Cloud & ML Intern - AWS (DM/ML/AI) Projects Lead

SHAIK ASHA

Shaik Asha ************@*****.***

KPHB, Hyderabad +91-934******* LinkedIn: https://www.linkedin.com/in/asha-shaik-2846b4298

EXPERIENCE: Internships

Cloud Infrastructure Deployment on Amazon Web Services (AWS) Internship Project at Brain O Vision Solutions

Pvt Ltd July 2023

•Built and deployed a scalable web application using EC2 instances, configured with appropriate security groups and access controls.

•Designed VPC architectures with public-private subnets to create secure and isolated network environments.

•Configured S3 buckets for static file hosting, versioning, and backup management.

•Implemented RDS (MySQL) for managing cloud-hosted relational databases with scalability and security.

•Managed IAM roles and policies for secure access control, and monitored infrastructure performance using AWS CloudWatch

Machine Learning Model Development and Deployment Internship Project under Google AI/ML Developer Program

– Edu Skills March 2024

•Built and trained supervised and unsupervised machine learning models using real-world datasets.

•Used Scikit-learn, Pandas, NumPy, and Matplotlib for data processing, model development, and result visualization.

•Completed the full ML pipeline: data preprocessing, model training, testing, tuning, and evaluation.

•Implemented algorithms like Linear Regression, Decision Trees, KNN, K-Means Clustering, and Naive Bayes.

•Evaluated models using accuracy, precision, recall, F1-score, and confusion matrix, enhancing prediction accuracy.

Projects

YouTube Spam Comments Detection Using Cascaded Ensemble Machine Learning Model Academic Project

•Developed an intelligent system to detect and filter spam comments on YouTube using a Cascaded Ensemble Machine Learning Model.

•Applied a combination of ensemble techniques such as Random Forest, XG Boost, and AdaBoost to improve classification accuracy and reduce false positives.

•Preprocessed user comment data using Natural Language Processing (NLP) techniques including tokenization, stop-word removal, stemming, and TF-IDF vectorization.

•Evaluated the model using performance metrics such as accuracy, precision, recall, and F1-score, achieving higher reliability over traditional models.

Designed the frontend using HTML, CSS, and JavaScript, with the backend implemented using Python and Django ORM for seamless integration and deployment.

EDUCATION

Degree

Specialization

Institute

Year

CPI

B. Tech

Computer Science & Engineering

JNTUK

2024

7.45

MPC BIEAP

Physics, Chemistry, & Mathematics

Vikas Junior College

2020

7.4

SSC STATE

-

ZPP High School

2018

9.2

ADDITIONAL

Programming Languages: Java

Development Frameworks: web services

Databases: SQL

Languages: Fluent in Telugu, English; Conversational proficiency in Hindi

Activities:

•Participated in college-level coding competitions and hackathons, applying practical problem-solving skills in real-time project challenges.

•Attended technical webinars and online workshops on AI/ML, DevOps, and Cloud Fundamentals to expand domain knowledge beyond curriculum.

•Volunteered in college peer learning groups, helping fellow students with Python basics, ML algorithms, and web development concepts

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