About
I am currently pursuing a Master’s in Computer Sciences which is a STEM degree program at UTA and I'm also working as a Graduate Research Assistant for the CSE Department. I have 2 and half years of experience with Oracle and I'm currently looking forward to roles that are challenging and will help me up my skills.
Data Engineer & Full Stack Developer.
I have worked on multiple projects and have excellent hands-on HTML, CSS, Javascript, React JS, Node JS, PHP, SQL, PLSQL, and Python. I bring to the table a vast variety of technical knowledge that will always be useful in any project. Courses in Data Mining, Neural Networks, and Machine learning have equipped me with skills for Data Engineering and new Model Development based on the dataset. Hands-on NumPy, pandas, nltk(NLP), sklearn, pytorch, and keras in python will give me a head start with any project assigned. Also having worked on web application development and deployment on the latest cutting edge cloud platforms like IBM Cloud, Azure and AWS I’m also on track with the latest cloud technologies and Databases like Relational, NoSQL databases, and REST API technology.
- Birthday: 10 October 1995
- Website: vishnuthirumalesh.github.io
- Phone: +1 6822666964
- City: Texas, USA
- Age: 25
- Degree: Masters
- Email: vishnuthirumalesh@gmail.com
Skills
Programming: C, Embedded C, SQL, PLSQL, Python, PHP, Java
Databases: MySQL, Oracle, MSSQL, IBM DB2[RDS], MongoDb[NoSql], Cloud technologies[IBM, Azure, AWS]
Web Technologies: HTML, CSS, Javascript, Bootstrap, AJAX, JSON, REST API,XML, React JS, Node JS
Tools and OS : VSCode, Eclipse, Junit, Tableau, Azure data studio ,Selenium, Jupyter notebook, PyCharm, GIT, JIRA
Resume
An experienced and self-driven professional with excellent analytical thinking and creative problem-solving ability. Aptness to design and develop for technical problems along with a Detail-oriented approach to software
Sumary
Vishnu Thirumalesh
Innovative and deadline-driven professional with 2+ years of experience as a Technical Analyst at Oracle
- Arlington, Texas, USA
- (682) 266-6964
- vishnuthirumalesh@gmail.com
Education
Masters of Science & Computer Science
2020 - 2021
The University of Texas at Arlington
Courses :Data Structures Algorithms, Web data management,Neural Networks, Artificial Intelligence, Machine Learning, Data Mining, Advanced Databases(Cloud Technologies), Software Testing
Bachelor of Engineering & Electronics and Communication
2013 - 2017
BMS Institute of Technology & Management
Courses: C, C++, Computer Networks, Operating Systems, Microprocessors, Microcontrollers, Digital Signal Processing
Professional Experience
Technical analyst
Aug 2017 to Dec 2019
Oracle Financial Services Software Limited
- Fixed hundreds of software bugs in multiple version of Oracle’s SAAS universal banking product Flexcube.
- Worked on production data and performance issues of RDB and Customization of base web screens
- Creation of database, schema for banks and develop DDLs for data imports to offshore environments
- Develop stubs and scripts for issue replication and fixes. Provide data patches and monitor EOY for banks.
- Handled multiple banks for customization with Hands on SQL, PLSQL, XML, JavaScript, RAD tool and repositories
Graduate Research Assistant
2021 - Present
CSE Department, The University of Texas at Arlington
- Development of Ticketing system for the department for end users to raise issue on web remotely
- Deployment of web application using Apache server with mysql as database /li>
- Proficient with Linux commands in both Red Hat and Debian distros
- Maintenance of Inventory and monitoring of servers for the department
Projects
I strongly believe in project-based learning because one is autonomous as they construct personally meaningful artifacts that are representations of their learning. It helps an individual develop critical thinking to find new ways to solve problems by applying their prior knowledge as well as learning new things as they work on projects. Here are a few out of many projects done by me.
Drowsiness Detection and Alarm system using image processing, Raspberry Pi and Python:
July 2017
Camera Detects driver’s eyes and alarms when he is sleepy in real time by monitoring drivers eye closure and blinking rate using Haar-cascade algorithm in auto mobiles using Python and Open CV
Paper PublishedWeb application for movie and restaurants search:
September 2020
Asynchronous web application for movie search and display information using Javascript, AJAX and PHP
Web app to find restaurants based on name and view them on google maps data using Ajax,APIs, PHP and Javascript
Provides list of results based on name search from API and each list is clickable to obtain maps and details.
Map can be zoomed in and zoomed out, moved from initial location to obtain new list automatically.
Application is developed using HTML,CSS, JavaScript, AJAX, PHP and REST API technologies
Social Media site for managing friends online on cloud platforms [IBM, Azure, AWS]:
June 2020
Real time web application to login, view friends, add or remove friends and to fetch their basic information
Application uses relational database to store user credentials (DB2, Azure database, MySQL database)
Python flask used to validate login and fetch details. Logged in session is monitored and details page cannot be accessed unless user is logged in.
Use of cache memory to fetch results faster if the same logged in user is accessing friends list and new friends.
Application is deployed and accessed on multiple cloud platforms like IBM, Azure and AWS(EC2- elastic bean)
Sentiment Analysis on Presidential Election from Tweets and Youtube comments[NLP]
December 2020
Collect relevant comments and tweets using Google and Twitter API
Pre-process the collected data to make it suitable for analysis
SVM technique to assign polarity to comments
Predict overall people’s favor to each candidate based on polarity on all comments and Visual representation of the same for easier understanding of results
ReportText Analysis using Natural Language Processing [NLP]:
April 2020
Words and Sentence analysis by performing tokenization, support for any language
Prediction of words and sentences using N-Gram implementation and author prediction based on common words
Uses NoSQL database MongoDb for storage and retrieval of textual data and python for processing data
Statistical Analysis of Microsoft and S&P500 index value for future price prediction:
October 2020
Monte Carlo and Linear Regression based model built based on daily and monthly data from 2000 to 2020
Microdoft stock Price predictions performed for year 2030 and visualized for ease of presentation
Crowd counting using density map estimation using Multi Column CNN:
April 2021
Training is done on ShangaiTech Dataset containing real images and ground truth values
Multi column convolution neural networks was implemented with Gaussian density as filter.
Visualized and compared estimate with ground truth values. All efficient models are saved and can be called directly for testing. Reduces overhead of training everytime
Implemented 3 models to get accurate result for any image fed with any resolution for testing
Report