Data Science Research Associate
Current• Working on various data science projects under the Project Manager concerned.• Well versed in creating Machine Learning models ; whether classification , regression or association. The steps which I've worked on for creating these models were: Data cleaning (missing value treatment, outlier treatment, smoothing noisy data, resolve inconsistencies), Data Integration, Data Transformation ( normalization / standardization / aggregation), Data Reduction (feature selection / extraction), Data Preprocessing , Exploratory Data Analysis (EDA), Model Building and Model Evaluation.• Analyzed problems and worked with teams to develop solutions.• Assisted with projects by applying strong analytical skills and studies.• Developed polished visualizations to share results of data analyses.• Presented findings orally and in writing with advanced mathematical models.• Tested and validated models for accuracy of predictions in outcomes of interest.• Ran statistical analyses within software to process large datasets.• Applied loss functions and variance explanation techniques to compare performance metrics.• Modeled predictions with feature selection algorithms.