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Data Analyst with less than a year in SQL, Python, and Power BI
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 a strong foundation in Data Analysis, SQL, Python, Excel, Power BI, and Data Visualization. Skilled in Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Data Interpretation, and Dashboard Reporting. Experienced in developing data-driven solutions through academic projects and AI/ML training. Passionate about transforming raw data into actionable insights, supporting business decision-making, and continuously expanding analytical and technical expertise.
Loudes Matha College of Science and Technology Kuttichal, Thiruvananthapuram
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
St. Mary's HSS Champakulam
HSE · Biology Science
June 1, 2020 – May 31, 2022
Banking Risk & Loan Portfolio Analysis
June 22, 2026 – Present
Analyzed banking and loan datasets using Power BI to identify customer risk patterns, loan distribution trends, and key business KPIs through interactive dashboards. Performed data cleaning, transformation, and visualization using Power Query and DAX, enabling data-driven insights for risk assessment and decision-making.
Automotive Sales Performance Dashboard
June 22, 2026 – Present
Developed an interactive Power BI dashboard to analyze sales performance, revenue, profit trends, and customer purchasing behavior across multiple regions and product categories. Utilized data modeling, DAX measures, and visual storytelling techniques to uncover actionable insights and support business performance monitoring.
Cardiovascular Disease Prediction Using Retinal Fundus Images
June 22, 2026 – Present
Processed and analyzed retinal image datasets using Python to identify patterns associated with diabetic retinopathy and cardiovascular risk, supporting predictive healthcare analytics. Applied data preprocessing, exploratory analysis, and machine learning techniques to generate risk predictions and deliver data-driven health insights through a web-based platform.
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in different domains (banking, automotive, healthcare), which suggests adaptability and a willingness to apply data analysis skills across various industries. The focus on data-driven solutions aligns well with a results-oriented culture. However, without professional experience, it's difficult to fully assess cultural fit beyond project diversity.
Soft Skills & Operational Fit
The candidate lists analytical thinking, communication, team collaboration, attention to detail, and critical thinking as soft skills. These are highly relevant for a Data Analyst role, indicating a good operational fit. However, these are self-declared and not validated by assessments or professional experience.