Power BI Developer with less than a year in Power BI & SQL
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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
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
Portfolio Performance & ROI Dashboard
January 1, 2026 – June 1, 2026
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%.
Investor Behavior & Cohort Analytics Dashboard
January 1, 2026 – June 1, 2026
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%.
Crypto Market Trends & Investment Dashboard
January 1, 2026 – June 1, 2026
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 ProjectIntroduction to Systems Architecture
Coursera
June 1, 2026 – Present
Introduction to Python
Coding Ninjas
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are all academic and heavily focused on financial and investment analytics, which aligns well with a data-driven culture. The use of Git in some projects suggests an understanding of version control, which is positive for collaborative environments. However, the lack of diverse project types or team-based professional experience limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data into actionable insights and present findings, suggesting good analytical and communication skills. The academic projects demonstrate a structured approach to problem-solving and a focus on data-driven decision-making. However, without professional experience, operational fit in a corporate environment is unproven.