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Data Analyst with 2+ years in SQL, Python, and Power BI, specializing in credit risk analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 2.5 years of experience in SQL, Python, and Power BI. Skilled in data cleaning, EDA, dashboard development, and predictive analytics. Experienced in Banking & Financial Services (BFSI), specializing in credit risk analysis, loan portfolio analysis, and data-driven decision-making.
KLS Gogte Institute of Technology
Master of Computer Application (MCA)
August 1, 2022 – June 30, 2023
Akxa Tech Pvt Ltd.
Data Analyst
January 1, 2024 – Present
Belgaum, Karnataka, India
Professional Certificate in Data Science and Data Analytics
Cyber Success training institute, Pune
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in both financial services (credit risk) and manufacturing (production/energy analysis) demonstrates versatility and adaptability to different industry contexts. The listed skills are directly aligned with a Data Analyst role, indicating a clear career path and focus. The breadth of tools and techniques (SQL, Python, Power BI, various ML libraries) suggests a willingness to learn and apply diverse solutions. However, the lack of project diversity outside of professional experience makes it harder to fully assess independent initiative or broader interests.
Soft Skills & Operational Fit
The candidate's resume highlights practical application of analytical skills to solve business problems (e.g., credit risk, production efficiency). This suggests a results-oriented approach and an ability to translate data into actionable insights. The focus on interactive dashboards implies an understanding of stakeholder needs for clear data visualization. However, without psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration.