SC

Sai chandini chollangi

M.Tech Computer Science & Engineering graduate · Python, SQL, Data Science

Amalapuram, Andhra Pradesh, India

@sai_chandini_chollangi

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About

M.Tech graduate in Computer Science & Engineering with hands-on experience in academic projects involving recommendation systems, predictive modeling, and AI-based applications. Strong foundation in Python, SQL, data structures, machine learning, and data analysis, with experience in technical content development and problem-solving.

Experience

  • Subject Expert – Computer Science
    Bonam Venkata Chalamayya Institute of Technology & Science (BVCITS)
    Jan 2023 – Sep 2024

Education

  • Master of Technology (M.Tech)
    BVCITS
    Computer Science & Engineering · 2026
  • Bachelor of Technology (B.Tech)
    Srinivasa Institute of Engineering and Technology
    Computer Science & Engineering · 2022
  • Intermediate (XII)
    2017
  • Secondary School Examination (X)
    Sri Chaitanya Techno School
    2015

Skills

  • SQL <3 months
  • Data Analysis <3 months
  • Data Visualization <3 months
  • Deep Learning <3 months
  • Python <3 months
  • Machine Learning <3 months
  • Data Science <3 months
  • Quality Assurance <3 months
  • Data Structures and Algorithms <3 months
  • technical content development <3 months

Tools / apps / platforms

  • Microsoft Excel <3 months
  • Tableau <3 months

Projects

  • Design and Development of Crop Recommendation System Using AI-Enabled Soil Fertility Assessment
    AI

    Developed an AI-based system for analyzing soil fertility parameters and recommending suitable crops, supporting data-driven agricultural decision-making.

  • Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning
    Deep Learning

    Designed a deep learning-based predictive model combining investor sentiment analysis with optimized neural network architectures to forecast stock price movements.

  • Decision Tree Based Recommendation System for Movies
    Decision Tree

    Developed a movie recommendation system using the Decision Tree algorithm to generate personalized movie suggestions based on user preferences and viewing patterns.

🏆 Achievements & awards

  • 1st Prize – Poster Presentation, AAVISHKAR-2K19 · 2019
  • Innovation Fair 2K18 · 2018

    Attended at JNTU Kakinada.

  • MEDHA-2019 · 2019

    Attended at GIET, Rajamahendravaram.

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