• Experience in Text Analytics, Data Mining, and data visualizations with R, Python, and Power Bi. • Spearheaded cross-functional projects to deliver actionable insights in both consumer and commercial analytics, contributing to the overall business strategy.• Conducted comprehensive risk assessments for data-related projects, identifying potential risks such as data quality issues, system failures, and security vulnerabilities.• Developed and maintained automated reporting processes, providing stakeholders with up-to-date insights to drive decision-making.• Led the analysis of consumer and commercial data to identify trends, customer behaviors, and market opportunities, driving data-informed decision-making.• Coordinated with stakeholders from both consumer and commercial sectors to ensure alignment on analytics initiatives and business objectives.• Developed advanced SQL queries to solve complex business problems, including optimizing multi-table joins, creating window functions, implementing analytical functions to deliver actionable insights.• Conducted in-depth statistical analysis on historical data to identify patterns and forecast future business performance.• Performed advanced excel analytics on customer data for customer churn analysis using Python• Created and supported end-to-end data management workflows from collection to validation.

• Developed end-to-end BI solutions, including data acquisition, cleaning, model development, validation, and visualization for customer intelligence. • Designed and built innovative, scalable data solutions using Databricks, Azure Data Factory, and Snowflake, enabling high-volume data processing and efficient workflows for business-critical analytics.• Developed and optimized SQL queries to track and measure key business performance indicators, enabling real-time monitoring.• Automated reporting and analysis processes using Python, SQL, and Azure DevOps, reducing manual effort and improving efficiency across teams.• Ensured data integrity and quality control by implementing rigorous unit testing, system integration testing, and validation protocols within ETL pipelines and data workflows.

• Conducted qualitative and quantitative research to gather data from data marts.• Responsible for data identification, collection, exploration & cleaning for modeling, and participated in model development.• Ensured that all data analysis processes followed rigorous data validation, quality control, and documentation standards, supporting ongoing audits and compliance.• Guided teams in understanding data analysis methodologies and how to apply them to address specific business objectives and issues.• Developed and maintained automated reporting processes, providing stakeholders with up-to-date insights to drive decision-making.• Independently identified and resolved complex data challenges, employing advanced SQL and Python scripting to transform and analyze large datasets efficiently.• Visualized, interpreted, reported findings, and developed strategic uses of data using Power Bi• Understood transactional data and developed analytics insights using Statistical models and Machine learning.• Performed data visualization via ggplot2 in R and matplotlib in Python.• Provided reports, analysis, and insightful recommendations to business leaders on key performance metrics pertaining to sales & marketing.

• Developed and optimized SSIS packages, resulting in a 20% improvement in data processing efficiency and reducing data latency issues.• Automated routine data processing tasks through SSIS workflows, reducing manual effort by 13% and streamlining the data integration process for faster and more reliable reporting.• Worked with decision-makers to understand business issues, using data to drive insights and recommend strategies for improvement.• Developed and maintained data marts and data warehouses, ensuring optimal data structure and accessibility for analysis and reporting purposes, which improved overall data retrieval times by 25%.• Optimized complex SQL queries by conducting query tuning, indexing key columns, and rewriting inefficient SQL code, reducing query execution time and improving reporting efficiency.• Created and maintained SQL queries and stored procedures to facilitate complex data analysis and reporting needs, enhancing data accuracy and accessibility for cross-functional teams.• Designed and implemented SSRS reports and dashboards, providing actionable insights into key performance indicators (KPIs), sales metrics, and customer behavior, leading to data-driven decision-making and a 15% increase in operational efficiency.• Developed root cause reports to address problems with customer conversions, successfully revealing insights into boosted conversions by 23%.• Developed parameterized dynamic performance reports (Gross Margin, Revenue base on geographic regions, Profitability based on web sales and smartphone app sales) and ran the reports every month and distributed them to the respective departments through mailing server subscriptions and SharePoint server.