I possess advanced proficiency in data analysis, visualization, and machine learning, with expertise in Python, R, and SQL. My skills include data wrangling, predictive modeling, and web scraping, complemented by experience with tools like PowerBI, Tableau, and Git. I am a strong communicator and collaborator, known for my ability to translate complex technical concepts for diverse audiences and continuously expand my technical skill set.
Coding Languages
Python
R
SQL
Bash
HTML
C++
YAML
Data Science Concepts
- Computer Vision
- Data Wrangling
- Data Mining
- Data Structures
- Data Visualizations
- Deep Learning
- Exploratory Data Analysis
- Hyperparameter Tuning
Cont.
- Machine Learning
- Neural Networks
- Pattern Recognition
- Predictive Modeling
- Regression Analysis
- Supervised Learning
- Time-Series Analysis
- Unsupervised Learning
Developer Tools
- FileZilla
- GitHub
- GitLab
- Visual Studio Code
Visualization Tools
- D3.js
- PowerBI
- Streamlit
- Tableau
Python Libraries
- CatBoost
- Keras
- LightGBM
- Matplotlib
- NLTK
- NumPy
- PIL
- Pandas
- Plotly
- PyTorch
- SciPy
- Scikit-Learn
- Seaborn
- TensorFlow
- XGBoost
- cv2
- datetime
- imblearn
- itertools
- keras_tuner
- numpy
- os
- plotly
- random
R Libraries
- caret
- cvms
- dplyr
- e1071
- ggplot2
- ISLR
- ISLR2
- MASS
- rethinking
- reshape
- reshape2
- sqldf
- tidyr
- tree