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Data Analyst with 4+ years in ETL, Business Intelligence & Data Analytics
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Results-driven Data Analyst with 4+ years of experience in ETL pipeline development, healthcare reporting, business intelligence, and analytics. Skilled in data extraction, transformation, cleansing, validation, and integration to ensure accurate and timely reporting. Proficient in SQL, Excel, VBA, Power BI, and Tableau for dashboard development, KPI reporting, customer analytics, campaign analysis, and revenue reporting. Strong expertise in data quality, trend analysis, forecasting, automation, and process optimization to support data-driven decision-making and business growth.
S G Patil College
Bachelor of Arts
N/A – Present
L. K. Phatak Institute of Management
Master of Computer Management
N/A – Present
New English School
Secondary School Certificate
N/A – Present
Indus Health Plus Pvt Ltd
Data Analyst
February 1, 2024 – Present
Pune, Maharashtra, India
SG Analytics
ESG Data Analyst
February 1, 2023 – February 1, 2024
Pune, Maharashtra, India
Infedis Infotech LLP
Data Analyst
February 1, 2022 – February 1, 2023
Pune, Maharashtra, India
Customer Retention & Renewal Prediction
June 22, 2026 – Present
• Developed predictive models using historical booking, demographic, and engagement data to identify customers likely to renew annual health checkup plans. • Analyzed retention KPIs including repeat booking rate, churn rate, renewal rate, and customer lifetime trends; built Power BI/Tableau dashboards for segmentation and retention tracking. • Utilized SQL for data extraction, cleansing, and trend analysis, delivering data-driven recommendations that improved renewal campaign performance and reduced customer churn.
Preventive Health Risk Trend Analysis
June 22, 2026 – Present
• Performed exploratory data analysis on anonymized health screening data to identify disease risk patterns and trends by demographic segments. • Developed interactive Power BI/Tableau dashboards for health risk visualization, KPI tracking, and executive reporting to support preventive healthcare planning. • Utilized SQL and Excel for data extraction, cleansing, transformation, forecasting, and reporting automation, delivering insights for targeted healthcare campaigns and population health management.
Cultural Fit Analysis
The candidate's project diversity (healthcare, customer retention, ESG) and consistent data analyst roles suggest adaptability and a broad interest in applying data skills across different business contexts. This indicates a good cultural fit for organizations valuing versatile data professionals. The experience in collaborating with cross-functional teams further supports a team-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as cross-functional collaboration, problem-solving, and attention to detail, as evidenced by project descriptions and professional experience. Their operational fit is good, with a clear focus on process improvement and automation, which aligns well with typical data analyst responsibilities.