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Data Analyst with 4+ years in Business Intelligence & Analytics
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Data Analyst with 4+ years of experience in Business Intelligence, advanced analytics, and reporting automation across telecom and enterprise domains. Expertise in Power BI, SQL, Python, Tableau, and Excel, with strong capabilities in building scalable dashboards, optimizing ETL pipelines, and delivering actionable insights. Proven track record of improving reporting efficiency, enhancing data quality, and enabling data-driven decision-making through KPI frameworks and automation. Experienced in handling large datasets and deploying end-to-end BI solutions.
International Institute of Information Technology
Bachelor of Engineering · E&TC
N/A – June 30, 2021
Pimpri Chinchwad Polytechnic
Diploma · E&TC
N/A – June 30, 2017
Wipro
Data Analyst
June 1, 2025 – Present
India
MasterCom Technologies India Pvt Ltd
Data Analyst Associate
May 1, 2023 – May 1, 2025
India
Infosys
Data Analyst / BI Developer
November 1, 2021 – April 1, 2023
India
Enterprise Telecom Data Analysis Platform
June 1, 2026 – Present
Designed scalable ETL pipelines to process large-scale telecom operational datasets. Built automated data ingestion workflows using Azure Data Factory. Implemented data transformation and aggregation logic using SQL and Spark. Developed KPI dashboards and operational analytics reports using Power BI. Optimized data refresh and query performance for enterprise reporting systems
Healthcare Data Analytics & Patient Insights Platform
June 1, 2026 – Present
Developed healthcare analytics pipelines for patient data processing and reporting. Built PySpark-based transformation workflows for large healthcare datasets. Processed patient records, treatment data, and operational metrics using Databricks. Created Power BI dashboards for patient analytics, hospital KPIs, and treatment insights. Implemented data quality validation checks and anomaly detection processes. Improved reporting efficiency and enabled real-time healthcare analytics monitoring.
Customer Churn Prediction & Analytics System
June 1, 2026 – Present
Developed machine learning models to predict customer churn using enterprise datasets. Built data preprocessing and feature engineering workflows using Python and SQL. Implemented Logistic Regression and Random Forest models achieving high prediction accuracy. Integrated churn prediction outputs into Power BI and Tableau dashboards for business monitoring.
Retail Financial Data Warehouse & Reporting Solution
June 1, 2026 – Present
Built centralized financial reporting datasets and automated ETL workflows. Developed Azure Synapse-based reporting structures for sales and financial analytics. Created revenue trend analysis, profit margin tracking, and YoY comparison dashboards. Reduced manual reporting effort through automated pipeline scheduling. Improved business reporting accuracy and dashboard performance.
Data Analytics & Machine Learning Certification
Imarticus Learning
June 1, 2026 – Present
Power BI Data Visualization Certification
Unknown
June 1, 2026 – Present
SQL & Python for Data Engineering
Unknown
June 1, 2026 – Present
Azure Data Engineering Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked across multiple domains (telecom, healthcare, retail finance) and companies (Wipro, MasterCom, Infosys), indicating adaptability and a willingness to engage with diverse business challenges. The breadth of tools and technologies used suggests a continuous learning mindset, which aligns well with dynamic work environments. The certifications also show initiative in self-improvement.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with stakeholders and a focus on improving efficiency and accuracy, suggesting good operational fit and an understanding of business impact. The automation of workflows also points to a proactive approach to problem-solving.