Data professional with over 9 years of experience working with a large volume of data and statistically leveraging it to acquire business insights and preemptively drive the business goals towards the organization's mission. In the past engaged with Commercial Lending, Retail lending, and Healthcare clients to help them explore the data to Detect Anomalies, Perform Descriptive Analysis, Develop Predictive models, and Prescriptive models. Have a unique blend of Data Science, Statistics, and rich Software engineering experience. KEY STRENGTHS - Identify the objective of complex data problems and work with complex datasets leveraging the relevant tools. -Translate and communicate insights as tangible and actionable recommendations. - Collaborate with multiple stakeholders to conduct end-to-end analysis. SKILLS -Algorithms: Linear and Logistic Regression, K-NN, Clustering, Random Forest, Decision Tree, Support Vector Machine (SVM), Principal Component Analysis (PCA), XGBoost, Artificial Neural Networks, CNNs, NLTK, Sci-kit Learn. -Technical: Python (NumPy, Pandas), Data mining, C++, R, SQL, PL SQL, SPSS, Weka, Tableau, SAS, Hadoop, Spark, Pig, Hive, Tensorflow, Keras. - Statistics: T-test, Hypothesis Testing, ANOVA