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Data 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 skilled in turning raw, messy data into clear business insights using SQL, Python, and Power BI. Built end-to-end analytics projects spanning data cleaning, modeling, EDA, and dashboard development uncovering attrition drivers, revenue trends, and customer behavior patterns that translate directly into business decisions. Strong command of statistical analysis, KPI design, and visual storytelling, with a track record of presenting complex findings in simple, actionable terms for non-technical stakeholders.
Anjuman-I-Islam's Kalsekar Technical Campus, Panvel
B.E. · Computer Engineering
August 1, 2021 – June 30, 2025
HR Analytics Dashboard
June 23, 2026 – Present
Built an end-to-end Power BI dashboard analyzing employee attrition across salary, age, gender, and job role, turning raw HR data into a decision-ready reporting tool. Pinpointed Sales Executives as the highest-attrition group and low salary bands as the top retention risk - insights directly usable for retention strategy. Designed DAX-driven KPIs (Attrition Rate, Average Salary, Average Tenure) with dynamic slicers for real-time, department-level analysis across HR, R&D, and Sales. Communicated findings through bar charts, donut charts, and KPI cards for fast, non-technical decision-making.
Retail Sales Analysis
June 23, 2026 – Present
Designed and queried a relational retail sales database to uncover revenue trends across customer demographics, product categories, and time periods. Surfaced top-performing customers and high-value transactions using GROUP BY, aggregate functions, and subqueries. Applied CTEs and filtering logic to break down purchasing behavior by gender, age group, and category - highlighting growth opportunities by segment.
Data Analytics Certification
Full Stack Academy, Hyderabad
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on practical application of data analysis skills in HR and retail domains. The 'Data Analytics Certification' further indicates a proactive approach to skill development. The target role 'Data' aligns well with the candidate's stated skills and project experience. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate highlights 'Analytical Thinking', 'Attention to Detail', 'Problem Solving', 'Stakeholder Communication', and 'Fast Learner' as core strengths. These indicate a good operational fit for data-centric roles requiring meticulous analysis and effective communication. However, without specific assessment scores for these soft skills, this remains an assertion from the candidate.