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Data Analyst with less than a year in Power BI, SQL, and Machine Learning
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 with hands-on experience in real-world data analytics projects, including customer segmentation, social media trend analysis, and Power BI-based financial risk dashboards. Proficient in Python, SQL, Excel, Power BI, DAX, and Power Query with expertise in data cleaning, exploratory data analysis (EDA), data modeling, dashboard development, and KPI reporting. Skilled at converting structured data into actionable insights that support business intelligence and strategic decision-making.
Usha Rama College of Engineering and Technology
Bachelor of Technology (B.Tech) · Information Technology
N/A – June 30, 2026
Ascend International
Digital Integration Specialist – (Team Lead)
June 1, 2026 – Present
India
Aumbit
Technical Writer
June 1, 2026 – Present
India
Social Media Trend Analyzer
June 1, 2026 – Present
Developed a data analytics solution to identify trending topics and audience engagement patterns across social media platforms. Collected, cleaned, and analyzed social media datasets to uncover trends and user interaction patterns. Performed exploratory data analysis (EDA) and created visualizations to measure engagement metrics and content performance. Generated insights and recommendations using trend analysis to support data-driven decision-making. Tools Used: Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook.
Securitisation Risk Assessment Dashboard
June 1, 2026 – Present
Built Power BI dashboards for securitisation risk analysis using advanced DAX calculations. Performed portfolio risk assessment on mortgage, auto loan, and structured credit datasets. Developed IFRS 9 ECL models, stress-testing frameworks, and waterfall calculations. Created investor reporting dashboards with KPIs, risk metrics, and portfolio performance insights. Utilized Power Query, data modeling, and interactive visualizations for financial risk reporting.
Mall Customer Segmentation (K-Means Clustering)
June 1, 2026 – Present
Performed customer segmentation using clustering techniques to identify distinct user groups. Conducted exploratory data analysis to understand spending patterns, income distribution. Applied K-Means clustering to segment customers into actionable groups. Derived business insights for targeted marketing strategies. Tools Used: Python, Pandas, Matplotlib.
Introduction to Prompt Engineering
Simplilearn
June 1, 2026 – Present
Using Generative AI to Derive Insights from Data
IBM
June 1, 2026 – Present
ChatGPT for Data Analytics
Simplilearn
June 1, 2026 – Present
Data Analytics with Generative AI
Simplilearn
June 1, 2026 – Present
IBM SkillsBuild Data Analytics Certificate
IBM
June 1, 2026 – Present
The candidate achieved a perfect score (100%) on the 'Application Developer — Microsoft Analytics (Power BI)' test, indicating strong proficiency in Power BI.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project diversity, including financial risk, customer segmentation, and social media analysis, indicates a broad interest in applying data analytics across different domains. The certifications in Generative AI show a commitment to continuous learning and adapting to new technologies, which is a positive cultural indicator. The 'Team Lead' experience, although brief, suggests an ability to work in collaborative environments. However, the psychometric test score is a concern regarding overall cultural and operational fit, as it may indicate challenges in areas like teamwork or stress management.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication', and 'Documentation' as soft skills. The 'Digital Integration Specialist – (Team Lead)' role suggests experience in collaboration and optimizing workflows. The 'Technical Writer' role indicates strong communication skills, particularly in translating complex technical concepts. However, the psychometric test score (272/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which are critical for operational fit.