Ing. Shriraj Nannaware

• Proficient in Amazon Seller Services products and services, utilizing metrics to track and report business performance and problem areas. • Created reports, data dashboards, and visualizations, and conducted sector and competitor benchmarking using advanced analytics reporting tools. Skills: Python (Programming Language), Anaconda Jupyter Notebook, MySQL, Microsoft Power BI, Tableau, MS Office, Logistics Management, Supply Chain Management, Problem Solving, Inventory Control, Warehouse Operations.

• Utilized Excel modeling and data analysis (EDA) techniques to transform transactional source data into financial reports for presentations and performed the ETL process. • Developed and maintained Power BI dashboards and reports to monitor business performance and track KPIs. Skills: Python (Programming Language), Jupyter Notebook, MS Excel, MS Power Point, MySQL, Microsoft Power BI, Tableau, Machine Learning, Artificial Intelligence, Deep Learning, Data Science

Data Science Intern, Model Building, Data Visualization, Data Cleaning, Exploratory Data Analysis (EDA), and Machine Learning Algorithms used in given tasks give analytical solutions to business problems. Make Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Power BI Projects, Supervised Machine Learning, and Unsupervised Machine Learning Skills: Python (programming language), Jupyter Notebook, MS Excel, MS Power Point, MySQL, Microsoft Power BI, Tableau

Data Analyst | Business Analyst | Power BI Developer | Data Engineer | Data Scientist | Master Thesis Topic: "Agriculture Crop Production Optimization System using Machine Learning." Aim: The goal of this research is to establish an agricultural business production optimization system using machine learning techniques to predict crop yields and optimize resource utilization.