• Data Scientist with 7 years of professional experience in Python, Tableau MYSQL. • Experience in transforming business requirements into actionable data models, working in a variety of industries Banking, Real Estate & IT Product Services domains.• Strong in Business gathering requirements and then applying appropriate data structures, algorithms, software design and problem solving.• Strong experience in machine learning techniques: Regression, Predictive Modeling, Clustering, Time Series Forecasting, Classification, etc.• Apply comprehensive Data preparation methods which include Data cleaning.• Define and refine the selection of features variables which are utilized for data modeling by utilizing Exploratory Data Analysis.• Experienced with machine learning algorithms for Data Modeling such as KNN, Decision trees, Regression, SVM, and K-Means.• Train different data models on training and Test data sets for producing best performing models for clients by using Python.• Worked on data cleaning and ensured data quality, consistency, integrity, performance of data models using Python libraries (Pandas, NumPy).• Performed Machine Learning techniques including Linear & Logistic Regression, Decision Tree (Random Forest), and naïve Bayes.• Obtained accuracy models between the linear and logistic regression to draw differences in Python.Skills:Business Intelligence: Advanced Excel (VBA, Vlookup, PowerPivot), Anaconda (Jupyter, Spyder)Programming: Python (Numpy, Pandas, SciPy), HTML, CSS, JavaScript, SQL, Scikit, Shell ScriptMachine Learning Algorithms: Naïve Bayes, Random Forest, KNN, K-Means, Decision TreePredictive Models: Logistic and linear regression, Time Series(ARIMA), Multinomial Model, PCA and Factor analysis, Conjoint AnalysisData warehouse: ER Modelling, Dimensional Modelling, Data Visualization Tools: Tableau, Seaborn, Power BI