Akash Salode

Evaluate clients’ credit data and financial statements to determine the degree of risk involved in lending money to them. Techniques: Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Adaptive Boosting Classifier. Analyze client records and use the data to recommend credit cards as per their eligibility. Techniques: KNN, Random Forest Classifier, Adaptive Boosting Classifier, Support Vector Classifier, Pipeline, PCA, Column Transformer. Predict the root cause of the customer's complaint and notify the respective department for resolution. Techniques: ANN, GuassianNB, Support Vector Classifier (SVC), K Neighbors Classifier, Word2Vec, DBSCAN, KMeans. Developed models using predictive models, ML algorithms, and Deep Learning algorithms (ANN) models with the best hyperparameter. Coordinate with the working teams to develop a working timeline and project pipeline. Perform preprocessing operations, exploratory data analysis, and feature engineering on data. Create and test API for the best-performing model and deploy the model on AWS by coordinating with the functional team.