Hemang Bhavasar

citi·Full-time

Developed 70+ scalable dashboards for Financial Analytics, processing high volumes of real-time data to drive strategic insights. Reduced Tableau licensing expenses by 30% through optimized usage models, saving operational costs. Achieved a 97.3% incident-free performance score by conducting quick and accurate root cause analysis. Built 4 custom applications for auditing, increasing the team’s project delivery rate by 31%. Boosted customer satisfaction by 28% and reduced manual analytical work by 37% by automating data scraping, wrangling, and loading processes for internal applications. Engineered 36+ ETL jobs to transfer data between Postgres and Oracle databases, and further processed it into Azure SQL clusters using Alteryx and Tableau Prep. Developed a GUI tool for Tableau documentation, leading to a 62% reduction in document generation time. Developed a Random Forest-based customer attrition model, which identified at-risk customers and provided them with tailored product features, resulting in a 12 basis point increase in monthly retention. Contributed to the design and setup of Tableau ecosystems for the management and sales teams, enabling comprehensive market analysis and more informed decision-making.

credit suisse·Full-time

Gathered requirements from stakeholders and business analysts to develop tailored dashboards using Tableau and integrate real-time data features. Standardized workflows, resulting in a $50B increase in annual cash equities trade and a 2% reduction in operational expenses through optimized reporting. Led a high-performing BI team, driving an 18% YOY performance improvement through data-driven insights using Python and Tableau. Enhanced decision-making with optimized dashboards and reporting frameworks. Developed a Python application that reduced data download time in Tableau from 2+ hours to under 30 minutes, improving efficiency across multiple projects and resolving similar challenges for other departments. Identified key data patterns through collaboration with stakeholders, using Tableau and Python to improve process efficiency by 25% and boost the accuracy of business planning. Managed a portfolio of 80+ analytics products and led the end-to-end Data Visualization Agile SDLC from requirements gathering to production deployment for the eData team. Delivered scalable solutions for a $10.2Bn Global Investment Bank, optimizing workflows and improving reporting accuracy. Facilitated the development of the Asset Quality Monitor for the Prime Finance Trading Desk, contributing to a 20% growth in Assets Under Management (AUM) by improving data visibility and decision-making. Led a dashboards optimization initiative, achieving a 55% improvement in rendering time which was well received by end users. Developed a Python-based Tableau reporting API, automating processes and saving the equivalent of two full-time headcounts annually. Collaborated with cross-functional teams to design and deploy 16 scalable analytics products using Tableau and Python, ensuring data integration and real-time insights. Implemented data governance solutions with Tableau and Python, reducing operational failures by 30% through improved data monitoring and compliance checks.

saama technologies·Full-time

Identified immediate and long-term issues and proposed solutions, increasing sales engineering efficiency and driving a 4.4% increase in sales. Conducted in-depth analysis, revealing the absence of an operations function as a key area for improvement. Implemented performance optimizations that reduced report refresh time by 39%, saving 12-13 minutes per cycle. Accelerated Tableau migration lifecycle by an average of 32 days, improving working capital by 7% in Q4 FY13.

mastek ltd·Full-time

Developed a predictive sales model that increased EMEA sales revenue by 12.7% by analyzing customer purchase history and identifying new sales opportunities, contributing to 27.4% of total business revenue. Led a team of 3 data scientists and 2 analysts to optimize the ordering process through 5 different models, resulting in a 9% increase in order output by delivering actionable insights and strategic recommendations.

capgemini india·Full-time

Developed a predictive sales model that increased EMEA sales revenue by 12.7% by analyzing customer purchase history and identifying new sales opportunities, contributing to 27.4% of total business revenue. Led a team of 3 data scientists and 2 analysts to optimize the ordering process through 5 different models, resulting in a 9% increase in order output by delivering actionable insights and strategic recommendations.

altimetrik·Full-time

Identified immediate and long-term issues and proposed solutions, increasing sales engineering efficiency and driving a 4.4% increase in sales. Conducted in-depth analysis, revealing the absence of an operations function as a key area for improvement. Implemented performance optimizations that reduced report refresh time by 39%, saving 12-13 minutes per cycle. Accelerated Tableau migration lifecycle by an average of 32 days, improving working capital by 7% in Q4 FY13.