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, GenAI, LLM, 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 creating 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, business intelligence, and experimental design. 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 the 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, RAG, LLM, GenAI, NLP, Graph database Tools: Jira, Tableau, Power BI, MS SQL Server, MS AZURE, AWS, MS Office, Anaconda Jupyter Notebook, Google Analytics, MS Excel, MongoDB, Git, MLFlow, Docker, Kubernetes, CI/CD, data warehouse, databricks Skills and Interests: Data Science, Data Visualization, Machine Learning, Statistics, NLP, Deep Learning, Statistics Models, Business Intelligence, Experimental design, A/B testing, GenAI (GPT), LLM, RAG, Regression analysis, Time-Series, and Forecasting Analysis.