Data Analyst with 1+ years in Data Analytics & Cloud Platforms
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Data Analyst with experience in building end-to-end customer analytics pipelines, developing customer health scoring models, and segmenting high-risk users. Proficient in SQL and Python for data analysis, with hands-on experience in BigQuery, Power BI, and Google Cloud for dashboard development and real-time product analytics. Demonstrated ability to translate data insights into actionable recommendations to improve product performance and business decision-making.
Dr. D. Y. Patil College of Pharmacy, Pune
Master of Pharmacy (M.Pharm) · Pharmaceutics
August 1, 2022 – June 30, 2024
D. S. T. S. Mandal's College of Pharmacy, Solapur
Bachelor of Pharmacy (B.Pharm)
August 1, 2018 – June 30, 2022
Borm Bruckmeier Infotech
Medical Editor
October 1, 2024 – Present
Pune, Maharashtra, India
AI Customer Retention Intelligence
January 1, 2023 – December 31, 2024
Built an end-to-end customer analytics pipeline processing 5K+ users to identify churn drivers, revenue leakage points, and improve retention visibility. Developed a customer health scoring model combining usage behavior, sentiment, and tenure to predict churn risk and estimate potential revenue (MRR) impact. Segmented 500+ high-risk users using behavioral patterns and cohort analysis, enabling targeted retention strategies with 15% potential churn reduction. Created interactive Power BI dashboards tracking key business KPIs (MRR, churn rate, retention actions), improving decision-making efficiency by 30%+. Simulated real-time product analytics workflows using Python-based data generation and pipeline automation.
View ProjectClinical Operations Analysis
January 1, 2023 – December 31, 2024
Performed large-scale EDA on ICU operational data (600K+ records) to analyze patterns in patient stay duration, resource utilization, and outcomes. Generated data-driven insights on operational efficiency and utilization trends to support healthcare decision-making.
Pizza Sales Analysis
January 1, 2023 – December 31, 2024
Wrote SQL queries (joins, aggregations) to analyze sales performance, identify key revenue drivers, and uncover growth opportunities (30%). Analyzed seasonal trends, customer demand patterns, and peak sales periods to support business decision-making. Optimized query logic and handled structured datasets for efficient reporting and analysis.
NASSCOM Certificate in AI Data Scientist
NASSCOM
January 1, 2026 – January 1, 2026
Google Data Analytics Certificate
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer retention to clinical operations and sales analysis, indicates adaptability and a broad interest in applying data analysis across different domains. The current role as a Medical Editor, while not directly a Data Analyst role, involves significant data cleaning and SQL usage, showing a practical application of data skills. The educational background in Pharmacy, combined with data analytics certifications, suggests a unique perspective and a drive to transition into data roles. The personal projects are well-aligned with a Data Analyst role, demonstrating initiative and self-learning.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through project work (e.g., identifying churn drivers, optimizing query logic). Collaboration with product and engineering teams is mentioned, indicating an ability to work in cross-functional environments. The experience in translating data insights into actionable recommendations suggests good business understanding and communication of technical findings.