Kevin Pansuriya

About

With a Master's degree in Data Science from Saint Peter's University and a Bachelor's in Information Technology from Gujarat Technological University, I have honed my skills in data analysis and predictive modeling. Currently, as a Data Analyst at Melee Diamond INC, I leverage Python and SQL to develop predictive models that enhance customer retention and optimize inventory management. My efforts have led to a 20% increase in customer engagement and a 10% reduction in excess inventory. Previously, as a Senior Product Data Analyst at CEREBULB, I spearheaded data-driven initiatives that improved marketing effectiveness and product adoption by 20%. I excel in creating interactive dashboards with Power BI and Tableau, automating data processes, and collaborating with cross-functional teams to drive strategic decision-making. My expertise in data visualization and real-time data management has consistently contributed to improved operational efficiency and revenue growth.

Experience

• Data Analyst · Melee Diamond INC01-01-2023

  Analyzed customer and sales data to identify trends, optimize inventory management, and improve sales forecasting, resulting in a 20% increase in customer engagement. Developed predictive models using Python and SQL to forecast purchasing behavior and enable personalized marketing strategies, improving customer retention by 15%. Created and maintained interactive dashboards in Power BI and Tableau to visualize sales metrics and monitor KPIs, leading to optimized product strategies and increased revenue. Collaborated with cross-functional teams to analyze data on stock levels and sales velocity, implementing data-driven changes that reduced excess inventory by 10%. Led A/B testing initiatives for digital marketing campaigns, achieving a 10% increase in conversion rates and improved ROI. Utilized VBA to automate data extraction and reporting processes in Excel, reducing manual reporting time by 25%, improving overall decision-making efficiency.

• Senior Product Data Analyst · CEREBULB05-01-2019 – 07-01-2021

  Led advanced analysis of customer, product, and manufacturing data, providing actionable insights that improved marketing effectiveness and customer retention by 20%. Developed and implemented predictive models to forecast customer behavior, product adoption, and operational efficiency. Designed and maintained complex Tableau dashboards to monitor product features and KPIs, driving a 20% improvement in product adoption. Automated and optimized data extraction and reporting processes, enhancing decision-making speed and reducing manual workload by 35%. Utilized advanced Python libraries (Matplotlib, Seaborn, Plotly) to create insightful data visualizations for key stakeholders. Managed real-time data pipelines using Apache Kafka to optimize production schedules and reduce downtime by 20%. Collaborated with teams across marketing, sales, and product to ensure the integration of data insights into strategic decision-making. Assisted in data collection, cleaning, and analysis to support product and customer insights using Python and SQL. Created basic dashboards and reports in Tableau, helping track product performance and KPIs. Conducted initial analysis of customer behavior and product usage, providing recommendations to senior teams. Supported the automation of reporting tasks, improving data accuracy and processing efficiency. Assisted in A/B testing by analyzing results and providing insights for optimization. Collaborated with marketing and product teams to ensure data consistency and assist with ad-hoc analysis requests.

Education

• Saint Peter's UniversityMaster's degree, Data Science
• Gujarat Technological University (GTU)Bachelor of Engineering - BE, Information Technology

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