With over a decade of experience in Software Development, Big Data, Data Sciences, Business Intelligence, and AWS Solutions, I am confident that my technical expertise, analytical acumen, and passion for innovation align perfectly with modern age tech industry. Throughout my career, I have consistently demonstrated my ability to translate complex data into actionable insights. As a Data Analyst and BI Developer, I specialized in data modeling, enterprise data management, data visualization, and advanced data analysis. My work empowered data-driven decision-making and optimized performance within the organizations I served. My proficiency extends to AWS cloud infrastructure, where I have effectively utilized a spectrum of AWS services, from AWS Glue to EMR, enabling cost-effective and scalable solutions. I am well-versed in creating interactive dashboards and reports using tools such as Tableau and Power BI, and have experience in monitoring and optimizing SQL Server databases for peak performance. My journey in the field of Machine Learning and Artificial Intelligence has honed my expertise in developing and deploying machine learning models and algorithms. I have hands-on experience with a wide array of technologies, from PyTorch and TensorFlow to NLTK, spaCy, and scikit-learn, enhancing my predictive modeling skills. In my previous role as Sr. Business Intelligence at Publicis Groupe, I leveraged Power BI to craft data visuals and interactive dashboards that contributed significantly to data-driven decision-making, setting the stage for the company’s success. I also served as a Big Data Engineer and AWS Solutions Architect at NorthBay Solutions, where I harnessed data integration, transformation, and modeling to foster data-driven strategies. My contributions as a Machine Learning Engineer at Motive, an AI-based fleet management system, included optimizing fleet operations through advanced machine learning models and big data technologies, significantly enhancing efficiency. Furthermore, my academic background includes a Master of Science in Computer Sciences from LUMS, specializing in Machine Learning, Artificial Intelligence, Data Sciences, and Cloud Computing. I look forward to the possibility of discussing how my skills and experiences align with your needs. Please feel free to drop me a message.…With over a decade of experience in Software Development, Big Data, Data Sciences, Business Intelligence, and AWS Solutions, I am confident that my technical expertise, analytical acumen, and passion for innovation align perfectly with modern age tech industry. Throughout my career, I have consistently demonstrated my ability to translate complex data into actionable insights. As a Data Analyst and BI Developer, I specialized in data modeling, enterprise data management, data visualization, and advanced data analysis. My work empowered data-driven decision-making and optimized performance within the organizations I served. My proficiency extends to AWS cloud infrastructure, where I have effectively utilized a spectrum of AWS services, from AWS Glue to EMR, enabling cost-effective and scalable solutions. I am well-versed in creating interactive dashboards and reports using tools such as Tableau and Power BI, and have experience in monitoring and optimizing SQL Server databases for peak performance. My journey in the field of Machine Learning and Artificial Intelligence has honed my expertise in developing and deploying machine learning models and algorithms. I have hands-on experience with a wide array of technologies, from PyTorch and TensorFlow to NLTK, spaCy, and scikit-learn, enhancing my predictive modeling skills. In my previous role as Sr. Business Intelligence at Publicis Groupe, I leveraged Power BI to craft data visuals and interactive dashboards that contributed significantly to data-driven decision-making, setting the stage for the company’s success. I also served as a Big Data Engineer and AWS Solutions Architect at NorthBay Solutions, where I harnessed data integration, transformation, and modeling to foster data-driven strategies. My contributions as a Machine Learning Engineer at Motive, an AI-based fleet management system, included optimizing fleet operations through advanced machine learning models and big data technologies, significantly enhancing efficiency. Furthermore, my academic background includes a Master of Science in Computer Sciences from LUMS, specializing in Machine Learning, Artificial Intelligence, Data Sciences, and Cloud Computing. I look forward to the possibility of discussing how my skills and experiences align with your needs. Please feel free to drop me a message.WWWW…