Ayush Singh

About Ayush Singh

I am a motivated and results-driven individual with a strong foundation in Data Science, AI, and Software Engineering. Holding a Bachelor\'s degree in Computer Science with a specialization in Data Science, I am passionate about leveraging data-driven insights and AI to solve complex problems and drive innovation. My expertise lies in data analysis, process automation, and building scalable software solutions. I am particularly interested in developing data-driven technologies and exploring AI applications to create impactful business solutions. I thrive in environments that challenge my abilities to integrate data science with software engineering, and I am constantly looking for ways to optimize processes and improve efficiencies. With hands-on experience using tools like Java, Python, Excel, Tableau, MySQL, and frameworks such as ReactJS and Flask, I am eager to continue expanding my skills in machine learning, data analytics, and software development. My goal is to contribute to transformative innovations that make a difference in the tech industry I am looking for opportunities in Data Science, Software Engineering, and AI where I can deepen my expertise, further develop my skills, and contribute to data-driven innovations that drive forward-thinking solutions.

Experience

1. Trainee Data & Business Analysis

   Wticabs

   Aug 2024 — Present · Gurugram, IN

   Operations Management for Uber Black: Played a pivotal role in managing the operations of Uber Black for the Delhi NCR region under the guidance of senior leadership. By leveraging data analytics, monitored driver performance and optimized fleet utilization to maintain premium service standards. Collaborated with cross-functional teams to address operational challenges and implement strategic solutions. Supported driver onboarding and training programs, emphasizing adherence to luxury service protocols and customer satisfaction. Data Analysis & Process Optimization: Utilized Excel and Google Sheets to analyze over driver activities and vehicle usage, defining key performance metrics. These insights helped improve operational efficiency by 25%, enabling better decision-making and resource allocation.Automation & Efficiency Improvement: Managed automated Python scripts to streamline the billing process, reducing manual errors by 40%. This automation ensured real-time generation of invoices based on driver performance, enhancing the accuracy and timeliness of billing.Dashboard Creation & Visualization: Developed interactive Tableau dashboards to track essential operational metrics. These visualizations provided actionable insights into process gaps and helped optimize workflows, resulting in a 15% increase in overall service efficiency.Market Research & Strategic Expansion: Conducted an in-depth market analysis to support the company’s plan for expanding into the car servicing sector, leveraging fleet of vehicles expertise to strategically enter the service and maintenance market. Competitor Analysis & Digital Platform Development: Performed a comprehensive competitor analysis, identifying critical gaps in post-warranty car servicing, which guided the development of a digital platform for streamlined service bookings and efficient maintenance tracking.

Education

• Lovely Professional University

  Bachelor of Technology - BTech

  2020 — 2024