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Nanavath Swapna

Machine Learning Engineer • n***************@gmail.com • +91*******407 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Machine Learning Engineer with 0 years of experience building ML and computer vision models, data preprocessing pipelines, and data visualizations through internships and academic projects. Hands-on with Python, NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, OpenCV, and REST API development using Django. Completed internships in Python development and data visualization; led major undergraduate projects including a Parkinson's disease detection model and an AI-based internship recommendation engine.

Technical Skills

Programming Languages: Python,Java,C,JavaScript
Web Technologies: REST APIs,HTML,CSS
Frameworks and Libraries: scikit-learn,TensorFlow,PyTorch,NumPy,Pandas,OpenCV,Matplotlib,Seaborn,Django
Databases: SQL,SQLite
Cloud and DevOps: Linux
Data and Analytics: Supervised Learning,Unsupervised Learning,Deep Learning,Model Training,Feature Engineering
Tools and Methodologies: Git,GitHub,Jupyter Notebook,VS Code,Azure DevOps
Computer Vision: scikit-image,Pillow
Concepts & Techniques: Data Preprocessing,Image Processing,Model Evaluation,API Development,Debugging,Analytical Thinking
Office & Productivity: MS Word,MS PowerPoint,MS Excel

Work Experience

INTERNPE
Intern - Python Programming
17 Mar 2024 – 13 Apr 2024
Short-term internship focused on Python development and scripting for small automation and data tasks.
Tech Stack: Python, Pandas, NumPy, Git, GitHub, Jupyter Notebook
  • Developed reusable Python scripts to automate data extraction and preprocessing workflows using Pandas and NumPy, reducing manual steps in class assignments and project work.
  • Built command-line utilities and modular functions for CSV/JSON parsing and transformation to standard formats used by downstream ML models.
  • Implemented unit tests and basic input validation for core modules to improve script reliability during iterative development.
  • Collaborated via Git and GitHub: managed branches, submitted pull requests, and resolved merge conflicts to maintain a clean codebase.
  • Optimized data-loading routines to reduce memory footprint by using chunking and dtype specification when processing large CSVs.
  • Documented code usage and created short README guides to accelerate handover and enable reuse across subsequent academic projects.
IBM SkillsBuild & CSRBOX
Micro-intern - Data Visualization
21 Dec 2023 – 04 Jan 2024
Micro-internship on data visualization and insights generation using real-world datasets provided by IBM SkillsBuild and CSRBOX.
Tech Stack: Pandas, Matplotlib, Seaborn, Jupyter Notebook, GitHub, MS PowerPoint
  • Cleaned and preprocessed heterogeneous datasets with Pandas to prepare time-series and categorical data for visualization.
  • Designed and implemented visualizations using Matplotlib and Seaborn to highlight trends, anomalies, and key KPIs for stakeholder-style reports.
  • Constructed reproducible Jupyter Notebook workflows combining data cleaning, exploratory analysis, and final charts for presentation.
  • Translated visual analysis into concise written insights and recommendations to inform simple data-driven decisions.
  • Version-controlled notebooks and visualization assets with GitHub, maintaining clear commit history and descriptive messages.
  • Presented findings through a short slide deck linking visual outputs to actionable conclusions for a non-technical audience.
Tata Consultancy Services (Forage)
Cybersecurity Analyst – Job Simulation
Interactive job simulation (Forage) hosted by Tata Consultancy Services to assess and design identity and access management solutions.
Tech Stack: IAM Concepts, RBAC, MFA, SSO, Security Documentation, Forage Platform
  • Performed a comprehensive IAM assessment exercise, identifying role-based access gaps and over-privileged accounts in the simulated environment.
  • Designed an IAM solution using RBAC principles to align permissions with least-privilege practices and business-role requirements.
  • Specified multi-factor authentication (MFA) and single sign-on (SSO) configurations to strengthen account security and simplify user access flows.
  • Prepared implementation documentation and a stepwise rollout plan describing required configuration, testing, and verification steps.
  • Mapped security controls to common best practices and documented rationale for recommended changes to support stakeholder review.
  • Summarized technical findings and recommendations in a structured report suitable for handover to engineering and operations teams.

Projects

Image search based on HTML (Real-time project)
Tools Used: HTML, JavaScript, Python, OpenCV
  • Implemented a prototype image search interface using HTML and JavaScript to accept user queries and display ranked image results.
  • Processed and indexed images using Python and OpenCV for feature extraction, enabling visual similarity-based retrieval.
Parkinson's disease detection using machine learning (Mini Project)
Tools Used: Python, scikit-learn, Pandas, NumPy
  • Built a classification pipeline using clinical/voice features to detect Parkinson's disease, including feature selection and model evaluation.
  • Evaluated multiple supervised models with cross-validation and reported performance metrics to select the best-performing approach for the dataset.
AI-Based Internship Recommendation Engine for PM internship Scheme (Major Project)
Tools Used: Python, Pandas, scikit-learn, Django, REST APIs
  • Designed and implemented a recommendation engine to match student profiles to internship listings using feature engineering and similarity scoring.
  • Exposed recommendations through a simple Django-based API allowing programmatic retrieval of ranked internship suggestions.
Tata Cybersecurity Analyst Job Simulation (Forage)
Tools Used: IAM, RBAC, MFA, SSO, Security Documentation
  • Completed hands-on tasks assessing identity and access management; designed role-based access controls and MFA/SSO strategies.
  • Produced implementation documentation demonstrating pragmatic rollout steps and validation checks for recommended controls.

Education

Vignan’s Institute Of Management And Technology for Women
B. Tech in Information Technology • 2022 – 2026
Valley oak Junior College(G)
MPC • 2020 – 2022
TSWREIS School
10th, Board of Secondary Education • 2019 – 2020

Certifications

Getting Started with AI — IBM SkillsBuild
Project Certificate — Coursera Project Network
Cohort-3 Completion Certificate — Infosys Springboard
Cybersecurity Analyst Job Simulation — Tata Consultancy Services (Forage)

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