PREM ATUL JETHWA

+1-817-***-**** adxb3x@r.postjobfree.com www.linkedin.com/in/prem-atul-jethwa www.github.com/premjethwa28 EDUCATION:

The University of Texas at Arlington, TX Aug 2021 – May 2023 M.S., Computer Science, GPA: 3.94/4.0

K.J. Somaiya College of Engineering, Mumbai University, India Aug 2013 – May 2017 B.E., Electronics and Telecommunication Engineering, GPA: 8.42/10.0 SKILLS:

Back-End: Python (Advance), SQL (Advance), Java (Advance), C/C++ (Intermediate), PHP (Basic), MATLAB (Basic)

Front-End: JavaScript (Advance), HTML5 (Advance), CSS3 (Advance), React (Intermediate), Angular (Basic)

Tools: Tableau, Power BI, Jira, Big Data, Hadoop, VS Code, Eclipse, Jupyter, Apache, Spark, ETL-Informatica, Azure

Databases: MySQL, Oracle SQL, NoSQL, MongoDB, Microsoft Access, Google Firebase PROFESSIONAL EXPERIENCE:

The University of Texas at Arlington, TX Graduate Teaching Assistant Jan 2023 – May 2023

Regulated interactive and engaging classroom discussions, contributed to the development of course materials in collaboration with faculty and peers, and delivered personalized feedback to students

Expedited with ongoing development by changing the curriculumpattern fromin-person to online, supporting a research-led and scholarly approach to student learning, increased the class mean by 15% Perseus Arm LLC, Austin-TX Software Development Intern Aug 2022 – Oct 2022

Executed 25+ web-solutions using JavaScript, CSS3 and HTML5 and migrated the best web pages to AWS platform

Demonstrated front-end code, back-end code, integrated more than 5 frameworks and APIs, and configured the GUIs in Figma

Created the architecture and enhanced the cloud formation template usingAmazon S3 to facilitate deployment

Developed and maintained 30+ complex technology infrastructure and collaborated with product team to implement new features and strategically plan, targeted to increase future productions by 20% Accenture Solutions Pvt. Ltd.,Mumbai Application Development Analyst Dec 2017 – July 2021

Addressedan Agile Scrumteam, contributing to 100% continuous improvement and continuous deployment (CI/CD)

Utilized Spark in Python to distribute data processing on streaming data sets, improve ingestion & processing of data by 65%

Leveraged Spark's distributed computing capabilities, I ensured that the processing tasks were divided and executed in parallel, leading to improved performance and reduced processing time

Modified Oracle database store procedures, triggers, and views on PL/SQL developer which oversaw inserting, modifying, deleting, resulted in 99% accuracy, a 7% increase over the old system

Demonstrated interactive cohort analysis report in Tableau Server for the product team with global filters and parameters that helped improve monthly retention by 17% for a specific target

Visualized the data in Tableau, I was able to identify patterns and trends that were crucial for decision-making and improving the product's performance

Automated the manual data reconciliation process between sources, increasing the data accuracy & efficiency by 90%

Ingested data from data sources using a combination of SQL, Google Analytics API, used clusters in Python to create data views later used in BI tools

Built data visualizations using SQL and Tableau for business KPIs that reduced manual reporting by 9 hours weekly

Visualizations provided valuable insights to the business stakeholders and facilitated data-driven decision-making

Excelled in resolving design challenges with cutting-edge solutions and process improvements to increase efficiency and ensure 100% customer satisfaction

Spearheaded a volunteer position for a Fundraising event – Collaborating Innovation and Automation ideas ACADEMIC PROJECT:

Visual Question Answering Model Jan 2023 – May 2023 Technology: Python, Deep Learning, Jupyter, NumPy, pandas Implemented a visual framework using Deep Learning where the model will predict the caption to that image Hackathon Intelligent Chatbot Aug 2021 – Dec 2021 Technology: Python, Machine Learning, Flask, scikit learn, VS Code Simple chatbot API trained using scikit learn algorithm and then deployed using flask RESTful API, to act as a backend for UI CERTIFICATIONS:

Kindly click here to view certificates

HackerRank - Python

HackerRank - SQL

Simplilearn - Python

Kaggle – Machine Learning

LinkedIn – NoSQL

LinkedIn - Tableau

Google – Analytics for Beginners

AZ-900 Azure Fundamentals