Manisha Tomar

Background

About Manisha Tomar

I’m passionate about using data to improve processes, solve real problems, and drive better decisions. With a strong foundation in quality assurance and a research background, I’ve spent years navigating complex systems, identifying root causes, and building frameworks for better outcomes. Now transitioning into data analytics, I bring a unique blend of analytical thinking, technical skills, and scientific discipline. I’ve worked with tools like Python, SQL, Excel, Tableau, and IBM Cognos to build dashboards, automate reporting, and extract meaningful insights from raw data. My hands-on projects include tracking KPIs that improved decision-making speed by 15%, and developing visualizations that uncovered trends in quality performance. Here’s what I’ve learned through my journey: I approach every challenge with curiosity and structure I communicate technical insights clearly to different audiences I stay focused on both accuracy and usability in my analysis I thrive when given messy data and a goal to make it useful In my QA role, I monitored 50+ materials daily, reducing product holds by 20% through data-driven decision-making. My academic research taught me how to design experiments, validate findings, and present data with clarity and purpose skills I now apply in the business world. I’m actively exploring data analyst roles where I can combine my QA background, research mindset, and technical skills to support operations, reporting, and continuous improvement. If you’re looking for someone who can bridge detail with insight. I’d love to connect.