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Data Analyst with less than a year in SQL, Python, Power BI, and Tableau
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 Data Analyst with expertise in SQL, Python, Power BI, and Tableau for extracting actionable insights from complex datasets. Demonstrated ability to develop measurement frameworks, conduct statistical analysis, and translate business requirements into scalable analytical solutions. Proven track record of collaborating with cross-functional teams and presenting data-driven insights to stakeholders.
MIT-WPU, Pune
Master of Computer Applications
August 1, 2023 – June 30, 2025
Zetheta Algorithms Private Limited
Research Analyst
January 1, 2026 – June 1, 2026
India
Real Estate Unsold Inventory Tracker
January 1, 2026 – June 1, 2026
Developed an inventory intelligence dashboard tracking 1000+ unsold units across 50 projects and 10 major developers, integrating multi-source RERA and market data to flag cash-flow stress risks 2-3 quarters early enabling proactive intervention on 20% of at-risk inventory. Consolidated data from 2+ disparate sources into a single Power BI report, reducing stakeholder research time by 35% and improving developer risk visibility with automated monthly refresh.
Intraday Pattern Recognition Analysis
January 1, 2026 – June 1, 2026
Built an intraday trading analytics simulation processing minute-level OHLCV data across 5+ global indices, identifying candlestick patterns, opening range breakouts, and support-resistance levels surfacing 15 high-probability setups per session with a backtested signal accuracy of 68%. Reduced manual pattern-scanning time by 60% by automating detection logic in Python, enabling faster setup identification and cutting analysis time per index from 45 minutes to under 20 minutes.
Master's in Data Analytics with Generative AI
TopMentor
June 1, 2026 – Present
Google Analytics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and problem-solving skills, tackling real-world business problems like intraday trading analysis and real estate inventory tracking. The experience as a Research Analyst, even for a short duration, shows exposure to data-driven decision-making in a professional setting. The pursuit of a Master's degree and certifications indicates a commitment to continuous learning and skill development, which are positive indicators for cultural fit in a dynamic analytical environment.
Soft Skills & Operational Fit
The candidate's resume highlights 'Strong Stakeholder Management', 'People Management', and 'Excellent Communication' as soft skills. The project descriptions indicate an ability to translate business requirements into analytical solutions and present data-driven insights, which aligns well with operational fit for a Data Analyst role requiring collaboration and clear communication of findings.