Mihika Chhabra

I am a results-driven Data Scientist with over 2 years of experience in executing data science projects from inception to completion. My journey has involved understanding client business problems, defining analytical approaches, and developing actionable solutions that drive business outcomes. I have a proven ability to engage with stakeholders effectively, preprocess and analyze both structured and unstructured data, and build predictive models that translate insights into tangible results.

Currently, I work as a Machine Learning Engineer at Siemens Energy, where I have developed and deployed machine learning models for anomaly detection and predictive maintenance across multiple projects. My efforts have led to a significant 30% reduction in downtime. I am passionate about optimizing data pipelines and mentoring junior engineers, which has improved project execution speed by 25%. My previous experience as a Machine Learning Intern has further honed my skills in applying ML algorithms and developing APIs, contributing to impactful research projects.

With a Bachelor’s degree in Information Technology and a strong technical skill set that includes Python, SQL, and various machine learning frameworks, I am committed to leveraging my expertise to solve complex problems and contribute to innovative projects in the field of data science.