I am Mahammed Arafath, a detail-oriented Data Analytics Specialist with a Bachelor's degree in Electrical and Electronics Engineering (EEE) and a Google Data Analytics Specialist Certificate. I have a strong command of statistical analysis, data interpretation, trend identification, process improvement, database design, data mining, and segmentation. I am skilled in maintaining data confidentiality and integrity, adhering to security policies, and contributing to continual improvement practices.
Throughout my career, I have demonstrated proficiency in programming languages such as SQL, R, Python, and reporting platforms like Tableau and Power BI. I have successfully completed projects such as Social Media Sentiment Analysis, where I developed sentiment analysis using NLTK and sklearn tools in Python. This project effectively extracted insightful sentiment information from Twitter data, offering significant guidance for decision-making. I also developed powerful data visualizations that clearly conveyed sentiment trends, exhibiting and enhancing sentiment precision, and making a substantial contribution to data-driven decision-making.
Another notable project I worked on was the Sales study of electronics stores. I carried out data processing and cleansing using libraries such as Pandas, matplotlib, os, combinations, and Counter. Through exploratory data analysis (EDA), I enhanced the consumer experience by identifying peak times in various cities, states, and months. I also identified best-selling products, enhanced inventory scheduling, satisfied consumer demand, and identified commonly co-purchased items to improve marketing tactics and boost customer satisfaction.
