Mohammed Nabeel Email and Phone Number

Analyzing the Problem statements uncover insights.Data Cleaning using MS Excel and Power BI.Performing Exploratory Data Analysis using Python Libraries like Matplotlib, Seaborn, Numpy and Pandas.Creating Visuals using Power BI to understand the insights about the data.

Utilized SQL, advanced Excel, and Python for data processing and analysis, successfully deploying a quality project for clients, focusing on efficiency and accuracy in data handling.Employed Advanced Excel functions (VLOOKUP, Pivot Tables) for in-depth data analysis and report creation, reducing manual work and increasing workflow efficiency.

Data Collection and Cleaning: Assisting in gathering data from various sources and ensuring it's clean and ready for analysis. This involves identifying and correcting errors or inconsistencies in the data.Data Analysis: Analyzing datasets using statistical methods and tools to uncover trends, patterns, and insights. This could involve creating charts, graphs, and other visualizations to help make the data more understandable.Reporting: Helping to prepare reports and presentations based on the analysis. This involves summarizing findings in a clear and concise manner and often includes creating dashboards or visual reports using tools like Excel, Tableau, or Power BI.

Data Exploration and Preprocessing: Assisting in the initial exploration of datasets to understand their structure and contents. This involves cleaning and preprocessing data, handling missing values, and performing feature engineering to prepare data for analysis.Statistical Analysis and Modeling: Applying statistical techniques and machine learning algorithms to analyze data and build predictive models. This includes selecting appropriate models, training them on data, and evaluating their performance using metrics such as accuracy, precision, recall, and F1 score.