Aspiring data scientist having more than 2+ years experience working on data science projects by developing prescriptive, descriptive, predictive solutions using analytical, statistical and machine learning strategies, with a result centric approach. Highly skilled in machine learning, data visualization and creative thinking.
• Machine Learning Algorithms: Linear Regression | Logistic Regression | Random Forest | Decision
Tree | SVM | XG-Boost | K-means clustering | Neural Networks | RNN |CNN|
• Python Libraries: NUMPY ￨ SCIPY ￨ PANDAS ￨ MATPLOTLIB ￨ SEABORN ￨ BOKEH ￨ PLOTLY ￨ SCIKIT-LEARN ￨ TENSORFLOW KERAS ￨ NLTK
• Statistical Techniques: t-test | Chi-Square Test | Correlation | Hypothesis Testing
• Tools: Tableau| Python | R Studio | WEKA | Jupyternotebook |Power BI | Microsoft Azure | Advanced MS Excel | Matlab
• Data Infrastructure: Hadoop | Hive | HDFS | MySQL | NoSQL