* Data Science Professional with almost 6 years of experience in Acquisition of correct Datasets, Data Scrubbing to mine the target data, Data Engineering to extract features utilizing Statistical Techniques, Exploratory Data Analysis with an inquisitive mind, build diverse Machine Learning Algorithms for developing Predictive Models and design Stunning Visualizations to help the growth of Business Profitability. * Communicated with cybersecurity staff and integrated 3rd Party user authentication Java Web API safely by meeting with respective stakeholders, investigating solutions, and implementing open source SSL protocols for security certification. * Responsibility include, implementing and enforcing best data governance practices, data security and data quality across Confidential enterprise. * Made it possible to initiate the integration of the Power BI Q&A natural query language as a front end User Interface for the Cybersecurity Data Catalog. Develop business and technical meta-data rules with data access security policies for structural design. * Maintain, evangelize and leverage the centralized repository across the organization and ensure integration with industry security data standards naming convention (OpenIOC -Incident of Compromise). * Build and configure Virtual Data Center in AWS cloud to support EDW hosting including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables and launching EC2, RDS instances in the defined virtual private connection. * Outstanding preeminence in Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, Predictive Modeling using R, Python and Data visualization using Power BI. * Profound knowledge in Machine Learning Algorithms like Linear, Non-linear and Logistic Regression, SVR, Reinforcement Learning, Natural Language Processing, Fuzzy Logic, Random forests, Ensemble Methods, Decision tree, Gradient-Boosting, K-NN, SVM, Naïve Bayes, Clustering (K-means), Deep Learning. * Proficient in Machine Learning algorithms and Predictive Modeling including Linear Regression, Logistic Regression, Naive Bayes, Decision Tree, Neural Networks, Random Forest, Ensemble Models, SVM, KNN and K-means clustering. * Solid experience in Deep Learning techniques with Convolutional Neural Networks (CNN), Recursive Neural Networks (RNN), max pooling, normalization and different architectures such as Alexnet, VGG and Darknet. * Excellent proficiency in model validation and optimization with Model selection, Parameter tuning and K-fold cross validation.

Highlights:

• Structured Query Language
• Business Requirements
• Data Quality
• ETL
• Quality
• Quality Assurance
• Support
• Test
• Data Analysis
• Data Management