AddedIQ
During my tenure at AddedIQ, a dynamic startup pioneering predictive machine learning, I immersed myself in an exhilarating journey. As a software engineer, I was deeply involved in building sophisticated predictive models using Python, harnessing its versatility and power to unlock valuable insights from vast datasets.
In this role, I was entrusted with processing over 20,000 lines of data, a task that pushed me to expand my data wrangling and analysis skills. The fast-paced nature of the startup environment challenged me to learn on the fly, adapting swiftly to emerging technologies and methodologies. Embracing this dynamic atmosphere, I actively engaged in collaborative problem-solving, contributing my ideas and expertise to the team's success. My time at AddedIQ was an invaluable experience that not only sharpened my technical acumen but also fostered a deep appreciation for the potential of machine learning in predicting and shaping the future of global and national markets.
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