Hello, I'm
Welcome to my corner of the web 🌐
Feel free to browse and see what interests you.
If you're interested in collaborating or hiring,
do drop me an email! 📧
About Me
I'm currently a Master's student at the University of Texas at Arlington, where I'm majoring in Computer Science. My passion lies in the world of web development, and I love diving into projects that push the boundaries of what's possible on the web.
But that's just the beginning. I'm a big fan of collecting and analyzing data. I believe in the power of AI and Machine Learning to transform data into insights that drive smarter business decisions. This fascination has fueled my aspiration to become a successful Data Scientist.
When I'm not buried in code or crunching numbers, you'll find me traveling to new places and sampling different cuisines. I'm a foodie at heart and love exploring the culinary delights of the world. And to balance out all those delicious meals, I hit the gym regularly and enjoy lifting weights.
If you're looking for someone who combines technical expertise with a zest for life, that's me! Let's connect and see how we can make amazing things happen together.
Education
University of Texas at Arlington
Aug 2022 - Dec 2024
Master's in Computer Science, specialising in Intelligent Systems and Database Systems
3.91/4.0 CGPA
Anna University
Aug 2018 - Jun 2022
Bachelor's in Computer Science and Engineering
9.1/10.0 CGPA
Skills
Programming Languages
JavaScript
Python
R
C++
C
Java
Database Technologies
SQL
MySQL
MongoDB
PostgreSQL
Firebase
Big Data & Analytic Tools
PowerBi
Tableau
Excel
Apache Spark
Hadoop
Databricks
Kafka
Snowflake
Airflow
Big Query
Web Technologies
HTML
CSS
Bootstrap
React JS
Next JS
Tailwind
Figma
Flask
Django
Cloud Technologies
AWS
Azure
GCP
Azure Devops
Others
Docker
Git
Achievements & Certifications
🏅 Maverick Advantage Distinction
Issued by University of Texas Arlington
2024
☁️💻 AWS Cloud Practitioner
Issued by Amazon Web Services
2024
💻 Meta Certified Professional Front-End Developer
Issued by Meta
2024
💻 Google Certified Professional Data Analyst
Issued by Google
2024
💎 Gem Award
Awarded by Buckman
2023
🎓HEERF Emergency Grant Award
Awarded by University of Texas at Arlington
2023
💻Certificate in Python Programming
Issued by Microsoft
2020
💻Best Poster Award- Pose Guided Person Image Generation using Generative Adversarial Network
Issued at Springer Conference
2019
Work Experience
Graduate Student Assistant Math Tutor
University of Texas Arlington
Arlington, TX
Sep 2024 - Dec 2024
- Spearheaded tutoring sessions in Calculus and Statistics, guiding students through complex mathematical concepts and fostering a deeper understanding, which led to improved exam and quiz scores.
- Crafted and executed personalized study aids and tutoring sessions for a diverse group of students, enhancing engagement and empowering them to build confidence in challenging topics.
- Collaborated with faculty members to align tutoring methods with curriculum objectives, contributing to an effective and cohesive educational experience for all students.
1
Software Developer Intern
Buckman Laboratories International Inc
Memphis, TN
Jun 2023 - July 2024
- Investigated and resolved numerical inaccuracies in data sent through IoT by refactoring the front-end codebase and developing reusable, modular functions using JavaScript and React.js, improving the application's reliability and performance by 10%.
- Developed an interactive dashboard using Azure, KQL, and PowerBI to visualize key performance indicators related to Event Logs, API success and failure rates, and overall API performance. This led to a 90% reduction in manual telemetry analysis, enabling stakeholders to make data-driven decisions that optimized production outcomes.
- Implemented a user-friendly provisioning interface for IoT devices and controllers utilizing QR codes, employing React.js on the front end for an engaging user experience and Node.js on the back end, ensuring efficient data handling and server-side logic.
- Built automated data pipeline with Azure Data Factory and PowerBI to visualize key performance indicators on API, achieving a 90% reduction in manual telemetry analysis and empowering stakeholders to make data-driven decisions.
- Designed data migration workflows using R, SQL, and AWS Lambda, ensuring 80% data consistency during the transition from legacy to production systems.
- Conducted exploratory data analysis and applied statistical techniques such as outlier detection and data validation on regional budget reports, identifying and eliminating 95% of fat finger errors.
- Collaborated to develop a Generative AI copilot for internal chatbots with Azure OpenAI.
- Engineered ETL processes with Python, SQL, and Airflow to extract, validate, and clean financial data, utilizing statistical techniques for outlier detection. Integrated AWS Glue for automated transformation and loading into AWS Redshift, reducing fat-finger errors by 95%.
- Implemented an automated pipeline using Python, SQL, and Apache Airflow to capture and process keyword trends, integrating insights into a PowerBI dashboard that improved bug prioritization, and optimized root cause analysis.
- Achieved 90% code coverage by automating test cases for web application using Selenium, significantly minimizing bugs and ensuring higher code quality.
- Minimized user acceptance testing bugs by 70% by contributing to test script development
- Served as an SDET across three consecutive releases, delivering high-quality software by implementing comprehensive unit, integration, and regression testing strategies.
- Designed and developed dashboards on Azure DevOps integrated with Power BI to track ticket progress across code environments, enabling enhanced project management and streamlined decision-making for product managers globally.
2
Software Developer Intern
Cholamandalam Investment and Finance Company Ltd
India
Oct 2021 - Jul 2022
- Developed an Optical Character Recognition Engine utilizing deep learning techniques - CNN and RNN to improve image recognition and text extraction. Integrated the trained model with SpaCy for natural language processing, streamlining data extraction from identity documents.
- Optimized the Know Your Customer process, reducing manual workload and improving model accuracy by 70%, expediting customer verification timelines.
- Streamlined the critical KYC feature for this fintech company, slashing manual workload by 65%.
3
Software Developer Intern
Launch IT Enterprise Development Pvt. Ltd
Remote
Nov 2021 - Dec 2021
- Contributed to the development and execution of 20+ unit tests and automation scripts using Selenium, effectively enhancing the team's efforts to improve UI functionality.
- Assisted in writing and executing test cases for new features, helping identify and report bugs early in the development cycle.
4
Data Analyst Intern
St. Louis University
Remote
Oct 2021 - Nov 2021
- Executed exploratory data analysis on over 10 Facebook advertising campaigns, identifying a high customer acquisition cost campaign for termination, saving $2,400 in monthly ad expenditure.
- Created a comprehensive Tableau dashboard that visualized key performance indicators, allowing stakeholders to make informed, data-driven decisions and drive strategic initiatives.
5
Projects
Melanoma Skin Cancer Detection using CNN
- Developed a CNN model using VGG16 for melanoma skin cancer classification, incorporating TensorFlow, Keras, and PyTorch for data loading, augmentation, and preprocessing.
- Visualized raw and augmented images to validate preprocessing steps, achieving 80% accuracy through model compilation, optimization, and callback integration.
gRPC Backend Image Search Engine
- Designed a web application for a language-independent backend image search engine using gRPC, leveraging Protocol Buffers for defining services and message types.
- Enhanced cross-language communication between clients and servers by implementing RESTful APIs in Python and Go; containerized using Docker, resulting in a 40% improvement in response time and an 18% increase in overall system reliability.
Kmeans Clustering
- Pioneered a comprehensive K-means clustering algorithm in Python, employing random initialization and 20 iterative updates; accurately classified 13,000+ data points, increasing clustering effectiveness and model accuracy by 60%.
- Implemented Matplotlib-driven visualization to display the Sum of Squared Errors (SSE) across 20 iterations, improving analytical efficiency by 20%.
Handwritten Digit Recognition using Convolutional Neural Networks
- Developed and implemented a LeNet-5 convolutional neural network using PyTorch to classify handwritten digits from the MNIST dataset, achieving 98% test accuracy over 10 epochs and visualizing training metrics.
- Handled dataset preprocessing, model training, and evaluation, utilizing techniques such as data augmentation, Adam optimization, and cross-entropy loss, while also saving the trained model for future use.
Hadoop MapReduce
- Developed a MapReduce application using Hadoop to perform word count, character count, inverted index creation, and k-means clustering.
- Handled dataset preprocessing, model training, and evaluation, utilizing techniques such as data augmentation, Adam optimization, and cross-entropy loss, while also saving the trained model for future use.
Complexity Analysis of Sorting Algorithms
- Developed a web application using Flask to implement and compare various sorting algorithms (Bubble Sort, Insertion Sort, Merge Sort, Heap Sort, Quick Sort, and Selection Sort), displaying execution times and sorted arrays.
- Integrated dynamic data visualization using Google Charts to facilitate the comparison of sorting algorithm performance, enhancing user interaction and understanding of algorithm efficiency.
🚀 More Projects Coming Soon ✨
Stay tuned for exciting updates! 🌟