Francis Infant

Aspiring Data Scientist

Bangalore, India 75 · Very Good

About

Aspiring Data Scientist with practical experience in Python, SQL, Machine Learning, Statistical Analysis, and Data Visualization. Skilled in building end-to-end ML pipelines — including handling class imbalance with SMOTE, ensemble modeling (Random Forest, XGBoost, stacked classifiers), and hyperparameter tuning — as well as Exploratory Data Analysis, Feature Engineering, Regression, Classification, Clustering, and Model Evaluation using Pandas, NumPy, Scikit-learn, imbalanced-learn, Matplotlib, Seaborn, and Power BI. Strong analytical thinker committed to applying data-driven approaches to solve business problems and deliver measurable impact.

Skills & Expertise (30)

Machine Learning Advanced

8.5/10

Years Exp

Python Advanced

8.5/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

scikit-learn Advanced

8.0/10

Years Exp

SQL Advanced

7.5/10

Years Exp

Feature Engineering Advanced

7.5/10

Years Exp

XGBoost Advanced

7.5/10

Years Exp

NumPy Advanced

7.5/10

Years Exp

Ensemble Methods Advanced

7.0/10

Years Exp

Data-driven decision making Intermediate

7.0/10

Years Exp

Model Evaluation Intermediate

7.0/10

Years Exp

Statistical Analysis Intermediate

7.0/10

Years Exp

Stakeholder Management KPI Analysis Customer Analytics Strategic Thinking ROC-AUC Business Process Optimization Excel Jupyter Notebook GitHub Git Power BI Seaborn Matplotlib Fraud Detection Anomaly Detection Hyperparameter Tuning SMOTE MySql