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Ariselli Gayathri

B.Tech Graduate - Aspiring Data Scientist • Gudivada, Andhra Pradesh • a****************@gmail.com • 950****939

Professional Summary

B.Tech (CSE) graduate with hands-on internship experience in data science, AI, web development and cyber security. Proficient in Python programming, data preprocessing, exploratory data analysis and basic machine learning model development. Strong communicator and quick learner seeking an entry-level Data Science role to apply analytical skills, build data-driven solutions, and contribute to cross-functional teams.

Technical Skills

Programming Languages: Python,Java,C,JavaScript
Web Technologies: HTML,CSS
Frameworks and Libraries: Pandas,NumPy,scikit-learn,matplotlib,seaborn,TensorFlow,Keras,Flask
Databases: SQL,Microsoft Excel
Cloud and DevOps: Cloud Computing concepts,Jupyter,Linux
Data and Analytics: Jupyter Notebook,Data visualization
Tools and Methodologies: Git,Model validation
Soft Skills: Communication,Problem solving,Time management,Analytical thinking

Work Experience

Infexial Solutions
Data Science Intern
Tech Stack: Python, Pandas, NumPy, scikit-learn, matplotlib, seaborn, Jupyter Notebook, Git, Flask
  • Developed data preprocessing pipelines using Python (Pandas, NumPy) to clean, normalize and transform raw datasets for downstream modeling.
  • Conducted exploratory data analysis and visualization with matplotlib and seaborn to identify key features, missing patterns and correlations for stakeholder review.
  • Performed feature engineering and selection to improve model input quality and reduce dimensionality for experimental models.
  • Trained and evaluated supervised learning models using scikit-learn (Logistic Regression, Random Forest), documented performance metrics, and recommended next steps.
  • Collaborated with product and analytics teams to translate business questions into modeling objectives and delivered clear Jupyter Notebook reports for non-technical stakeholders.
  • Version-controlled code and notebooks with Git and assisted in building a prototype prediction API using Flask for demoing model outputs.
ExcelR
Cyber Security Intern
Tech Stack: Nmap, Wireshark, Linux, Windows, Security assessment techniques, Documentation
  • Assisted in basic vulnerability assessments and network scanning exercises using open-source tools to identify common misconfigurations and exposures.
  • Monitored and analyzed sample network traffic and logs to detect anomalies and understand common security event patterns.
  • Prepared vulnerability findings and mitigation recommendations, helping trainers compile actionable remediation steps for lab environments.
  • Conducted security awareness demonstrations on phishing, safe email practices and password hygiene for peer groups.
  • Supported verification of system patching and basic configuration hardening activities on Windows and Linux test systems.
  • Documented lab procedures and created reference guides summarizing key hands-on security techniques learned during the internship.
AICTE
AI Virtual Intern
Tech Stack: TensorFlow, Keras, Python, scikit-learn, Jupyter Notebook, Git
  • Completed structured virtual modules on machine learning fundamentals, neural networks and model evaluation practices.
  • Implemented small-scale neural network models using TensorFlow/Keras to classify labeled datasets and iterated on hyperparameters.
  • Applied data preprocessing and augmentation techniques to improve model input quality and robustness.
  • Documented experiment setups, tracked metrics and interpreted model outputs to draw conclusions and propose improvements.
  • Studied ethical considerations and bias mitigation strategies in AI and summarized findings for peer discussions.
  • Collaborated in peer code reviews and contributed to shared repositories to consolidate learning and reproducible workflows.
SkillDzire
Web Development Intern
Tech Stack: HTML, CSS, JavaScript, Flask, Git, Browser developer tools
  • Built responsive web pages using HTML, CSS and JavaScript to create user-friendly front-end interfaces.
  • Implemented client-side form validation and interactive UI components to improve user experience.
  • Integrated front-end pages with simple backend endpoints (Flask) to submit and display dynamic data during demos.
  • Tested cross-browser compatibility and fixed layout and scripting issues to ensure consistent behavior.
  • Used Git for version control to manage code changes and collaborated on small team assignments.
  • Prepared user documentation and walkthroughs for deployed demo pages to support stakeholder testing.
Learning New Technologies

Projects

Personalized Healthcare Recommendation Using AI
Tools Used: Python, Pandas, scikit-learn, Data visualization
  • Designed a prototype recommendation system to suggest healthcare services/alerts based on patient attributes and historical data.
  • Performed data cleaning, feature extraction and exploratory analysis to identify clinically relevant patterns and inputs for the model.
  • Built and evaluated baseline machine learning models and produced visualizations and a report summarizing approach, findings and next steps.
Community Service Project – Sanitation Awareness
Tools Used: Communication, Project coordination, Content creation
  • Organized and participated in a local sanitation awareness campaign focused on improving hygiene practices in the community.
  • Created educational materials and social media content to raise awareness and increase participation from local residents.
  • Coordinated volunteer activities and tracked outreach outcomes to measure community engagement.

Education

VKR VNB & AGK College of Engineering, Gudivada
B.Tech (Computer Science & Engineering) • Gudivada, Andhra Pradesh
Narayana Junior College, Gudivada
Intermediate • Gudivada, Andhra Pradesh
Siddhartha EM High School
SSC • Gudivada, Andhra Pradesh

Certifications

NPTEL Cloud Computing — NPTEL • 2025
Python Workshops
Cloud Computing Seminar

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