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Kuppireddy Swathi

Entry-level Machine Learning Engineer • KPHB, Hyderabad • s****************@gmail.com • +91*******371 • linkedin.com/••••• • swathi-kuppireddy.vercel.app/•••••

Professional Summary

Entry-level Machine Learning Engineer with 0 years of experience applying Python, SQL and machine learning fundamentals to build data-driven models and AI proof-of-concepts. Strong academic foundation in IoT and cybersecurity, hands-on experience building ML pipelines, NLP workflows, and predictive models; seeking an entry-level role in ML/Data or software engineering to contribute model development, data preprocessing and reproducible analytics.

Technical Skills

Programming Languages: Python,Java
Frameworks and Libraries: pandas,NumPy,scikit-learn,matplotlib,seaborn,NLTK
Databases: SQL
Data and Analytics: Machine Learning,Predictive Modeling,Natural Language Processing,Time Series Forecasting,Model Evaluation,Power BI,Data Visualization
Tools and Methodologies: Git,GitHub,Google Colab,VS Code
Concepts & Methods: Object-Oriented Programming,Feature Engineering
Soft Skills: Communication,Teamwork,Problem Solving

Work Experience

Google (Virtual)
AI/ML Intern (Virtual Internship)
Completed a Google virtual AI/ML internship focused on core machine learning concepts, real-world AI workflows and practical model development.
Tech Stack: Python, scikit-learn, pandas, NumPy, NLTK, Google Colab, Git, GitHub, Jupyter Notebook
  • Completed structured AI/ML curriculum and hands-on labs, applying Python and scikit-learn to implement supervised and unsupervised models for classification and clustering tasks.
  • Built end-to-end ML workflows in Google Colab: data ingestion, cleaning with pandas/NumPy, feature engineering, model training and cross-validation.
  • Implemented NLP techniques for text similarity and paraphrase detection using NLTK and vectorization methods to evaluate document-level comparisons.
  • Applied model evaluation practices (train/test splits, cross-validation, precision/recall) to validate model performance and reduce overfitting.
  • Documented projects and published reproducible Jupyter/Colab notebooks and GitHub READMEs to share results and enable peer review.
  • Collaborated with peers in virtual problem-solving exercises and practiced AI tool workflows and prompt-engineering techniques to refine solutions.

Projects

AI Firewall & Malware Detection
Tools Used: Python, scikit-learn, pandas, Anomaly Detection, Classification
  • Designed an AI-driven security prototype to detect malicious network traffic by extracting flow-based features and training supervised classifiers.
  • Implemented anomaly detection techniques to identify malware signatures and unusual patterns, iterating on thresholds and feature sets to improve detection precision.
  • Packaged the pipeline with reproducible Python notebooks and documented the simulation environment on GitHub for demonstration and review.
Smart Mobile Upload With Automated Extraction And Pdf Integrity Export
Tools Used: Python, NLP, text similarity, pandas, document processing
  • Built a plagiarism detection pipeline using NLP methods (TF-IDF, cosine similarity) to compare uploaded documents and flag potential matches.
  • Developed paraphrasing and summarization modules to detect content alteration and integrated citation validation checks to improve academic verification.
  • Automated PDF extraction and integrity checks; created demo workflows and hosted code on GitHub with clear usage instructions.
Stock Market Prediction System
Tools Used: Python, pandas, scikit-learn, data visualization, Power BI
  • Developed predictive models for stock trend forecasting using historical price data and engineered time-series features for model input.
  • Evaluated model performance with appropriate metrics and visualized results using matplotlib and Power BI dashboards to reveal trends and predictions.
  • Created end-to-end notebooks demonstrating data ingestion, preprocessing, training and result visualization; published artifacts to GitHub.

Education

QIS College of Engineering & Technology
B.Tech – Computer Science (IoT and Cyber Security with BCT) • 2022 – 2026
Sri Harshini Junior College
Intermediate (MPC) • 2020 – 2022
Z.P. High School, Nagambotlapalem
SSC • 2020

Certifications

Python Certification — Code Tantra & IBM Developer Skills Network
SQL and Relational Databases 101 — Cognitive Class
Generative AI (ChatGPT) — GeeksforGeeks
TCS ION Career Edge – Young Professional — TCS iON

Achievements

  • Participant — Beat the Bug coding competition at ZEITGEIST
  • Participant — Project expos, MSME contests and technical events

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