Careers@DACSS
  • For Employers
  • Home
  • People
  • Projects
  • Contact

Adithya Praneeth Parupudi

fall23
part-time
healthcare
operations
finance
Email : aparupudi@umass.edu
LinkedIn GitHub

  • Summary
  • Education
  • Technical Skills
  • Work Experience
  • Projects
  • Certifications

Interested in Data Engineering/Data Analyst roles. Worked in the IT industry for 2.7yrs as an Oracle SOA Developer. Google Data Analytics Certified.

University Of Massachusetts Amherst Amherst, MA

M.S in Data Analytics and Computational Social Science | August 2022 - Present (Expected 2023)

Jawaharlal Nehru Technological University Hyderabad, Telangana, India

B. Tech in Computer Science and Engineering | Aug 2022 – Exp. Dec 2023

  • Programming Languages : Python (Pandas, NumPy, Scikit-learn), R, Shell Scripting, SQL, Amazon Athena

  • Databases : MySQL, PostgreSQL, Amazon S3, MongoDB

  • Business Intelligence Tools : Tableau, MS Office, Looker, AWS QuickSight

  • Tools : Git, Google Big Query, SQL Server, AWS Glue, AWS Lambda, Airflow, Docker, Redshift

University Of Massachusetts Amherst ( Since Sept 2022)

Role : Developer

  • Created DACSS careers website site to showcase 50+ student portfolios using Quarto, Bootstrap, HTML, CSS

  • Enabled workflows and site deployment using Github Pages and Git

  • Automated resume creation using R’s “vitae” package

  • Classroom assistant for Text-As-Data, managed Slack channels and Zoom

  • Fixed python web-scraping code absed on “beautifulsoup” package

Tech Mahindra, Hyderabad (Dec 2019 - July 2022)

  • Utilized the Python-based Dash framework, Flask, Plotly.js to create an interactive web application that displayed real-time ticket status data from ServiceNow, including SLA vs time-elapsed metric for high-priority tickets.

  • Presented actionable insights into the performance of 40+ teams to leadership, empowering them to optimize business processes through data-driven decision-making.

  • Reduced data integration time by 50% by developing 10+ reusable integration services in Oracle SOA software, resulting in a more efficient and streamlined data integration process.

  • Collaborated with cross-functional teams to gather and analyse data requirements in a fast-paced environment, and developed data models and data mapping documents to support data integration initiatives.

  • Ensured code efficiency and reusability by utilizing SVN for version control, Jenkins for builds and MYST for integration deployment.

  • Improved system throughput by 25% by optimizing SOA infrastructure, including tuning the database, web server, and application server settings, resulting in faster data processing times and improved user experience.

  • Reduced overall integration downtime by 60% by implementing effective error handling and reporting, resulting in improved system uptime and minimized business interruptions.

  • Maintained a complex dashboard using Python, shell scripts, and SQL which showed health of 200+ integrations in lower environments

  • Trained in Oracle Integration Cloud (OIC) to assist in future platform upgrades.

Content Analysis of famous people’s biographies - Analysed 126 celebrity biographies to find similarities in terms of profession, notable achievements, era, early life, place of birth and cause of death.

  • EDA of NIFTY50 Dataset (Aug 2022) Using R, analysed the stock trends of top 50 Indian stocks between 2000 and 2021, performed time series analysis of the stock performance; best and worst stocks; and observed stock trends in 2008 and 2019-2021

  • Analysis of Enron email dataset for detecting suspicious behaviour (2018 - 2019) Measured email exchange frequency and employee’s frequently used words, and traced that word to its users.

  • Google Data Analytics Professional Certificate (Google, 2023)
  • Python Programming (Udemy, 2021)
  • Microsoft Cloud Fundamentals (2018)
  • Data Analyst in SQL, Datacamp (2023)
Copyright @ DACSS
Cookie Preferences