Dev Parikh Email & Phone Number

I am a data analyst and full-stack developer with over 3 years of experience in the tech industry, specializing in web development and data science. My background in computer engineering provides a strong foundation for tackling complex technical challenges.In web development, I have extensive experience building responsive and efficient applications using modern frameworks such as React.js, Node.js, and Django. I've successfully delivered projects for various industries, including telecommunications, demonstrating my ability to create user-friendly interfaces and robust backend systems.My data science skills are exemplified by projects like the Los Angeles Police Department crime data analysis. Using Python and libraries such as Pandas, Matplotlib, and Seaborn, I conducted comprehensive exploratory data analysis on a large crime dataset. This project showcased my proficiency in data cleaning, statistical analysis, and data visualization, resulting in meaningful insights that could potentially improve law enforcement resource allocation.I'm well-versed in machine learning techniques, having developed models for customer churn prediction and implemented object detection systems using TensorFlow and OpenCV. My experience spans from data preprocessing to model deployment, enabling me to deliver end-to-end machine learning solutions.Currently pursuing a Master's degree in Data Science, I'm continuously expanding my knowledge in advanced analytics and big data technologies. My goal is to leverage data-driven insights to solve real-world problems and drive informed decision-making in organizations.Throughout my career, I've demonstrated strong project management skills, leading teams and collaborating effectively with cross-functional groups. My ability to communicate complex technical concepts to non-technical stakeholders has been crucial in ensuring project success.With a diverse skill set encompassing full stack development, data analysis, and machine learning, I'm poised to contribute significantly to projects that require a multidisciplinary approach in software development and data science.