Predictive Data Quality Modelling for Financial Customer Data Using Machine Learning

@HiraMahmood4072

Hello, With over 7 years of experience in Excel, Data Science, Data Visualization, Statistical Analysis, and Statistics, I have the expertise to handle your project efficiently. I have carefully reviewed the requirements for the project. To address the predictive data quality modeling for financial customer data using machine learning, I will begin by loading the dataset from Kaggle and performing exploratory data analysis (EDA). Synthetic duplicate labeling will be implemented due to the absence of labels. Feature engineering will involve creating features based on exact matches, numeric differences, and similarity measures. The workflow will include model training and evaluation using techniques like Logistic Regression, Random Forest, Gradient Boosting, XGBoost, or similar algorithms to develop a tuned model. Evaluation will focus on achieving an F1-score of ≥0.85, balancing precision and recall. The deliverables will include a reproducible notebook, clean code, a concise report, and a README file detailing the project setup. I would like to discuss this project further with you. Please connect with me via chat for a detailed conversation. You can visit my profile at https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@MZITSERVICES

Hi there, I am A.R.M. MASUD, with a strong Data Science background. As a Python developer, I have extensive experience building robust, scalable, and efficient solutions that address various business needs. I understand the importance of delivering high-quality, well-architected code, and I am committed to working closely with you to ensure the success of this project. I implement core functionality using Python, utilizing relevant libraries and frameworks such as Pandas, NumPy, GUI, SciPy, Matplotlib, Seaborn, Plotly, Scikit-learn, TensorFlow, Keras, PyTorch, spaCy, Flask, Django, FastAPI, OpenCV, and Jupyter. I am a professional responsible for extracting actionable insights and knowledge from large volumes of data through Machine Learning models, including CNNs, RNNs, LSTMs, GANs, Transformers, FNNs, ANNs, and DNNs. I conduct comprehensive unit, integration, and performance testing to ensure the solution is error-free and optimized. https://www.freelancer.com/u/MZITSERVICES I appreciate the opportunity to submit this proposal and am excited about the possibility of working with you to bring your project to life. Thanks A.R.M MASUD