About me
A Virginia Tech graduate fueled by a relentless drive to make a positive impact in the world through technology. As an Associate Developer at ADP, I thrive on turning ideas into tangible solutions that not only streamline processes but also empower individuals and businesses to thrive in the digital era.
With a solid foundation in software development and a penchant for innovation, I bring hands-on experience in crafting elegant code and designing intuitive solutions. My journey from Virginia Tech's vibrant campus to the dynamic environment at ADP has equipped me with the skills and motivation to tackle complex challenges head-on.
Beyond lines of code, my true passion lies in leveraging technology as a force for good. Whether it's building sustainable solutions, advocating for diversity and inclusion in tech, or volunteering for community-driven initiatives, I am committed to driving meaningful change that transcends boundaries.
Clifton Strengths - Competition, Futuristic, Strategic, Significance, Achiever.
Alma Matter
Virginia Tech ‘23
Master’s of Computer Science and Application
Experience
Associate Application Developer, ADP
Working as an Application Developer at ADP's RUN platform with 1M+ users, to provide assistance on maintenance team and provide data insights using google analytics on the usage of platform to increase systems effectiveness.
Applying skills in MERN Stack to enhance our system by adding editing existing features and closely collaborating with the team for innovating new ideas also learning about product management.
Performed sentiment analysis of 1000 tweets records using Natural Language Processing in Python and built a logical model that segregates them into different categories depending upon keywords identified.
Further represented them in Neo4j learned in Knowledge Graph Conference 2020 for monitoring and analyzing
Machine Learning Intern, Tech Mahindra
Software Developer, Ernst and Young
Filtering raw Tax values such as Supplier GSTN, Supplier Name, Taxable value, SGST Rate and CGST Rate of 1000 records from unstructured formatted Excel into structured format using Python Natural Language Processing.
Further stored the filtered information in a formatted excel for additional analysis.