karthikashtekar

June 2, 2002

About Candidate

As a Mechanical Engineering graduate with a passion for data-driven solutions and innovation, I combine technical expertise with entrepreneurial experience. Having founded Lifegrounds Pvt. Ltd, I led the creation of educational solutions tailored to bridge critical gaps in the ed-tech market. This venture honed my leadership and problem-solving skills, empowering me to approach challenges with a product-driven mindset. In my internship at Tata Sikorsky Aerospace Limited, I increased CNC machine efficiency by over 85%, generating annual production cost savings of ₹31 lakhs. My proficiency in Python, Power BI, Tableau, and PostgreSQL enabled me to turn data into actionable insights, driving measurable improvements in production processes. Looking ahead, I’m eager to contribute to India’s growth story by applying Artificial Intelligence and data science to solve real-world problems. My blend of technical expertise and entrepreneurial vision positions me to tackle challenges in industries like AI and data analytics, and my 99.67%ile in CAT’s Quantitative Aptitude showcases my analytical rigor. I’m driven by a desire to combine engineering, data science, and AI to transform industries and innovate for the future. Whether it’s optimizing operations or making strategic decisions through advanced analytics, I’m committed to leveraging these technologies to fuel innovation and progress.

Location

Work & Experience

P
Project Intern 1-feb-2023 - 31-april-2023
Tata Sikorsky Aerospace Limited

Led process improvement projects using Lean Manufacturing and Kaizen to boost operational efficiency, improving CNC machine output by 88%, which led to cost savings of over ₹31,00,000 annually. Developed data-driven insights using MS Excel and Tableau to optimize resources, ensure smooth production workflows, and reduce downtime. Collaborated cross-functionally with various departments to streamline production, contributing to operational goals

Skills

Python
90%
Power BI
90%
Statistics
90%

Awards

C
CAT 2023
99.67%ile in Quantitative Aptitude