About me

Are you searching for a Software Engineer with a proven ability to develop high-performance applications and technical innovations? If so, please consider my enclosed Resume, and GITHUB repositories.

I completed my Master's Degree in Data Science from the University of North Texas (UNT) with a 3.8 GPA in May, 2021. I would love to expand the boundaries of the shared space to create innovative and impactful technologies. My OPT start date is May 24th, 2021. I am currently working as Software Developer(Data Science) at Johnson&Johnson and previously worked as DataScience Global Product Management Intern, Summer (May 2020 - August 2020) at Janssen: Pharmaceutical Companies of Johnson & Johnson, where I have been contributing to projects in the Janssen Established Products team and Artificial Intelligence project for clinical overviews using Natural language processing and recognized for developing visual insights using the Janssen Established Products data to make productive business decisions. Previously, I worked as a Software Engineer for ValueMomentum | IT Services & Software,(2017-2019) where I have been repeatedly recognized for developing innovative solutions for multimillion-dollar, globally deployed software and systems. I am responsible for the full lifecycle development of next-generation software, from initial requirement gathering to design, coding, testing, documentation, and implementation.

Known for excellent client-facing skills, I also excel in merging business and user needs into high-quality, cost-effective design solutions while keeping within budgetary constraints. I nurture my inherent curiosity by asking questions, breaking things and making them differently, learning through experimentation while iteratively trying new and different approaches, endlessly assimilating diverse skills and knowledge, and perhaps most importantly, learning from failure. This approach has often helped me to dynamically shift through protocols, languages, techniques, and disciplines while also leveraging just-in-time learning and divergent thinking to build avant-garde and creative solutions to ambiguous problems. I have always believed in realizing use cases - the real-life problems to solve and work back to engineer the technology for the same.

Highlights of my skill and interest include (but hopefully not limited to):

1. Statistical Learning:

• Python NumPy, Pandas, Scipy, Scikit-Learn, Matplotlib, Keras, PyTorch, PyCaret, Natural Language Processing.

• Deep Learning, Machine Learning(Supervised, Unsupervised, reinforcement learning).

• Convolutional Neural Network, TensorFlow.

2. Big Data Ecosystems: 

• Hadoop, MapReduce, HDFS, HBase, Zookeeper, Hive, Pig, Sqoop, Oozie, Flume.

• Tools: Cloudera, Hortonworks

• Databases: SQL, MY SQL, MarkLogic(NoSQL), MongoDB, Elastic Database, Marklogic

3. Configuration & Management:

• Maven, IntelIJ, Eclipse, git, bitbucket, GitHub. 

• Jenkins, GitLab, UrbanCode.

4. Visualization

• Tableau, Qlik Sense, PowerBI, Google Charts, Google Analytics, Adobe Analytics 

4. Back End:

• Java, Pyhron, Java EE, Microservices, Spring framework, Servlets.

• JSP, XML / XSL / XSLT, JPA , RESTful Web Services.

• JDBC, Oracle / MySQL, Junit.

5. Front End:

• HTML, CSS, AJAX.

• JavaScript, XQuery, TypeScript, AngularJS.

5. Others:

• Can program in languages Python, R, PHP, and C.

• Native Android App Development, Drupal, WordPress, Joomla, Shopify, CMS Hub.

• Can work with IoT (RaspberryPi, Arduino).

• Hands-on with various tools available on the internet.