CHIPATI SWATHI REDDY

AI Researcher

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

AWS Certified with strong Full Stack Development skills.
Developed a mobile app improving healthcare diagnostics.
Proven track record in data analysis and machine learning.

Stackforce AI infers this person is a Full Stack Developer with a focus on Data Science in the Healthcare sector.

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Skills

Core Skills

Data ScienceMachine LearningData AnalysisMobile Application DevelopmentFull Stack DevelopmentWeb Development

Other Skills

Python programmingstatistical analysismachine learning algorithmsdata wranglingdatabase managementdata visualizationPythonstatistical data analysisNode.jsFlutterReactFlaskKerasTensorFlowPillow

About

AWS Certified Computer Science Engineering student (CGPA: 8.9/10) specialising in Full Stack Development and Data Science. Currently expanding expertise in machine learning, statistical analysis, and data visualisation through intensive training. Demonstrated proficiency in Python, Java, React, and Node.js with a proven track record of delivering high-impact projects: Traffic Sign Recognition System, achieving 85% accuracy and the Knee Osteoarthritis app with 25% improved user engagement (published on Google Play Store). Strong technical foundation across the full development lifecycle—from data preprocessing and model training using TensorFlow, Keras, and scikit-learn to frontend/backend integration and cloud deployment. Experienced in optimising application performance, reducing load times by 25%, and leveraging data analytics for informed decision-making. Certified in AWS Cloud Practitioner, Oracle Generative AI, and Python for Data Science with hands-on expertise in SQL, pandas, NumPy, and machine learning algorithms.

Experience

Excelr

2 roles

Data Science Traine

Sep 2025 – Present · 7 mos

🎓 Upskilling in Data Science to bridge the gap between development and data-driven insights
Core Competencies in Development:
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▸ Python programming & statistical analysis
▸ Machine learning algorithms and model training
▸ Data wrangling with pandas & NumPy
▸ Database management with SQL
▸ Data visualization & storytelling
Hands-On Experience:
━━━━━━━━━━━━━━━━━━━━━━━
✓ Working on real-world datasets for analysis
✓ Building predictive models using scikit-learn
✓ Creating interactive dashboards and visualizations
✓ Implementing data preprocessing pipelines
💼 Combining Full Stack expertise with Data Science to deliver comprehensive analytical solutions

Python programmingstatistical analysismachine learning algorithmsdata wranglingdatabase managementdata visualization+2

Data Science Intern

Sep 2025 – Dec 2025 · 3 mos

Happy to share that I have successfully completed my Data Analytics / Data Science Internship 🎓
As part of my internship, I worked on a Product Recommendation System and performed Exploratory Data Analysis (EDA) using Python.
🔹 Analyzed and cleaned datasets
🔹 Extracted meaningful insights through EDA
🔹 Built a recommendation system
🔹 Visualised data for better understanding
This experience enhanced my skills in Python, data analysis, and problem-solving.
Grateful for the learning opportunity and mentorship! 🚀

Pythonstatistical data analysisData ScienceData Analysis

Knee osteoarthritis detection app (personal project)

Mobile Application Developer

Feb 2024 – Dec 2024 · 10 mos · Chennai, Tamil Nadu, India · On-site

Developed and published a comprehensive mobile application for knee osteoarthritis detection, combining AI/ML capabilities with intuitive user interface design. 📱🩺
🔗 Live on Google Play Store (Knee-OA App): https://play.google.com/store/apps/details?id=com.simats.knee
Key Achievements:
🚀 Published production-ready application on Google Play Store, making healthcare diagnostic tools accessible to users
🏗️ Architected full-stack solution coordinating Node.js backend with Flutter and React frontends, improving development efficiency by 20%
🤖 Integrated AI model training pipeline using Google Colab with Flask, Keras, TensorFlow, and Pillow frameworks, enhancing processing speed by 18%
🎯 Implemented grade prediction functionality using Flask for seamless AI model integration
🎨 Collaborated with UI/UX teams through Figma in agile environment, participating in iterative design sessions that increased user engagement by 25%
🔧 Deployed and managed test environments using XAMPP, streamlining development workflows and reducing debugging time by 15%
Technical Stack: Node.js, Flutter, React, Flask, Keras, TensorFlow, Pillow, Google Colab, XAMPP, Figma 💻

Node.jsFlutterReactFlaskKerasTensorFlow+6

Varcons technologies

Web Development Intern

Feb 2024 – Mar 2024 · 1 mo · Bengaluru, Karnataka, India · Hybrid

Project: Website for Ignyt Pub, Bangalore
Built a fully-functional web template that improved client engagement by 30%. Enhanced website performance, reduc- ing load times by 25% through optimization techniques. Delivered the project within the deadline, increasing client satisfaction by 15%. Coordinated with the client, leading to a 100% alignment with design and functionality requirements. Ensured seamless deployment by debugging and resolving over 90% of issues prior to launch.

JavaScriptSQLWeb Development