• Developed Power BI dashboards to analyze customer behavior, uncovering a previously unidentified high-value online grocery segment. Insights from these dashboards led to a targeted marketing campaign that boosted online grocery sales by 30%. • Optimized Snowflake data models and created Power BI datasets to streamline query performance, reducing report refresh times and enhancing user experience by 50%. • Created Power BI dataflows to automate ETL processes, integrating data from Azure Data Factory into Power BI for real-time analytics and reducing manual effort by 40%. • Built and maintained over 50+ Power BI datasets and measures using DAX, improving data transformation processes and delivering actionable insights. • Integrated Power BI with Azure SQL Databases and Synapse Analytics to deliver advanced analytics, enabling cross-functional teams to leverage predictive modeling and business intelligence tools effectively. • Developed SSIS ETL pipelines, ensuring clean and accurate data for Power BI dashboards and data marts, supporting executive decision-making. • Utilized Power BI’s advanced query editor and optimized SQL queries to handle datasets exceeding 1 million records, enabling in-depth business analysis and streamlined data visualization.

*Extracted and preprocessed nearly 2 TB of data from diverse sources (databases, APIs) using Python. This rigorous data cleaning process, including outlier detectionand removal (15%), resulted in a 10% improvement in predictive model accuracy.*Leveraged data-driven strategies to streamline the recruitment process, achieving a 15% reduction in time-to-fill positions and enhancing candidate selection efficiency.*Implemented data validation and error handling mechanisms within Talend pipelines, ensuring data quality and consistency throughout the HR analytics process,leading to more reliable and actionable insights.*Performed Data Cleaning, Data Screening, Data Exploration, Data visualization, Feature Selection and Engineering using Python libraries such as Pandas, NumPy,Scikit-learn (Random Forests), and Matplotlib.*Applied machine learning techniques using scikit-learn to build predictive models, identify patterns and extract insights from complex datasets.*Increased data-driven decision-making by 25% using Looker's powerful visualization and analytics capabilities.*Designed and implemented SSIS packages to automate data extraction, transformation, and loading (ETL) processes for data warehouses, resulting in a reduction inmanual effort and a 20% improvement in data processing speed.*Accomplished interactive Power BI reports leveraging advanced DAX and Power Query modeling techniques to unlock deeper data insights and facilitate informeddecision-making.*Operated Azure Databricks to perform advanced data analysis and machine learning tasks on large datasets, improving data-driven decision-making by 25%.

*Crafted interactive Power BI and Tableau dashboards that mapped customer journeys, pinpointing key touch points and gauging customer preferences throughout theirlifecycle. These data visualizations unlocked actionable insights, improving customer engagement, experience, and satisfaction.*Created multiple informative visualizations (histograms, scatter plots, boxplots) using Matplotlib and Seaborn to communicate complex data insights to stakeholders,leading to a 30% improvement in decision-making efficiency.*Utilized Azure Data Factory to automate data ingestion and transformation processes, reducing manual effort by 50% and ensuring data consistency.*Extracted and cleaned terabytes of data from relational databases (MySQL) and cloud data warehouses (Snowflake) to prepare for analysis, ensuring data accuracy andreducing analysis time by 20%.*Built data cleaning routines using scripting languages (Python, SQL) to automate the cleaning process for large datasets, improving data analysis efficiency by 20%*Improved data quality of supplier delivery schedules by data cleaning techniques, leading to more accurate forecasts and reduced delays in product deliveries.*Collaborated with marketing to design and execute A/B tests, measuring the impact of marketing campaigns on ROI.