• Developed Restful microservices using Flask, Django and deployed on AWS servers using EC2 and EBS.• Designed and developed middleware using Restful web services using Python scripts to parse JSON documents and load the data in database.• Used Jenkin pipelines to drive all micros services builds out to Docker registry and deployed on Kubernetes.• Implemented CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes for runtime environment for CI/CD system to test, build and deploy.• Created and developed a wrapper in python for instantiating a multi-threaded application.• Developed ETL scripts in python to get data from database table and update resultant to another database.

• Obtained adequate experience in reviewing python code for running the troubleshooting test cases and bug issues.• Experienced in using Unit testing python library for testing several developed programs on python.

• Performed analytics on university admission data using Python and obtained year-wise, location-wise statistics of admissions across departments.• Created reports and interactive dashboards in Power BI which are used by over 300 business users. Built SQL queries for result validation up to 87%. • Developed ETL module in Python to process raw data and store it to Oracle database. Worked on structured and unstructured data to generate insights.

• Developed several machine learning algorithms to predict the sales, prices and marketing trends with 92% accuracy rate. • Created and implemented many new forecasting models which increased the company productivity and efficiency.• Performed data cleansing, analysis and visualization by using the python libraries such as Pandas, Matplotlib and Seaborn.• Implemented linear and logistic regression models to predict the customer response rate based on previous transactions.• Worked with supervised (KNN, Decision trees, Naïve Bayes) and Unsupervised (K means clustering) learning algorithms.• Evaluated model’s performance on multiple test metrics such as Confusion matrix, F1 score, Precision and A/B testing.• Collected and analyzed customer feedback using streaming data stored in Apache Hadoop system with hive database.• Built data pipelines form multiple data sources by performing the necessary ETL/ELT tasks. Used MATLAB to access and preprocess the data, build machine learning models and deploy models to enterprise IT systems.• Identified, measured and recommended improvement strategies for KPIs across all business areas.• Involved in entire data science project lifecycle phases including data extraction, cleaning, transformation, analysis, visualization and statistical modeling with large datasets of structured and unstructured data.• Collaborated and communicated with data engineers, team members to meet business needs and to maintain data integrity.