SYED NASHITA

About

Motivated second-year M.Tech student in Artificial Intelligence and Data Science with interests in Machine Learning, Artificial Intelligence, and Data Science. Has hands-on experience with sales forecasting, data preprocessing, and model evaluation, and is ready to start working immediately.

Experience

• Java Trainee
  People Tech Group
  Jun 2024 – Nov 2024

  Gained practical experience in Java programming and software development, including Java fundamentals, object-oriented programming, exception handling, multithreading, file handling, collections, JDBC, SQL, and DBMS. Worked on practical assignments and mini-projects, improving coding, debugging, problem-solving, and teamwork skills.

Education

• M.Tech
  Chaitanya Bharati Institute of Technology · Osmania University
  Artificial Intelligence & Data Science · Oct 2025 – Jul 2027
• B.Tech
  Andhra University
  Computer Science & Engineering · 2021 – 2025
• MPC
  Sri Chaitanya Junior College
  Maths, Physics and Chemistry · 2019 – 2021
• 10th
  Narayana e-techno School
  2017 – 2018

Skills

Tools / apps / platforms

Languages

Projects

• Rapid Detection of Sudden Shifts in User Interests
  Behavioral vectors, cosine similarity, MovieLens 20M

  Research project on identifying sudden changes in user preferences within recommendation systems using long-term and recent user activities.

• AI-Powered Chatbot with NLP
  Python, Hugging Face Transformers, Microsoft DialoGPT, Streamlit

  Lightweight conversational chatbot that processes user queries and generates context-aware responses with a simple web-based interface.

• Forecast Pro ↗
  Python, XGBoost Regressor, Linear Regression, LSTM, React.js, Matplotlib, Chart.js

  Intelligent sales forecasting system built with BigMart retail data. Included data preprocessing, feature preparation, model evaluation, and an interactive dashboard for sales visualization.

• Rapid Detection of Sudden Shifts in User Interests
  Behavioral vectors, cosine similarity, MovieLens 20M

  Research project on identifying sudden changes in user preferences within recommendation systems using long-term and recent user activities.

• AI-Powered Chatbot with NLP
  Python, Hugging Face Transformers, Microsoft DialoGPT, Streamlit

  Lightweight conversational chatbot that processes user queries and generates context-aware responses with a simple web-based interface.

• Forecast Pro ↗
  Python, XGBoost Regressor, Linear Regression, LSTM, React.js, Matplotlib, Chart.js

  Intelligent sales forecasting system built with BigMart retail data. Included data preprocessing, feature preparation, model evaluation, and an interactive dashboard for sales visualization.

🏆 Achievements & awards

• University Topper / 1st Rank · 2024

  Achieved top rank in M.Tech (Artificial Intelligence & Data Science).

🎯 Hobbies & interests

• Reading Books
• Traveling
• Building Personal Coding Projects
• Learning Emerging Technologies