Capabilities

Skills

I’ve developed these skills in data science and machine learning through coursework and personal projects.

Python Programming

Advanced proficiency in Python for statistical analysis, machine learning, and automation.

NumPyPandasScikit-learnStatsmodels

Machine Learning

Building and evaluating ML models for statistical and applied data problems.

RegressionClassificationClusteringFeature Engineering

Data Visualization

Creating visuals that make findings clear and decision-ready.

MatplotlibSeabornPlotlyTableau

Computer Vision

Applying visual intelligence techniques for image-based tasks.

OpenCVImage ClassificationObject DetectionCNNs

Deep Learning

Using neural network frameworks to solve complex predictive tasks.

TensorFlowKerasPyTorch

Natural Language Processing

Working with text data for classification, sentiment, and representation learning.

Text ClassificationSentiment AnalysisWord EmbeddingsTransformers

Data Wrangling

Cleaning and preparing raw data for robust analysis.

PandasSQLExcel

Statistical Analysis

Probability & InferenceHypothesis TestingRegression AnalysisTime Series AnalysisExperimental Design

Statistical Software

MinitabSPSS
R ProgrammingPython (Stats)MinitabSPSS