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Data Analyst with less than a year in Property Tax & Demand Collection Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst specializing in property tax and demand collection analytics, with hands-on experience at Sthapatya Consultants (India) Pvt. Ltd. Skilled in data processing, tax revenue forecasting, financial analysis, and data visualization. Proficient in SQL, Excel, and Power BI to optimize tax collection efficiency, generate actionable insights, and enhance compliance strategies. Experienced in handling large-scale datasets (10+ lakh records) and 314+ Crore revenue systems. Passionate about leveraging data to drive data-driven decision-making.
VIDYA BHARTI MAHAVIDYALYA
Master Of Computer Application
August 1, 2023 – June 30, 2025
SHRI BRIJLAL BIYANI SCIENCE COLLEGE
Bachelor of Computer Science · Computer Science
August 1, 2018 – June 30, 2021
HVPM'S RAMKRISHNA JR. COLLEGE
HSC
June 1, 2016 – May 31, 2018
SHRI SAIBABA VIDYALYA
SSC
June 1, 2014 – May 31, 2016
Sthapatya (India) Consultant Pvt. Ltd.
Data Analyst
January 1, 2026 – Present
India
Cultural Fit Analysis
The candidate's experience with a consulting firm and involvement in municipal e-governance projects suggests an ability to work in structured environments with significant public impact. The diversity of dashboards developed (collection analytics, daily monitoring, survey & data quality, department & operations, business & finance) indicates adaptability and a broad understanding of different business needs. The role aligns well with a data-driven culture focused on actionable insights and operational efficiency.
Soft Skills & Operational Fit
The candidate's experience highlights strong analytical and problem-solving skills, particularly in identifying low-performing zones and recovery opportunities. The ability to reduce manual reporting effort through automation indicates an efficiency-driven mindset. The focus on real-time decision-making and improved transparency suggests a proactive and responsible approach to data analysis.