersonal and teamwork abilities.