Parnika is an application developer with over a decade of experience building backend solutions and automating business processes for the finance, energy, and retail sectors. She is currently deepening her expertise in data analytics and generative AI through a professional certificate program at Caltech, focusing on Python, Power BI, and cloud platforms.
Her recent focus demonstrates a passion for using data to uncover insights and tell compelling stories. She actively shares her learning journey, exploring topics like customer segmentation using RFM models and how historical datasets, such as from the Titanic, can reveal narratives about inequality and survival.
Unique fact: She is passionate about data storytelling and has analyzed the Titanic survival dataset to highlight how gender and class impacted passenger outcomes.
Read the full overview →They like to take decisions independently and do not seek others' support often. They don’t appreciate bells and whistles unless backed by data. They prefer to analyze logically and value objective facts over emotions.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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