Aditya Jasuja
About Aditya Jasuja
As a data scientist and machine learning specialist, I have a strong technical background in various programming languages and software tools. With a Master's degree in Computer Science specializing in Machine Learning and Data Science, I possess the necessary skills and expertise to handle complex data problems. My technical expertise includes proficiency in Python (NumPy, Pandas, SciPy, SciKit-learn, TensorFlow, PyTorch), DAX, SQL (MySQL), Azure Machine Learning, AWS, Power Query, Power BI, Tableau, MongoDB, Hadoop, Hive, and Spark. I have worked on various machine learning projects, including supervised, unsupervised, and reinforcement learning, as well as deep learning, natural language processing, and statistical models. In my current role as a Data Scientist, I have developed several machine learning models on large datasets to predict revenue, analyze customer lifetime value, and identify risks, trends, and actions from a business perspective. I have also worked on big data projects, including the creation of pipelines using Kafka and MongoDB and building real-time dashboards using Power BI. In addition to my technical skills, I am also experienced in risk management, data visualization, and business intelligence. I possess excellent analytical skills and can interpret complex data to drive actionable insights. I hold several certifications, including Data Science: Machine Learning by Harvard University and Statistics Foundations 1,2,3 by National Association of State Boards of Accountancy. I am also currently pursuing the DP-100 certification for Designing and Implementing a Data Science Solution on Microsoft Azure. Overall, I am a passionate and dedicated data scientist with a proven track record of delivering successful projects. I am always looking for new challenges and opportunities to apply my skills and expertise to solve complex problems. Programming: Python (NumPy, Pandas, SciPy, SciKit- learn, TensorFlow, PyTorch), DAX, SQL (MySQL), Azure Machine learning, Power Query, Hadoop, Hive, Spark Tools: Jira, Tableau, Power BI, MS SQL Server, MS AZURE, AWS, MS Office, Anaconda Jupyter Notebook, Google Analytics, MS Excel, MongoDB Skills and Interests: Data Analysis, Data Visualization, Machine Learning, Statistics, NLP, Deep Learning, Statistics Models, Business Intelligence