Your Name
Junior Machine Learning Engineer / AI Engineer Trainee
City, India · +91 98XXX XXXXX · your.name@email.com · linkedin.com/in/yourname · github.com/yourname
Professional Summary
MCA graduate and aspiring Machine Learning Engineer with hands on projects in Python, SQL and scikit-learn. Built and deployed a loan default classification model and an LLM powered document Q&A app. Strong foundation in statistics, data cleaning and model evaluation, with a habit of shipping finished, documented work on GitHub.
Skills
- Programming: Python, SQL, Git, GitHub, Jupyter
- Data & ML: Pandas, NumPy, scikit-learn, Machine Learning, Classification, Regression, Data Cleaning, Feature Engineering, Model Evaluation (precision, recall, F1)
- Statistics: Descriptive Statistics, Probability, Hypothesis Testing
- AI & Tools: LLM APIs, Prompt Engineering, Streamlit, Data Visualization (Matplotlib, Seaborn)
Projects
Loan Default Prediction · Python, scikit-learn, Streamlit github.com/yourname/LoanDefault
- Trained Logistic Regression and Random Forest Classification models on 30,000 loan records; improved recall on defaults from 0.41 (baseline) to 0.74 at 0.68 precision.
- Handled missing values, outliers and class imbalance; documented every Data Cleaning decision in the README.
- Deployed an interactive Streamlit demo used by 120+ visitors from LinkedIn.
PDF Question Answering Bot · Python, LLM API, Embeddings github.com/yourname/PdfQA
- Built an LLM app that answers questions from uploaded PDFs with source citations, using chunking and embeddings.
- Wrote a 25 question evaluation set; reduced unsupported answers from 9 to 2 by adding a 'not found' rule to the prompt.
Bengaluru Restaurant Analysis · Pandas, SQL github.com/yourname/RestaurantAnalysis
- Cleaned 50,000 restaurant records with Pandas and NumPy and answered 6 business questions with SQL and groupby analysis.
- Showed with median based Statistics that cost for two drives ratings less than delivery availability.
Professional Experience
Data Analyst Intern, Contoso Retail Pvt. Ltd., Pune Jan 2025 to Jun 2025
- Automated a weekly sales report with Python and SQL, cutting preparation time from 4 hours to 20 minutes.
- Built a dashboard tracking 12 KPIs across 40 stores, used in weekly regional reviews.
Education
Master of Computer Applications (MCA), Your University · 2025 · CGPA 8.1
Bachelor of Computer Applications (BCA), Your College · 2023
Certifications
- Machine Learning Specialization, DeepLearning.AI (Coursera)
- Google Machine Learning Crash Course