Sumedh Shah

Data scientist with 7+ years of experience and skills in data analytics, machine learning, statistics, causal inference, process automation, and wireless engineering & communications. A team player at heart, I’ve empowered clients with several data-driven solutions, primarily with Python, SQL, and Power BI/Tableau, and automated teams’ workloads. I also have experience with communicating complex quantitative analyses to non-technical audiences.

While I specialized in communications & networks from my BS in Electrical Engineering at UT Austin, my coursework also provided me a solid foundation in programming and data structures. From my start as a system engineer at AT&T, I honed my skills in process improvement and automation, developing policies that streamlined the operation teams’ ticket volume. I then transitioned to network engineering, where I densified our local LTE/5G network and corrected database discrepancies. 

Transitioning to AT&T's Chief Data Office, I became a big data engineer, creating robust pipelines for streaming data and delivering impactful data solutions to various business units. My expertise expanded into data science projects, including anomaly detection and call intent classification. Concurrently pursued the MIDS program, gaining expertise in statistics, machine learning, NLP, data visualization, A/B testing, and causal inference.