As a results-driven IT Software Manager with over 20 years of experience leading complex projects, I am expanding my expertise to include the dynamic field of Data Science. Throughout my career, I’ve developed a deep expertise in IT management, automation, and process improvement, successfully delivering innovative solutions in data-driven environments. I am passionate about using data to solve business challenges, drive efficiencies, and make informed decisions.In my current role, I’ve led high-impact initiatives such as implementing Robotic Process Automation (RPA) systems and architecting enterprise data management solutions that streamline operations across departments. My leadership of cross-functional teams has consistently yielded operational improvements and enhanced decision-making through data analytics and automation. Managing the software development lifecycle (SDLC) for critical systems has strengthened my ability to guide projects from conception to deployment, ensuring alignment with organizational goals.Recently, I completed an intensive Data Science and Business Analytics program from the University of Texas at Austin, ranking 4th out of 63 students. This experience significantly bolstered my skills in machine learning, data modeling, statistical analysis, and predictive modeling, using technologies like Python, SQL, and key libraries such as Pandas, NumPy, and Scikit-learn.Some of my key data science projects include:• Trade & Ahead: Developed clustering models to optimize stock portfolio diversification for financial firms using unsupervised learning techniques.• ReneWind: Built predictive models for wind turbine maintenance, helping reduce downtime and operational costs.• EasyVisa: Created a machine learning model to streamline visa approval processes, enhancing efficiency for federal labor certifications.• INN Hotels: Designed a model to predict booking cancellations, enabling proactive resource management and reducing revenue loss.These projects have honed my expertise in data wrangling, exploratory data analysis, predictive modeling, and deploying machine learning models that deliver actionable insights.I’m eager to leverage my IT management experience, leadership skills, and new data science expertise to transition into a Data Scientist role, where I can contribute to impactful, data-driven business strategies.Feel free to explore my data science portfolio: https://jerry-gonzalez.github.io/ePortfolio/