Technical Skills & Expertise
ā Back to Home
Programming Languages
Iām proficient in multiple programming languages with varying degrees of expertise:
- Python - Advanced proficiency for data science, machine learning, and automation
- R - Statistical analysis, data visualization, and academic research
- SQL - Database querying, management, and optimization
- JavaScript - Web development and interactive visualizations
- Java & C++ - Object-oriented programming and system development
- SAS - Statistical analysis for enterprise applications
- HTML/JSON - Web markup and data interchange formats
Machine Learning & Artificial Intelligence
- Frameworks & Libraries: Scikit-Learn, TensorFlow, Keras, PyTorch, NLTK, Pandas
- Techniques:
- Regression (Linear, Logistic, Decision Trees)
- Classification (Random Forest, SVM, Neural Networks)
- Clustering (K-Means, Hierarchical, DBSCAN)
- Natural Language Processing (NLU/NLG)
- Deep Learning (CNN, RNN, Transformers)
- Generative AI: Large Language Models, OpenAI APIs, Groq, HuggingFace
Data Science & Analysis
- Data Processing: Data wrangling, cleaning, feature engineering, ETL pipelines
- Exploratory Analysis: Statistical testing, hypothesis validation, distribution analysis
- Modeling: Model selection, hyperparameter tuning, cross-validation
- Project Management: Experimental design, requirements analysis, client communication
- Time Series: Forecasting, trend analysis, seasonal decomposition
Database Management
- Relational Databases: SQL, MySQL, PostgreSQL
- NoSQL Databases: MongoDB, Cassandra
- Data Warehousing: Data modeling, schema design, optimization
- Query Optimization: Performance tuning, indexing strategies
Data Visualization & Presentation
- Tools: Tableau, Power BI, ggplot2, Matplotlib, Seaborn
- Web Visualization: D3.js, Three.js, P5.js, Processing
- Dashboard Development: Interactive data dashboards for business intelligence
- Communication: Translating technical results for non-technical stakeholders
Cloud Computing & DevOps
- Cloud Platforms: AWS (EC2, S3, Lambda), Google Cloud, Microsoft Azure
- Version Control: Git, GitHub, collaborative development
- Containerization: Docker, container orchestration
- Deployment: CI/CD pipelines, application deployment, monitoring
IT Support & System Administration
- Operating Systems: Windows & macOS administration
- Enterprise Software: Microsoft Office 365, Active Directory
- Security: Network security, multi-factor authentication, access management
- Technical Support: Troubleshooting, knowledge base development, customer service
Soft Skills
- Communication: Translating technical concepts to business stakeholders
- Problem-Solving: Analytical thinking, creative solutions
- Cross-Cultural Awareness: Global perspective from international experiences
- Leadership: Team management, project coordination
- Adaptability: Quick learning of new technologies and domains