Durga Sharma

Background

About Durga Sharma

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 Script Machine Learning Algorithms: Naïve Bayes, Random Forest, KNN, K-Means, Decision Tree Predictive Models: Logistic and linear regression, Time Series(ARIMA), Multinomial Model, PCA and Factor analysis, Conjoint Analysis Data warehouse: ER Modelling, Dimensional Modelling, Data Visualization Tools: Tableau, Seaborn, Power BI