Welcome to my GitHub! I'm a Data Analyst with a strong foundation in SQL, Python, and Machine Learning, transitioning from a career in Software Development in Test (SDET). With over 11 years of experience in automation, data validation, and quality assurance, I now specialize in data-driven insights, predictive modeling, and business analytics.
🔹 Master's in Machine Learning & AI – Gained expertise in data analysis, machine learning models, and data visualization.
🔹 Transitioned from SDET to Data Analytics – Applied automation & data processing skills to analytics-driven problem-solving.
🔹 Passionate about Data Science – Exploring AI/ML applications in healthcare, finance, and business analytics.
🟢 Programming & Data Analysis: Python, SQL, Pandas, NumPy, Matplotlib, Seaborn
🟢 Machine Learning & AI: Scikit-Learn, TensorFlow, XGBoost, Regression & Classification Models
🟢 Data Visualization: Power BI, Matplotlib, Seaborn
🟢 Automation & Scripting: UFT, UIPath, RPA, SoapUI
🟢 Database Management: MySQL, PostgreSQL, MongoDB, PL/SQL
🚀 Lending Club Loan Default Prediction – Built a predictive model to assess credit risk using ML algorithms. 🔗 Project Link
📊 Telecom Churn Analysis – Analyzed customer retention patterns and identified key churn factors. 🔗 Project Link
🔎 Credit Card Fraud Detection – Applied anomaly detection techniques to detect fraudulent transactions. 🔗 Project Link
💡 Automated Test Case Analytics – Leveraged data science techniques to prioritize and optimize QA test cases. 🔗 Project Link
🔗 LinkedIn: linkedin.com/in/mayank-joshi-mj/
📧 Email: [email protected]
💡 Let's collaborate on data-driven projects!