Machine Learning Big Data

Mallika Eede

Lubbock, Texas **************@*****.*** +1-313-***-****

LinkedIn github.com/mallikaeede36

WORK EXPERIENCE

GCP Engineer Jun 2021 - Aug 2022

Tata 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.

PROJECTS

Twitter 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.

CERTIFICATIONS

IBM Data Analyst - Coursera View credentials

IBM Data Science - Coursera View credentials

Python Data Structures - Coursera

AI - Huawei

Python World Map Geovisualization Dashboard Using Covid Data - Coursera Java J2EE - TalentNext,Wipro

EDUCATION

Master Of Science - Computer Science Aug 2022 - May 2024 Texas Tech University (United States) GPA-3.66

Bachelor of Technology (B. Tech.) July 2017 - May 2021 KLEF Deemed to be University, Guntur (India)

SKILLS

Python 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

Contact this candidate