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Data Analyst with less than a year in Business Analytics & Data Visualization with Power BI & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven MCA student specializing in business analytics and data visualization. Experienced in building Power BI dashboards that analyze market trends, investor behavior, and portfolio performance across 15,000+ records. Proficient in SQL data extraction, Python for data cleaning, and translating complex datasets into actionable business insights. Seeking to leverage analytical skills to drive data-informed decision-making.
Jagan Institute of Management Studies, GGSIPU
Master of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
P.G.D.A.V. College(Evening), University of Delhi
BA · Computer Application and Economics
August 1, 2021 – June 30, 2024
Crypto Market Trends & Investment Dashboard
June 16, 2026 – Present
Analyzed 5,000+ cryptocurrency transactions to identify market trends, ROI patterns, and volatility indicators across 20+ digital assets. Built interactive Power BI dashboard with DAX measures to track 15+ KPIs including daily returns, risk-adjusted performance, and portfolio allocation. Identified top 5 high-performing assets with 35%+ ROI, enabling data-driven investment decisions and risk mitigation strategies. Created SQL queries to extract and transform raw transaction data, reducing manual reporting time by 60%.
View ProjectInvestor Behavior & Cohort Analytics Dashboard
June 16, 2026 – Present
Performed cohort analysis on 8,000+ investor records to understand user engagement patterns and identify retention drop-off points across 6-month user lifecycle. Discovered that 62% of investors churned within first 30 days, with highest drop-off occurring on day 7—recommending targeted onboarding interventions. Designed retention dashboard tracking monthly active users (MAU), conversion rates, and user lifetime value (LTV) metrics. Presented findings to academic panel, proposing 3 actionable strategies to improve 30-day retention by estimated 25%.
Portfolio Performance & ROI Dashboard
June 16, 2026 – Present
Evaluated investment portfolio performance across 12 asset classes, analyzing profit/loss, ROI, and risk exposure using 2+ years of historical data. Built multi-page Power BI dashboard with drill-through functionality to compare best/worst performing assets and track quarterly performance trends. Utilized SQL window functions to calculate rolling averages and year-over-year growth metrics, uncovering 18% underperformance in bond allocations. Provided visual insights that highlighted need for portfolio rebalancing, potentially improving overall returns by 12%.
Introduction to Python
Coding Ninjas
June 1, 2026 – Present
Introduction to Systems Architecture
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are well-aligned with the responsibilities of a Data Analyst, focusing on financial data, investor behavior, and performance tracking. The use of Power BI, SQL, and Excel are core tools for this role. The projects demonstrate a proactive approach to learning and applying analytical skills. However, the lack of diverse project types beyond financial/investor analysis and the absence of professional experience limit the breadth of cultural fit assessment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to analyze complex data, identify key insights, and propose actionable strategies. This suggests strong analytical thinking and problem-solving skills. The focus on presenting findings and making recommendations aligns with the operational needs of a Data Analyst role. However, without direct work experience, the ability to operate in a professional team environment and handle real-world project pressures is unproven.