• Strong mathematical foundations and good in Statistics, Probability, Calculus, Linear Algebra. • Strong Computer Science fundamentals. • Experience working with Machine Learning algorithms like Simple Linear Regression, Multiple Regression, Polynomial Regression, Logistic Regression, SVM, KNN, Decision Tree, Random Forest, AdaBoost, Gradient Boosting, XGBoost, K- fold cross validation. • Minimizing the cost function in Regression algorithms and Regularizing Linear Models with the help of Ridge and Lasso. • Hyperparameter tuning of models and Dimensionality Reduction like PCA, LDA. • Performing Exploratory Data Analysis(EDA),ETL process from various sources. • Feature Engineering in Python- Missing value treatment, outlier handling, data transformation, Feature Selection and reshaping data using Python Packages like Numpy, Pandas and Scikit Learn. • Data Visualization techniques with help of Matplotlib, Seaborn and PowerBI. • Skilled in Libraries like Numpy, Pandas, Matplotlib, Seabornn Scikit Learn, Plotly, Cufflinks. • Hands on experience working with datasets from data extraction, pre-processing, model-selection, model building, avoiding overfitting and underfitting to make optimal models,finding accuracies and try and improve it, mixed precision techniques. • Predictive and Descriptive modelling to answers problem statements. • Creating interactive dashboards using PowerBI. • Quick learner,Critical thinker with a keen eye for all details. • Enthusiasm towards researching and learning new and upcoming technologies. • Good listener, open to learn, quickly adapt, punctual and organized. • Team Player. Programming Languages : Python, C++, Machine Learning, Numpy, Pandas, Sklearn Data Visualization : Matplotlib, Seaborn, Pyplot. Tools : Anaconda, Jupyter Notebook, Google Colab. Operating System : Windows. Professional Skills : Data Mining , Decision Tree, Statistical Analysis, Predictive Analysis, Data Visualization, Classification/Regression Model, Time Series. Repository System : Github. Mail ID : pramodk772663@gmail.com