• Spearheaded the design and deployment of over 20 interactive dashboards using Tableau and Power BI, providing real-time insights for sales, marketing, and operations teams, leading to a 15% increase in data-driven decisions across departments.• Managed a SQL-based database system (MySQL, SQL Server, PostgreSQL) with over 5 million records, optimizing querying processes that resulted in a 25% reduction in data retrieval time for key reporting purposes.• Led data wrangling initiatives… Show more • Spearheaded the design and deployment of over 20 interactive dashboards using Tableau and Power BI, providing real-time insights for sales, marketing, and operations teams, leading to a 15% increase in data-driven decisions across departments.• Managed a SQL-based database system (MySQL, SQL Server, PostgreSQL) with over 5 million records, optimizing querying processes that resulted in a 25% reduction in data retrieval time for key reporting purposes.• Led data wrangling initiatives using Python’s Pandas and NumPy libraries, processing over 2TB of raw data for a quarterly analysis, improving data quality and accuracy by 30%.• Designed and maintained a comprehensive geospatial analytics solution using PostGIS and GeoPandas, enabling location-based optimizations that enhanced route planning and reduced delivery time by 20%.• Collaborated with cross-functional teams to design cloud-based data pipelines on AWS and GCP, reducing latency by 40% in data processing tasks for real-time analytics.• Developed and maintained a data warehouse solution using AWS Glue, resulting in a 15% improvement in data accessibility for business analysts across the organization.• Applied machine learning techniques using SciKit-Learn, enabling predictive insights for customer segmentation, and improving targeted marketing campaigns by 25%.• Working on A/B testing to optimizing product features and ensuring data-backed decisions at Clairvoyant. Using statistical techniques to compare conversion rates between 2 groups.• Implemented Excel-based financial modeling that consolidated budgeting data across multiple departments, improving forecasting accuracy by 20%.• Reduced operational inefficiencies by analyzing and restructuring data collection processes, saving the company over $100,000 annually through better resource allocation.• Enhanced project timelines by automating SQL queries, reducing manual data extraction time by 50%. Show less

• Led the migration of the company’s data infrastructure from on-premise to cloud-based solutions (AWS and Azure), reducing operational costs by 30% and improving data accessibility across global teams.• Created over 15 interactive dashboards using Tableau and Power BI to monitor KPIs, resulting in a 40% increase in the visibility of business performance metrics.• Optimized SQL database performance by restructuring schemas and optimizing queries, reducing database latency by 50% and… Show more • Led the migration of the company’s data infrastructure from on-premise to cloud-based solutions (AWS and Azure), reducing operational costs by 30% and improving data accessibility across global teams.• Created over 15 interactive dashboards using Tableau and Power BI to monitor KPIs, resulting in a 40% increase in the visibility of business performance metrics.• Optimized SQL database performance by restructuring schemas and optimizing queries, reducing database latency by 50% and improving report generation times by 35%.• Applied advanced Excel techniques such as pivot tables, data analysis, and financial modeling to support budgeting and forecasting efforts across multiple business units.• Built automated ETL pipelines using GCP Data Proc and AWS Glue, ensuring seamless integration and transformation of data from various sources into a centralized data warehouse.• Conducted detailed customer behavior analysis using SQL and Python, providing actionable insights that led to a 10% increase in customer retention and satisfaction rates.• Analyzed large geospatial datasets using PostGIS, streamlining logistics operations and improving delivery network efficiency by 25%.• Implemented Python-based automation scripts to streamline data collection processes, reducing manual effort by 35% and increasing overall productivity. Show less