Associate Application Developer• Collaborated with a team where the goal was to facilitate Cloud Migration for a client.• Created and tested multiple PowerShell Scripts. • Created, reviewed, and tested multiple Azure Logic Apps.• Aided in the creation of multiple Azure Resource Manager templates.• As per Customers request, modified Scripts, Workflows and Jobs, within SAP Data Services.• Tools & Programming used: Shell, Azure, Data Services, Gitbash, JavaScript• Environment: WINDOWS, UNIX

• Implemented predictive models using Machine Learning algorithms - Linear regression and ensemble algorithms and performed in-depth analysis on the structure of models• Review, label, transcribe data for evals, machine learning, language translations and production-oriented pipelines. Generate project analysis reports on a timely and needed basis. • Optimize existing processes, and provide ongoing feedback on tools and processes. • Interpret customer feedback, monitor satisfaction and help drive programs to improve numbers. Deliver timely different project's data at the highest possible quality standard. • Review services for video, audio, and image content in English language. • Regularly generated Data Models using Python and Azure Machine Learning to transform real estate data into predictive applications• Used Chi-squared advanced statistical techniques and dimensionality reduction techniques.• Utilized Booted Decision Tree, Linear and Bayesian Linear Regression Machine Learning models in Microsoft Azure to develop and implement interactive Webservice predictive models • Performed feature scaling, feature engineering and statistical modeling. • Prepared multiple dashboards using Tableau to reflect the data behavior over period of time• Built Text Analytics models with different Statistical Machine Learning techniques providing Data Mining solutions to various business problems and generated data visualizations using Python.• Developed NLP models for Topic Extraction, Sentiment Analysis• Worked with NLTK library to NLP data processing and finding the patterns.• Categorize comments into positive and negative clusters from different social networking sites using Sentiment Analysis and Text Analytics.

•Oversaw multiple day-to-day responsibilities, including oversaw cash register, taking out trash and building maintenance ( cleaning )

Volunteered in Rescue Animal Sheltor• Assisted in finding animal new owners• Charged with record-keeping of new animals