Stack
Available for Projects
Stack
Available for Projects
Stack
Available for Projects
I work with a practical stack of tools that support every stage of the data science lifecycle — from data wrangling and modeling to visualization, deployment, and system design.
Core Programming & Data
Python
I use Python as my primary language for data analysis, machine learning modeling, and simple workflow automation.
Python
I use Python as my primary language for data analysis, machine learning modeling, and simple workflow automation.
Python
I use Python as my primary language for data analysis, machine learning modeling, and simple workflow automation.
R
I’ve used R for statistical modeling and exploratory analysis during academic projects.
R
I’ve used R for statistical modeling and exploratory analysis during academic projects.
R
I’ve used R for statistical modeling and exploratory analysis during academic projects.
SQL
I regularly use SQL for querying large datasets and transforming relational data structures.
SQL
I regularly use SQL for querying large datasets and transforming relational data structures.
SQL
I regularly use SQL for querying large datasets and transforming relational data structures.
Pandas
I rely on Pandas for efficient data wrangling, cleaning, and feature engineering across most projects.
Pandas
I rely on Pandas for efficient data wrangling, cleaning, and feature engineering across most projects.
Pandas
I rely on Pandas for efficient data wrangling, cleaning, and feature engineering across most projects.
NumPy
I use NumPy to perform fast numerical operations and manage array-based computations.
NumPy
I use NumPy to perform fast numerical operations and manage array-based computations.
NumPy
I use NumPy to perform fast numerical operations and manage array-based computations.
Modeling & Statistical Tools
Scikit-learn
I apply Scikit-learn for building and evaluating classical ML models like regression and classification.
Scikit-learn
I apply Scikit-learn for building and evaluating classical ML models like regression and classification.
Scikit-learn
I apply Scikit-learn for building and evaluating classical ML models like regression and classification.
GLM
I’ve applied GLM techniques to interpret and generalize relationships in structured data.
GLM
I’ve applied GLM techniques to interpret and generalize relationships in structured data.
GLM
I’ve applied GLM techniques to interpret and generalize relationships in structured data.
Deep Learning / ML Libraries
Tensorflow
I trained deep learning models using TensorFlow for image classification and NLP workflows.
Tensorflow
I trained deep learning models using TensorFlow for image classification and NLP workflows.
Tensorflow
I trained deep learning models using TensorFlow for image classification and NLP workflows.
YOLO
I used YOLO to detect and classify products in my Smart Cart object detection project.
YOLO
I used YOLO to detect and classify products in my Smart Cart object detection project.
YOLO
I used YOLO to detect and classify products in my Smart Cart object detection project.
Visualization & Dashboards
Matplotlib
I use Matplotlib to plot visual summaries during exploratory data analysis phases.
Matplotlib
I use Matplotlib to plot visual summaries during exploratory data analysis phases.
Matplotlib
I use Matplotlib to plot visual summaries during exploratory data analysis phases.
Tableau
I used Tableau to create business intelligence dashboards and summarize data trends visually.
Tableau
I used Tableau to create business intelligence dashboards and summarize data trends visually.
Tableau
I used Tableau to create business intelligence dashboards and summarize data trends visually.
Deployment & Infrastructure
Docker
I use Docker to containerize ML projects and streamline deployment environments.
Docker
I use Docker to containerize ML projects and streamline deployment environments.
Docker
I use Docker to containerize ML projects and streamline deployment environments.
AWS
I stored large datasets and trained models on AWS during cloud-based project development.
AWS
I stored large datasets and trained models on AWS during cloud-based project development.
AWS
I stored large datasets and trained models on AWS during cloud-based project development.