🎓 B.Tech CSE (Cyber Security) Student (Class of 2027)

📍 Telangana, India

I am passionate about building intelligent systems using Machine Learning, Generative AI, and Backend Engineering.

My experience includes developing data-driven applications involving:

• 📊 Machine Learning
• 🤖 Generative AI
• 📈 Time-Series Analytics
• 🔍 Anomaly Detection
• ⚙️ REST API Development
• 🔐 Authentication & Security
• 📉 Interactive Data Dashboards

I enjoy transforming data into practical applications that solve real-world problems while continuously improving my engineering and problem-solving skills.

• Advanced Machine Learning
• LLM Applications
• Prompt Engineering
• Backend System Design
• Scalable Application Architecture
• API Security & Authentication

Areas I actively work on:

• Machine Learning
• Time-Series Analysis
• Statistical Modeling
• Feature Engineering
• Anomaly Detection
• Generative AI
• Prompt Engineering
• LLM Applications
• Data Visualization

Python • Pandas • NumPy • TSFresh • Streamlit

• Built a health anomaly detection system using physiological time-series datasets.
• Processed wearable health data and extracted meaningful features using TSFresh.
• Implemented statistical anomaly detection techniques.
• Detected 17 anomalies across heart-rate and sleep datasets.
• Developed an interactive Streamlit dashboard for visualization and health-data exploration.

🔗 Repository: https://github.com/NishmaGosetty/Infosys_FitPulseHealthAnomalyDetectionFromFitnessDevices

🔗 Live Demo: https://fitpulse-health.streamlit.app/

Node.js • Express.js • MongoDB Atlas • JWT

• Developed secure REST APIs.
• Implemented JWT Authentication.
• Integrated bcrypt password hashing.
• Built Role-Based Access Control workflows.
• Applied backend security practices and route protection.

🔗 Repository: https://github.com/NishmaGosetty/triptastic-secure-travel-platform

Django • SQLite

• Built a Django-based task management application.
• Implemented complete CRUD functionality.
• Added task scheduling and reminder workflows.
• Designed relational data models using Django ORM.
• Built a modular backend architecture for scalability.

Infosys Springboard (Virtual)

• Built a time-series analytics pipeline for wearable health data.
• Performed preprocessing, feature extraction, and anomaly detection.
• Developed interactive Streamlit dashboards.
• Structured reusable analysis and processing workflows.

EduSkills × Google Cloud

• Applied Prompt Engineering concepts through practical assignments.
• Worked with LLM-based applications.
• Explored responsible AI principles and AI-assisted workflows.
• Practiced text generation and summarization use cases.

Zscaler

• Completed cloud security learning tracks and labs.
• Explored Zero Trust Architecture concepts.
• Worked on Identity & Access Management (IAM).
• Studied secure access control and threat detection principles.

🥇 1st Place – TechKnowthon Hackathon (2025)

🏅 Top 10 Finalist – Havana'25 Hackathon (2025)

🎓 Ranked Among Top 20% of Department

📈 CGPA: 9.53

• Ethical Hacking Essentials – EC-Council
• SQL Injection – EC-Council
• Cybersecurity Fundamentals
• Network Security Fundamentals – Palo Alto
• Introduction to Cybersecurity – Cisco
• Ethical Hacking Internship – EduSkills
• Deloitte Cyber Job Simulation
• Python – HackerRank
• CSS – HackerRank
• HTML – Scaler

• Data Structures & Algorithms
• Object-Oriented Programming
• Database Management Systems
• Operating Systems
• Computer Networks
• Machine Learning

• Build Production-Ready ML Projects
• Develop End-to-End AI Applications
• Strengthen Data Structures & Algorithms
• Contribute to Open Source
• Learn System Design
• Explore Advanced LLM Engineering
• Secure AI/ML Internship Opportunities

Consistency beats talent when talent doesn't stay consistent.

⭐ Always Learning • Always Building • Always Improving