Data Analyst
CurrentJoined ONEAMZ, a leading e-commerce company, as a Data Analyst, contributing to data-driven decision-making and enhancing business strategies.Leveraged Python for end-to-end data analysis, including Exploratory Data Analysis (EDA), data preprocessing, and statistical analysis, enabling data-driven insights that influenced strategic decisions.Utilized Tableau and PowerBI to create visually compelling data visualizations, conducting revenue analysis, customer segmentation, and other business-critical insights that provided actionable recommendations to stakeholders.Applied machine learning techniques to solve complex business problems, implementing the top 5 most popular algorithms, including Logistic Regression and Random Forest, resulting in a 12% improvement in prediction accuracy.Spearheaded deep learning projects, implementing Artificial Neural Networks (ANN) to solve regression and classification problems, delivering accurate predictions and classification outputs.Led computer vision initiatives, applying Convolutional Neural Networks (CNN) and YOLOv8 to analyze products, enhance quality control, and optimize inventory management.Conducted sentiment analysis on social media data, extracting meaningful insights from the company's social media platforms, allowing for a better understanding of customer sentiment and brand perception.Worked closely with senior data analysts and data scientists, contributing to the development of data-driven strategies and enhancing analytical capabilities within the team.Demonstrated a strong aptitude for learning and adapting to new technologies and techniques, consistently staying up-to-date with the latest trends in data analysis, machine learning, and computer vision.Keywords: Python, EDA, Tableau, PowerBI, Data Visualization, Machine Learning Algorithms, ANN, CNN, YOLOv8, Sentiment Analysis, Cross-functional Collaboration.