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Video meeting . 30 mins
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Video meeting . 30 mins
$40
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Video meeting . 60 mins
$60
Video meeting . 30 mins
$40
Video meeting . 30 mins
$40

About me

🚀 Turning Data Into Insight, Innovation, and Impact As a Data Scientist at INVIDI Technologies Corporation, I’m on a journey to transform the advertising industry. By harnessing the power of Python, machine learning, and cloud technologies like AWS, I’m developing innovative solutions that go beyond the ordinary—solutions that are scalable, reliable, and designed to make a tangible impact. My mission is to create user-centric applications that not only meet today’s demands but shape the future of digital experiences. 🎓 Building a Robust ML/AI Profile and Data Expertise With a Master’s degree in Computer Science from Rutgers University, I’m not just coding—I’m crafting a career focused on machine learning and AI. I’ve delved deep into data science, natural language processing, and web development, gaining hands-on experience in advanced projects. As a Research Assistant, I analyzed millions of news records, uncovering “news deserts” in New Jersey through geographic data mapping. I also built a full-stack web application with real-time emotion detection, using a machine learning model trained on FER-2013 data. Tools like spaCy, FastAPI, MongoDB, and pySpark have become my go-to technologies as I continue to deepen my ML/AI expertise. 💡 From Software Engineering to Intelligent Solutions Before joining INVIDI and pursuing advanced studies, I worked as a Software Engineer at Visa and Netcentric, a Cognizant Digital Business. There, I focused on developing and maintaining enterprise-level web applications using Adobe Experience Manager, Java, JavaScript, and HTML5. These experiences not only strengthened my technical foundation but also fueled my passion for integrating intelligent solutions into traditional software development workflows. 🌐 The Road Ahead: Building a Machine Learning and AI-Driven Future I’m committed to advancing my career by diving deeper into machine learning and AI. Whether it’s building predictive models, fine-tuning natural language processing algorithms, or leveraging cloud infrastructure for large-scale data processing, I’m continually expanding my skill set to stay at the forefront of the field. I aim to combine my software engineering background with cutting-edge ML/AI techniques to solve complex problems in data-driven domains. Let’s connect if you’re interested in exploring the world of data, machine learning, or cloud-driven solutions. I’m always eager to discuss innovative ideas, new technologies, or the latest trends shaping the future of AI.