Summary
Work History
Education
Skills
Timeline
PROJECTS
DECLARATION
CAREER BREAK – SKILL DEVELOPMENT & TRANSITION
Generic

Geetha

Chennai

Summary

Aspiring Machine Learning Intern with a strong engineering background and hands-on experience in mechanical design and production engineering. Currently developing skills in Python, data analysis, and machine learning techniques to address real-world challenges. Seeking an internship that promotes growth while contributing innovative solutions in the AI/ML domain. Committed to leveraging technical expertise and a passion for learning to make a meaningful impact.

Work History

Mechanical Design Engineer

Die Tech India Private Limted
  • Worked on engineering design and analysis tasks requiring precision and structured problem-solving.
  • Prepared and reviewed technical drawings and documentation.
  • Collaborated with cross-functional teams to meet design and project requirements.
  • Developed strong analytical thinking, attention to detail, and engineering discipline.
  • Experience: 3 Years

Production Executive Engineer

  • Managed and monitored production processes to ensure quality and efficiency.
  • Coordinated with teams to resolve operational and process-related issues.
  • Gained hands-on exposure to manufacturing workflows, quality checks, and timeline.
  • Experience: ~1 Year

Education

Bachelor of Engineering (B.E.) - Electronics and Communication Engineering

Anna University
Trichirapalli
05-2012

Skills

  • Programming: Python
  • Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
  • Machine Learning: Linear Regression, Random Forest, basic Clustering
  • Data Handling: EDA, Data Cleaning, Feature Encoding, Feature Scaling
  • Model Evaluation: R² Score, Train–Test Analysis
  • Tools: Jupyter Notebook, Git (basic), VS Code

Timeline

Production Executive Engineer

Mechanical Design Engineer

Die Tech India Private Limted

Bachelor of Engineering (B.E.) - Electronics and Communication Engineering

Anna University

PROJECTS

Insurance Charges Prediction | Machine Learning Project, Built a regression model to predict insurance charges using features such as age, BMI, smoking status, and number of children., Performed Exploratory Data Analysis (EDA), outlier analysis, and feature encoding (One-Hot Encoding)., Implemented data scaling and trained models using Linear Regression and Random Forest., Applied GridSearchCV for hyperparameter tuning to improve performance., Results Achieved: Train R²: ~0.89, Test R²: ~0.87, Tools: Python, Pandas, Scikit-learn, Matplotlib

DECLARATION

I hereby declare that the above information is true and correct to the best of my knowledge. Geetha M

CAREER BREAK – SKILL DEVELOPMENT & TRANSITION

  • Took a planned career break to manage personal responsibilities and reassess long-term career goals.
  • Utilized this period to upskill in Data Science and Machine Learning.
  • Built strong fundamentals in Python, statistics, data preprocessing, and ML concepts through hands-on projects.
  • Now fully prepared and committed to restarting my professional career in AI/ML.
Geetha