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Data Analyst with less than a year in Data Cleaning & Visualization
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Analytical and detail-oriented aspiring Data Analyst with proven experience in SQL, Python, Power BI, and Excel for data cleaning, analysis, and visualization. Skilled in designing dashboards, building predictive models, and extracting actionable insights from complex datasets. Experienced in projects spanning e-commerce sales analytics, customer churn prediction, and healthcare data, with a strong foundation in statistical methods and business problem-solving.
Sinhgad College Of Engineering
Bachelor Of Engineering · Electronics and Telecommunication
November 1, 2021 – June 1, 2025
eligarf Technologies
Data Annotation Specialist
February 1, 2026 – Present
Pune, Maharashtra, India
Road Accident Analysis
January 1, 2026 – June 30, 2026
Analyzed 195K+ accident records and built a Power BI dashboard with KPIs, DAX measures, and mapping to uncover trends across vehicle types, road types, lighting, weather, and regions. Identified YoY improvements with fatal casualties down 33%, serious injuries down 16%, and slight injuries down 10%, highlighting measurable road-safety progress. Found key risk patterns with urban areas at 61.9% of casualties, cars contributing 155K+ incidents, and single carriageways showing 145K+ casualties, informing high-risk zone prioritization.
E-Commerce Sales Analysis
January 1, 2026 – June 30, 2026
Queried 10k+ sales records with SQL, validated KPIs for accuracy, and built Excel dashboards to identify trends and anomalies. Built interactive Excel dashboards (KPI, YoY, map, profitability) enabling business users to explore sales performance. Created dashboards and BI reports aligning with reporting standards, enabling business teams to track sales KPIs.
Patient Waitlist Analysis Dashboard
January 1, 2026 – June 30, 2026
Designed a multi-page dashboard with KPIs, drill-downs, and slicers to track wait-list trends by age, specialty, and time bands. Developed interactive Power BI reports with DAX measures; collaborated with peers to present insights to non-technical healthcare stakeholders. Collaborated with peers to deliver stakeholder-friendly visuals and reports, highlighting bottlenecks in patient flow.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse interest in e-commerce, healthcare, and public safety data analysis, indicating adaptability and a broad problem-solving mindset. The collaboration mentioned in the 'Patient Waitlist Analysis Dashboard' project suggests a team-oriented approach. However, the current professional experience as a 'Data Annotation Specialist' is not directly in a data analyst role, which might indicate a gap in direct industry experience for a senior data analyst position. The candidate is still pursuing a Bachelor's degree, which might affect immediate cultural fit for a senior role requiring extensive professional experience.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with peers and present findings, which suggests good teamwork and communication skills. The 'Data Annotation Specialist' role indicates attention to detail and adherence to quality standards, which are valuable for data accuracy. However, the current role is not directly aligned with a senior Data Analyst position, which might impact operational fit for advanced analytical tasks.