Roopam Verma

Master's in Computer Science, UTA
Software Engineer | Data Scientist
   

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About me

"Keep pushing your limits." ― Sundar Pichai

My goal is to become a successful Data scientist by arriving at methodologies to help in understanding a given domain by mathematically modelling and implementing the same through software solutions using Machine learning methods.
I am also a Software Developer with expertise in planning and assessment, requirements definition, feature and functionality design and development, coding, testing, QA, implementation, product and infrastructure updates, and maintenance. A specialist in object-oriented design and analysis with a history of building unique and original products and solutions using intuitive problem-solving and creativity.

Education

University of Texas at Arlington

Aug 2021 - May 2023
Master's in Computer Science, specialising in Artificial Intelligence & Database Systems
3.5/4.0 GPA

Banasthali Vidyapith

July 2014 - May 2018
Bachelor's in Computer Science & Engineering
9.0/10.0 GPA

Skills

Programming Languages

Python, C++, C, Machine Learning, Deep Learning, Statistics, Java, JavaScript, PHP
Python Frameworks- TensorFlow, PyTorch, OpenAI, Weka, scikit-learn

Web Technologies

HTML5, CSS, JavaScript , Bootstrap, PHP, Flask

Cloud Technologies

Google Cloud Platform, AWS, Kubernetes, Docker

Database Technologies

SQL, MySQL, Firebase, CloudSQL, Mongo dB

Softwares

PyCharm, Jupyter Notebook, VSCode, Postman, Visual studio, Eclipse, Jenkins, GitHub, Apache, Scala

MS Office

Word, Powerpoint, Excel, Visio

Work experience

Data Engineer Intern

Hudson Advisors
May 2023- Present
Duties:
• Design, develop, and maintain data to Extract Transform and Load processes using SQL Server and PowerBI.
• Improve the performance of data processing tasks and SQL queries.
• Create and manage data models for reporting in order to facilitate data analysis and business requirements.
• Work together with business owners to comprehend data requirements and create effective data reports.
• Python along with other scripting languages to automate data ETL and processes.
• Maintain and troubleshoot data pipelines, addressing any problems or potential bottlenecks.

System Engineer

Infosys Ltd
Oct 2018- Feb 2020
Duties:
• Project: Development and Enhancement of Media Gateway Control Function Product-GSX (Gateway Signaling Exchange). Client: Ribbon Communications, USA.
• Exposed to data structures, pointers along with memory management in C++ and worked on SIP (Session Initiation Protocol) stack and sip-parser files to parse new headers and fields in SIP messages as well as in SDP (Session Description Protocol).
• Worked on call flows of SIP calls as well as ISDN/ISUP calls and protocols like TCP/UDP, OSI layers, RTP, SMTP, DNS, etc. • Performed scripting for various audits and for smooth work structure in Python.
• Experience in LINUX IDE for C/C++ UNIX Shell Scripting and knowledge in python scripting.
• Awards: Awarded 'Winner of Hackathon' during the first year of tenure in the project for developing an audit tool to stop Memory Leakage and improving the efficiency of the product (Reduced manual work from days to minutes)

Research Intern

Defense Research and Development Organization
Jul 2017 – Dec 2017
Studied Microstrip and Patch Antenna which works in Bluetooth frequency range i.e., 2.45GHz as well as Wi-Fi range i.e., 5GHz. Developed a simulation using Application CST Microwave Studio and Proteus ISIS. Explored how these antennas function in Mobile Communications.
Achieved ~ 90% accuracy
Awards: Awarded 'Most Outstanding Intern' for demonstrating the best working prototype of the solution and also for exceptional technical, presentation & communication skills.

Embedded System Intern

HCL Pvt. Ltd.
May 2016 – Jun 2016
Researched about Embedded Systems and the way it works on hexadecimal codes in Embedded C language. Learned about Atmel Studio and ISIS Proteus Software for building a home automation system, designed and applied simulation then assembled hardware part using program circuit board and integrated circuit ATMEGA 8 and 16.

Technical projects

Click each title to view project description

Machine Learning- Diabetes Severity Prediction

University of Texas at Arlington
Designed ML models such as Logistic Regression, K-Nearest Neighbours, Random Forest, Support Vector Machine to understand and predict the extremity of diabetes of patients to reduce risk and made a webpage for user to input related field values and check the severity of diabetes. Accuracy ~ 84%

Click here for Application!

Student Discussion Board - Application Development using Python Flask and Deployment on Google Cloud Platform

University of Texas at Arlington
Developed Discussion board for UTA from the scratch using Python Flask amd deployed it on Google cloud using App Engine, CloudBuild and CloudSQL and created an event driven pipeline for CI/CD using GitHub.
Click here to view work!
Click here to view application!

Data Processing using Apache Spark

University of Texas at Arlington
Python , Scala scripts to process file data as per requirement.
Click here to view work!

Web Data Management - Application Development

University of Texas at Arlington
Study of Web programming with a focus on generating dynamic, database and web-service driven web content(Javascript, PHP, MYSQL, XML) and in-depth study of XML technologies, focusing on issues and challenges that revolve around the management and processing of XML data
Click here to view work!

CIFAR-10 image classifier using Convolutional Neural networks

University of Texas at Arlington
Built a Neural network model with multiple convolutional layers (CNN), cross-entropy function and SGC optimiser. Improved the performance by increasing number of layers and epochs. Accuracy ~ 65%

Naïve Bayesian learning for classifying news text articles

University of Texas at Arlington
Built a Naive Bayesian model that processes large amounts of news articles and classifies them into different classes. Accuracy ~ 87%

Web Application on Attendance Tracking System

Banasthali Vidyapith, Rajasthan, India
Designed and developed website for attendance tracking with features including Attendance management as well as viewing whole day schedule for faculty as well as students, reducing the paperwork and making it time efficient.

1600000
Lines of Code
3
Awards Received
26
Projects

Contact Me

E-Mail

roopamverma9717@gmail.com