Mamta Gupta Email and Phone Number

My name is Mamta Gupta. Recently, I have completed my journey with ITVedant to hone myself as a data analyst and in this journey, I got acquainted with several ingenious analysis tools like PowerBI, Python, Machine Learning, SQL.Talking about my educational qualifications, I have completed my masters in commerce back in 2020 with finance as majors. I switched to IT as data analyst for the reason to find the career development opportunities by challenging myself in a completely different field. Moreover, with the commerce background and finance majors in my bag, I believe I hold the ability to understand data, analyze and chalk the solutions.Some of my projects which I have done so far are:MYSQL project: Insurance claims management and risk assessment.This MYSQL project emcompasses the study of the data of key players in the insurance company i.e. customers, agents and vendors.The objective of this project is to record the customer data, track policies, managing claims, vendor management, risk assessment and fraud detection.Tools used: DDL, DML, joins, group by & more.PowerBI project: Inventory ManagementEvery organisation in every sector has to maintain an inventory to keep up the smooth flow of operations. This makes the management of the inventory, a crucial task at hand. Understanding this importance, the objective of this power Bi dashboard was to deliver the analysis of various aspects of inventory, like reorder qty, EOQ, Safety stock and more , so that warehouse managers can make informed decisions and avoid any imminent troubles.Tools used : Measures, calculated columns, reports, visualization charts, reports, dashboard, query editor (For ETL purpose).Machine Learning project: Online payment fraud detection.•Conducted thorough data preprocessing and exploratory data analysis (EDA) and performed univariate and bivariate analysis to undertake feature engineering.•Leveraged Python Libararies like Pandas, NumPy, Scikit-Learn to initiate and streamline the model development process for online fraud detection.•Optimized dataset with the help of SMOTE and different scaling techniques to enhance model performance and evaluation.•Engineered and implemented logistic regression ML model achieving a 95% accuracy and garnered 96% accuracy with decision tree algorithms.I am currently looking for jobs in data analysis field that matches my technical skills club and help me to grow and hone my skills furthermore.If there is any job available that matches my skill set, please contact me through the same platform LinkedIn.Thank you.