Programming & Data
Python, SQL, Pandas, NumPy
YOUR FULL NAME
Fresher • B.Tech AI & Data Science
City, State
your.email@example.com
+91-90000-00000
linkedin.com/in/yourprofile
github.com/yourhandle
your-portfolio.example.com
Summary
Entry-level AI & Data Science graduate. Strong in Python, SQL, statistics, and ML. Projects in EDA, supervised learning, and time series. Comfortable with data pipelines, experiment tracking, and communicating results. Seeking Data Analyst, ML Engineer, or Data Scientist roles.
Education
B.Tech in Artificial Intelligence and Data Science • Your University
Aug 2021 – May 2025 • City, State
Skills
ML & Modeling
scikit-learn, TensorFlow, PyTorch, XGBoost
Visualization
Matplotlib, Plotly, Seaborn
Data Ops
Git, Docker, Linux, Jupyter, FastAPI
Topics
EDA, Feature Engineering, Time Series, Model Evaluation
Projects
Retail Sales Forecasting •
Python, Pandas, ARIMA/Prophet
- Built time-series models with cross-validation; reduced MAPE by 12% vs baseline.
- Automated data prep and holiday features; produced weekly forecast plots.
Customer Churn Classification •
scikit-learn, XGBoost
- Engineered features from product usage and payments; ROC-AUC 0.89.
- Performed SHAP analysis to explain drivers of churn to stakeholders.
NLP News Topic Classifier •
TF-IDF, Linear SVM
- Preprocessed headlines; macro-F1 0.86 with stratified CV.
- Logged experiments and metrics for reproducibility.
Internships / Experience
Data Science Intern • Company Name
Jun 2024 – Aug 2024 • Remote
- Built EDA reports and dashboards for weekly product metrics.
- Developed churn model POC; packaged as REST API with FastAPI.
Achievements
- Kaggle Bronze medal equivalent in a campus competition.
- Solved 150+ SQL and Python challenges.
Certifications
- Google Data Analytics — 2024
- Machine Learning Specialization — 2024