Rujuta Mirajkar

Enhanced Operational Efficiency: Led data extraction and trend visualization initiatives using Azure Data Studio and Tableau, streamlining reporting processes and improving team productivity. Optimized SQL Query Performance: Improved the speed and efficiency of SQL queries on large datasets, supporting faster reporting cycles and reducing compliance-related costs. Drove Data-Driven Engagement: Designed and developed interactive Tableau dashboards to enhance stakeholder engagement and enable more targeted, impact-focused interventions.

Enhanced Data Organization: Improved the management and structuring of large datasets using SQL, Excel, Tableau, and RStudio, leading to faster and more efficient reporting processes. Automated Data Analysis and Reporting: Designed and implemented automation solutions for trend analysis and reporting, significantly reducing manual effort and enabling data-driven decision-making. Developed Predictive Models: Built machine learning models to support real-time fraud detection and risk mitigation, improving overall data integrity and operational security. Strengthened Financial and Operational Insights: Conducted deep-dive analysis on sales and transaction data to uncover patterns, optimize performance, and support strategic initiatives.

ETL Development and Optimization: Designed and optimized ETL pipelines using Python and SQL to enhance data quality, minimize errors, and streamline data workflows. Predictive Modeling for Operational Efficiency: Led initiatives to apply predictive analytics in telecom operations, significantly reducing downtime and improving system reliability. SQL Automation and Reporting Optimization: Automated complex SQL-based reporting processes, improving reporting efficiency, data consistency, and reducing manual workload. Data Visualization for Business Insights: Built advanced data visualizations to align customer behavior with key performance metrics, supporting more targeted and effective marketing strategies. Delivered Marketing Analytics: Developed customer insights and KPI-aligned visualizations using Seaborn, enabling more targeted marketing strategies and improving reporting efficiency. Database Performance Improvement: Optimized system performance on Oracle databases, improving transaction processing speeds and enhancing overall operational throughput. Experimentation and A/B Testing: Applied A/B testing frameworks to validate new feature rollouts, accelerating decision-making processes and improving customer engagement and retention.

Relevant Coursework: Applied Machine Learning, Database Management, Cloud Management, Business Analytics, Data Analysis and Decision Making, Big Data Analytics, Financial Analytics, Information Visualization, Visual Analytic Dashboard (Tableau) Relevant Projects: Bitcoin Trend Analysis | Spark and Machine Learning Algorithms IBM Attrition Analysis | Tableau Formula One Championship Data Analysis | Amazon S3, EC2, Snowflake, PowerBI Breast Cancer Prediction | Python and Machine Learning Algorithms

Relevant Coursework: Data Structures and Algorithms, Object Oriented Programming, Database Management Systems, Business Intelligence, Operating Systems