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Data Science with less than a year in Python, SQL, and Business Intelligence.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst and Business Analyst with strong skills in Python, SQL, Data Analysis, and Business Intelligence. Skilled in data cleaning, reporting, visualization, and deriving actionable insights from data. Proficient in Power BI, Tableau, and database management, with strong analytical and problem-solving abilities. Eager to leverage data-driven decision-making to support business growth and operational excellence
Gitam Institute of Technology and Management
MSc · Data Science
August 1, 2024 – April 1, 2026
GVP College for Degree and P.G Courses(A)
BCA · Data Science
December 1, 2021 – May 1, 2024
Unified Mentor Pvt Ltd
Data Science Intern
June 1, 2026 – Present
India
AI-Based Fraud Detection System for Financial Transactions
June 21, 2026 – Present
Developed a fraud detection application using Python, SQL, and Machine Learning to identify fraudulent financial transactions. Performed data preprocessing, feature engineering, and dataset balancing to improve model performance. Built and evaluated XGBoost models for accurate fraud prediction and analysis. Developed an interactive Streamlit dashboard for real-time prediction and reporting.
AWS Data Analytics - Training
AWS
June 1, 2026 – Present
AWS Academy Machine Learning – Foundations
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project on fraud detection and internship experience align with data science roles. The pursuit of multiple degrees and certifications indicates a drive for continuous learning. However, the overall breadth of projects and diverse team experiences are limited, which might impact cultural fit in a dynamic, senior-level environment requiring extensive cross-functional collaboration and leadership.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in Agile teams and application of analytical and problem-solving skills, suggesting a foundational understanding of operational workflows and teamwork. However, without specific examples or further assessment, the depth of these soft skills and their operational fit for a senior role cannot be fully determined.