Data scientist
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I am someone who values kindness and growth, always striving to learn new things and help others along the way.
Solid programming skills (often in Python, R, maybe Scala or SQL).
Experience with machine learning libraries (scikit‑learn, TensorFlow, PyTorch, XGBoost, etc.).
Good statistical knowledge (hypothesis testing, distributions, error metrics).
Data wrangling skills (handling missing data, anomalies, etc.).
Familiarity with cloud tools or deployment frameworks (AWS, GCP, Azure, Docker, etc.).
Good at visualization tools: e.g. Tableau, Power BI, or plotting libraries (Matplotlib, Seaborn).
Understanding of model monitoring, bias, and ethical considerations.
Masters in Indiana tech university in 2018
