Masters in Data Science

Aug 2022 - Expected May 2024

The University of Texas At Arlingotn, TX

Embarking on a master's in data science journey at the University of Texas at Arlington, I have specialized in machine learning and deep learning, engaged in graduate research assistantships, and tackled complex datasets. My academic path is distinguished by a commitment to excellence, innovative research, and practical applications of data science, poised to graduate in May 2024 with top-tier industry experience in data engineering and datascience and analytics.

Bachelor of Technology Electronics and Communication Engineering

2016 - 2020

V R Siddhartha Engineering College, India

Graduate Research Assitant

2022 - Present

The University Of Texas At Arlington, TX.

• Led a critical data migration project from DSpace to BePress, employing Open Refine and Python for metadata cleaning and standardization, resulting in the seamless transition of over one-million records.
• Mastered data visualization and analysis with Plotly, Seaborn, Tableau, and PowerBI, generating over 50 comprehensive reports and dashboards to drive project decisions.
• Executed data extraction and manipulation in Unix/Linux for over 15,000 files, automating JSON data preparation and improving import efficiency by 40%.
• Leveraged AWS services (S3, Lambda, RDS, Glue) to manage and process terabytes of data, enhancing storage and data processing capabilities.
• Developed and implemented a machine learning model to automate the classification and tagging of academic papers, improving metadata accuracy by 30% and reducing manual processing time by 50%.
• Managed the publication process for 5 open access journals and supported the submission and maintenance of 300+ electronic theses and dissertations every semester, significantly increasing data discoverability and access.

Data Engineer

2020 - 2022

Capgemini Technology Services India Ltd, India

• Achieved a flawless track record with a 100% success rate in architecting and delivering intricate ETL pipelines well within stringent deadlines, consistently upholding code excellence for clients such as Barclays.
• Conducted in-depth analysis of internal data warehouse requirements for JetBlue, enhancing functionality and performance by 40%.
• Expertly extracted and transformed data from warehouses for Barclays, translating business needs into 50+ reports and visuals.
• Proficiently developed and designed automated test scripts within the ETL framework using Ab Initio for JetBlue, resulting in streamlined and 60% efficiency gains in testing processes.
• Restructured data integration services for Barclays to securely transfer payment data & invoices between 4 applications.
• Instrumental in onboarding and mentoring, empowering 5 new contractors in data analysis for client JetBlue.