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mitali jain

@mitalijain

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Data analyst with expertise in statistical modeling and data visualization.

Zimbabwe

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What I'm looking for

I am looking for a collaborative environment that values data-driven insights and offers opportunities for professional growth.

I am a dedicated data analyst with a strong foundation in statistical modeling and data visualization. My experience spans various industries, where I have successfully applied analytical techniques to drive data-driven decision-making. I thrive on transforming complex data into actionable insights that can enhance business performance.

Throughout my career, I have developed a keen ability to communicate findings effectively to stakeholders, ensuring that data insights are understood and utilized. I am passionate about leveraging technology and analytical tools to solve real-world problems and contribute to organizational success.

Experience

Work history, roles, and key accomplishments

RF Test Engineer

National Instruments

Sep 2017 - Present (7 years 10 months)

Developed and maintained a comprehensive test suite for the NI PXIe-5840 RF Vector Signal Transceiver, ensuring product quality and performance. Collaborated with cross-functional teams to integrate new features and resolve complex technical issues, enhancing system reliability.

Signal Transceiver System Integration Technical Troubleshooting

Product Engineer

Texas Instruments

May 2015 - Present (10 years 2 months)

Designed and implemented automated test solutions for various analog and mixed-signal integrated circuits, significantly reducing test time and improving efficiency. Performed in-depth data analysis to identify root causes of failures and proposed effective corrective actions, contributing to yield improvement.

Analog Circuits Mixed Signal Integrated Circuits Automated Testing Data Analysis Root Cause Analysis Semiconductor Testing Python C++

Education

Degrees, certifications, and relevant coursework

National University of Singapore

Master of Science, Computer Science

Grade: GPA 4.8/5.0

Activities and societies: Participated in the AI Research Group and contributed to several open-source projects.

Studied advanced topics in computer science, including data analysis, machine learning, and artificial intelligence. Gained expertise in developing and implementing complex algorithms for real-world applications.

Anna University

Bachelor of Engineering, Computer Engineering

Grade: 8.9/10.0

Activities and societies: Member of the Computer Science Club and organized several coding competitions.

Completed a comprehensive curriculum in computer engineering, focusing on software development, hardware design, and network systems. Developed strong problem-solving skills through various projects and coursework.