Dhyey Patel

About

With a robust foundation in data science and information technology, I am currently pursuing a Master of Science in Data Science at Pace University, following my Bachelor of Engineering in Information Technology from Gujarat Technological University. My professional journey includes a Data Analyst role at Community Dreams Foundation, where I analyze data to support strategic decision-making. Previously, as a Data Analyst Intern at Jain Alert Group USA, I provided actionable insights that increased volunteer engagement and donor retention, significantly boosting donations. My experience as a Python Intern at Silverwing Technologies involved developing a web application, 'Towing Manager,' which enhanced customer satisfaction and operational efficiency by reducing roadside assistance calls. My expertise lies in data analysis, visualization, and application development, with a proven track record of delivering insights that drive organizational success.

Experience

• Data Analyst · Community Dreams Foundation09-01-2024

  As a Data Analyst, responsible for analyzing data to support organizational goals and decision-making processes.

• Data Analyst Intern · Jain Alert Group USA07-01-2023 – 08-01-2023

  Analyzed and interpreted extensive data spanning across 25+ events to provide actionable insights, supporting organizational initiatives and decision making processes, and uncovering trends that boosted volunteer engagement by 15%. Created comprehensive reports by visualizing data using dashboards that effectively communicated trends and patterns which facilitated fundraising efforts, improving donor retention by 40%, and driving a 15% increase in overall donations.

• Python Intern · Silverwing Technologies Pvt. Ltd.10-01-2021 – 05-01-2022

  Engineered the development of ‘Towing Manager’, a web application that provides detailed information on towed vehicles, including reasons for towing, associated fines, vehicle’s towed location, and real-time location. Devised and implemented comprehensive solutions for common driver issues during travel, addressing flat tires and engine overheating; reduced roadside assistance calls by 40%, and enhanced customer satisfaction ratings. Generated visual report and dashboard based on fictional towing data to analyze patterns such as high-risk areas for vehicle breakdowns and peak towing times, providing actionable insights. These reports demonstrated potential improvements in operational efficiency and reduced response times.

Education

• Pace University - Seidenberg School of Computer Science and Information SystemsMaster of Science - MS, Data Science
• Gujarat Technological University (GTU)Bachelor of Engineering - BE, Information Technology

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