I will be your data scientist and machine learning engineer

Problem Analysis Workflow:

• Reading Data / Analyzing Business Requirement / Consultation
• Analysis Data / Checking Data variation with some methodologies
• Pre-Processing Data / Data Transformation
• Feature Engineering Pipeline
• Data visualizations
• Extract Useful Information from Data
• Machine Learning / Deep learning Model Selection
• Model Validation pipeline with complete accuracy metrics
• Performing real life predictions.

I will work on your data with different models/methodologies that you want such as:

• Linear Regression, Logistic Regression
• Decision Tree, SVM
• Naive Bayes, KNN
• K-Means
• Random Forest
• Gradient Boosting / Bagging
• Ensemble Learning
• ANN / CNN / RNN / LSTM
• Genetic Programming
• Optimization / Scheduling Problems
• PCA / Anova / Chi-Square / T-test
• Scikit-Learn
• Power Bi / Tableau
• Seaborn / Matplotlib
• TensorFlow
• Pytorch
• Neural Networks
• AWS Sage Maker
• Recommendation system (Collaborative Filtering & Content based Filtering)
• Big Data Analytics (Hadoop, Kafka , Apache Spark)
• Statistics
• Probability

Time duration and Gig prices may vary according to the complexity of the task, Please message beforehand to ensure high-quality service.