| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
Lubbock, Texas EMAIL AVAILABLE PHONE NUMBER AVAILABLELinkedIn github.com/Candidate's Name Street Address
WORK EXPERIENCEGCP Engineer Jun 2021 - Aug 2022Tata Consultancy Services Hyderabad, India Developed and optimized SQL queries on Google Cloud Platform (GCP) for timely data retrieval and analysis, leveraging Big Data tools such as Spark (Scala/Python), Hive, HDFS, Sqoop, HBase, and Impala. Managed GCP Storage buckets to ensure efficient data ingestion and storage from various platforms, handling huge volumes of data for analytical needs. Implemented and maintained data transformation and ETL processes using Python for coding and interacting with GCP services, ensuring high-performance, reliable, and maintainable code. Created and managed databases, schemas, and Hive tables (External and Managed) with various file formats (Orc, Parquet, Avro, Text) to support data curation and analytics requirements. Monitored job performance metrics using GCP Stackdriver to ensure operational reliability, promptly identifying and resolving issues. Collaborated with teams to conduct code reviews and design reviews, ensuring adherence to best practices and efficient workload management. Utilized Git for version control, managing codebase changes and ensuring seamless CI/CD pipeline integration for efficient deployment. Advised and implemented necessary infrastructure changes based on performance monitoring insights, optimizing workload management and dependency management for improved operational efficiency.PROJECTSTwitter Sentiment Analysis (NLP & Machine Learning) Developed a Flask web application for real-time Twitter Sentiment Analysis using NLP and Machine Learning techniques. Integrated a pre-trained sentiment analysis model and TF-IDF vectorizer for sentiment prediction. Implemented advanced text preprocessing techniques including stemming and stop word removal to enhance the accuracy of sentiment analysis predictions. Designed an intuitive user interface using HTML and Bootstrap, ensuring a seamless and user-friendly experience for inputting tweets and receiving sentiment predictions. Successfully deployed the Flask app locally for testing and debugging. Achieved 88% accuracy in classifying tweets as positive or negative.Facial Recognition App Development Created a robust facial recognition application using Python, OpenCV, TensorFlow, and Keras, achieving over 95% accuracy in identifying and verifying individuals. Implemented an efficient incremental sync mechanism, eliminating the need for re-syncing old highlights. Containerized the application using Docker and established a CICD pipeline to build and push a new image every time the application is modified. Leveraged GitHub Actions to automate syncing of highlights whenever updates are made. Proactively fostered a community of developers who actively contribute to the project, enabling continuous improvement and growth.CERTIFICATIONSIBM Data Analyst - Coursera View credentialsIBM Data Science - Coursera View credentialsPython Data Structures - CourseraAI - HuaweiPython World Map Geovisualization Dashboard Using Covid Data - Coursera Java J2EE - TalentNext,WiproEDUCATIONMaster Of Science - Computer Science Aug 2022 - May 2024 Texas Tech University (United States) GPA-3.66Bachelor of Technology (B. Tech.) July 2017 - May 2021 KLEF Deemed to be University, Guntur (India)SKILLSPython SQL C Programming GCP HTML Java Matlab AutoCad C Programming MS Excel GitHub Actions Cloud AWS GCP Python JavaScript Scripting Linux Logging Monitoring Project Management Communication Leadership Time Management Adaptability Problem Solving Teamwork Creativity |
