As a passionate data professional, I specialize in leveraging data to solve real-world business problems. Currently working as a freelancer on Fiverr, I help businesses analyze their data to make informed decisions, optimize strategies, and drive growth. My services include data analysis, machine learning predictions, reviews analysis, and web scraping. In addition to my freelance work, I am continuously expanding my knowledge in data science, analytics, and machine learning to offer even more valuable insights to my clients.

Independently scraped and cleaned data from a Cars24 website, ensuring dataset integrity and readiness for analysis.Collaborated on building and optimizing Random Forest and XGBoost models for classifying mice, achieving 98% accuracy and an F1-score of 0.98 through hyperparameter tuning and feature selection.Worked with a team to develop, optimize, and then compare models (Logistic Regression, Random Forest, XGBoost, MLPClassifier) for predicting customer subscriptions, achieving 91% accuracy and an AUC-ROC of 0.76 with the XGBoost model.

During my internship, I had the opportunity to contribute to a face recognition-based attendance system project, where I gained valuable hands-on experience in implementing machine learning algorithms. This project not only enhanced my technical skills but also familiarized me with industry-level standards of working with such algorithms. Through this experience, I developed a deeper understanding of computer vision and its applications in real-world scenarios. In addition to my involvement in the face recognition-based attendance system project during my internship, I also acquired proficient skills in data manipulation, data cleaning, and data visualization.