Summary
Work History
Education
Skills
Accomplishments
Projects
Hobbies and Interests
Languages
Timeline
Generic

Midde Triveni

Kurnool

Summary

Motivated and detail-oriented Data Science and Machine Learning Fresher with strong skills in Python, SQL, data cleaning, model building, and visualization. Hands-on experience through projects in machine learning, EDA, and classification/regression models. Passionate about solving real-world problems using data-driven insights and delivering accurate predictions.

Work History

AI Domain Intern

Skill Vertex
05.2023 - 07.2023
  • Developed and optimized three machine learning models for business datasets, improving predictive accuracy by up to 15%.
  • Performed data preprocessing, feature engineering, and model evaluation for supervised and unsupervised algorithms.
  • Enhanced problem-solving and analytical skills through real-world data challenges.

Education

B.Tech - Computer Science & Engineering

Dr. Samuel George Institute of Technology & Engineering
Markapur
01.2025

Intermediate - MPC

AP Model Junior College
Jupadu Banglow
01.2021

SSC -

AP Model School
Jupadu Banglow
01.2019

Skills

  • Python and R programming
  • SQL database management
  • Version control with Git
  • Data analysis with Jupyter Notebook
  • Web development with Flask
  • Data visualization using Tableau
  • API integration techniques
  • NumPy and Pandas for data manipulation
  • Matplotlib and Seaborn for plotting
  • Machine learning with Scikit-learn
  • Deep learning with TensorFlow and Keras
  • Data preprocessing and feature engineering
  • Predictive modeling strategies
  • Model deployment practices
  • Source and version control: git, github

Accomplishments

• Completed multiple end-to-end Machine Learning and Deep Learning projects with measurable impact.
• Participated in coding competitions, hackathons, and AI challenges, receiving recognition in two events.

Projects

Deep Learning Drug Prediction, 03/01/25, 04/30/25, Built a deep learning model to predict drug effectiveness, achieving 90% test accuracy., Integrated backend with Flask and developed a frontend for interactive predictions. Data Science Mini Project, Ongoing, Created an end-to-end data preprocessing and visualization pipeline for multiple datasets., Applied regression, classification, and clustering algorithms with up to 85% prediction accuracy. Customer Churn Prediction Model, Developed a machine learning model using Logistic Regression and Random Forests, achieving 85% prediction accuracy., Performed data cleaning, feature selection, and visualization to extract actionable business insights.

Hobbies and Interests

  • Exploring AI and Data Science advancements
  • Reading tech blogs
  • Participating in coding platforms like Kaggle and HackerRank

Languages

English
Upper Intermediate (B2)
B2

Timeline

AI Domain Intern

Skill Vertex
05.2023 - 07.2023

B.Tech - Computer Science & Engineering

Dr. Samuel George Institute of Technology & Engineering

Intermediate - MPC

AP Model Junior College

SSC -

AP Model School

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Midde Triveni