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Entry-level Data Analyst with strong Power BI, SQL, and Python skills, focused on analytical reporti
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Entry-level Data Analyst with hands-on experience analyzing large public and business datasets to identify trends, patterns, and risk indicators. Strong in Power BI, SQL, Python, and Excel, with a focus on analytical reporting, trend analysis, and data-driven insights. Experienced in working with large-scale datasets across transportation, energy, and risk domains, and seeking an entry-level Data Analyst role.
Delhi University
Bachelor of Science (BSc) Honours · Computer Science
August 1, 2020 – June 30, 2023
Gautam Buddha University
Master of Computer Applications (MCA) · Data Science
N/A – June 30, 2026
Road Accident Analysis Dashboard
June 28, 2026 – Present
Analyzed 195K+ casualties and 144K+ accident records to identify high-risk locations and trends. Compared yearly accident patterns using DAX, highlighting a 33% reduction in fatalities. Evaluated accident severity by vehicle type, road condition, and lighting to support safety analysis.
Flood Risk Pattern Analysis
June 28, 2026 – Present
Analyzed historical flood data to identify seasonal and regional risk concentration. Determined that July-September accounted for ~70% of incidents, indicating strong seasonality. Identified rainfall intensity and river water levels as key risk indicators using applied ML techniques.
View ProjectElectric Vehicle Adoption & Market Analysis
June 28, 2026 – Present
Analyzed 150K+ EV registration records to assess adoption trends and market growth. Identified 9x growth in EV registrations (2015-2023), with BEVs accounting for 77.6% of vehicles. Assessed state-wise adoption and manufacturer contribution, highlighting Tesla (69K registrations).
Cultural Fit Analysis
The candidate's academic projects cover diverse domains (transportation, energy, environmental risk), indicating adaptability and a broad interest in applying data analysis to different problems. The focus on data-driven insights and analytical reporting aligns well with typical data analyst roles. The mention of GitHub portfolio suggests a proactive approach to learning and sharing work, which is a positive cultural indicator. However, without information on collaboration or specific work environments, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to communicate insights (e.g., 'highlighting a 33% reduction in fatalities', 'identifying 9x growth'). The academic projects suggest a structured approach to problem-solving and data-driven decision-making. However, without direct work experience or psychometric test results, it's difficult to assess operational fit, stress handling, or team collaboration skills.