Open to opportunities

M SRI LAXMI

@msrilaxmi

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Proactive Java Full Stack and Data Science specialist delivering ML-driven solutions.

India

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What I'm looking for

I seek roles combining Java full-stack development with applied machine learning, in collaborative teams focused on practical ML deployment, continuous learning, and impactful product development.

I am a proactive and meticulous IT specialist with a strong foundation in Java Full Stack development and Data Science, combining hands-on experience in end-to-end software development with applied machine learning. I have built and deployed projects including an SMS spam classifier, Titanic survival predictor, news veracity detector, bone fracture detection using deep learning ensembles, and MERN e-commerce platforms, demonstrating practical skills in Python, Java, React, Flask, and deployment workflows.

My internships reinforced both backend and frontend competencies and enterprise development practices; I have scored high accuracy on computer-vision ensembles and contributed to UI/UX and branding for improved user experiences. I communicate effectively, collaborate well in teams, and apply analytical thinking to optimize processes and drive innovation.

Experience

Work history, roles, and key accomplishments

Java Full Stack Intern

ExcelR

May 2025 - Sep 2025 (4 months)

Worked as a Java Full Stack Developer building end-to-end applications using React for UI and Java (Spring, Spring Boot) with MySQL backends, showcasing deployment and enterprise application practices.

Java Spring Boot MySQL React HTML CSS JavaScript REST APIs Deployment

Data Science Intern

Edunet Foundation, EY GDS, and AICTE

Mar 2025 - Apr 2025 (1 month)

Built a news veracity fake-news detection system using TF-IDF and word embeddings and trained models including Logistic Regression, Random Forest, and Gradient Boosting achieving high accuracy.

Python TF IDF Embeddings Logistic Regression Random Forest Gradient Boosting Model Evaluation Kaggle

Machine Learning Intern

NEXTGEN (Edunet/ EY GDS/ AICTE)

Mar 2025 - Apr 2025 (1 month)

Developed a bone fracture detection system from X-rays using CNN ensembles (Xception + NASNetMobile) and achieved 95.8% accuracy with deployment on Flask and evaluation by precision/recall/F1.

Deep Learning CNN Xception NASNetMobile Model Ensembling Flask Model Evaluation

Data Science Intern

Bharat Intern

Jun 2024 - Jul 2024 (1 month)

Developed an SMS spam classifier using Naive Bayes, TF-IDF, and NLP techniques and built a Titanic survival prediction model with logistic regression and other classifiers to improve predictive accuracy.

Python NLP TF IDF Naïve Bayes Logistic Regression Machine Learning Data Cleaning

Education

Degrees, certifications, and relevant coursework

Sphoorthy Engineering College

Bachelor of Technology, Computer Science (Data Science)

2021 - 2025

Activities and societies: Projects in machine learning, deep learning (bone fracture detection), Java Full Stack applications, internships and data science competitions.

B.Tech in Computer Science with a Data Science focus from Sphoorthy Engineering College completed between 11/2021 and 08/2025, covering machine learning, full-stack development, and project work.