A quick learner, an entry-level candidate who wants to make data science a career, result-oriented professional who strives to give better results. Can handle any situation calmly and always keen to increase the productivity of the organization. I have 4+ years of experience in several profiles and would like to build up my career in the field of analytics.
Techniques/ Algorithms
Requirement Analysis, Requirement gathering, Dashboarding, Data Visualization, Data management, Data Analysis, Statistical Modelling, Agile Methodologies, Project Management, Machine Learning, Linear Regression, Logistic Regression, Random Forest, Decision Trees, SVM, Time Series, Gradient Boost, KNN
Key Skills / Concepts
Feature Engineering, Exploratory Data Analysis, NumPy, Pandas, Scikit-learn, Git, VIF, Multicollinearity, Confusion Matrix, Precision, Recall, F1 Score, Multivariate Testing, ROC Curve, Bagging, Boosting, Stacking, Cross-Validation, etc.
Tools
Python, Jupyter, Google Colab, Spyder, Advance Excel, VBA Macro, Power Query,SQL, R, RStudio,
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