Skills

Statistical Modeling & Analytics

• Regression (linear, logistic), ANOVA, hypothesis testing (z, t, F)
• Feature selection: PCA, Lasso, Ridge
• Time-series: ARIMA; forecasting workflows

Machine Learning & AI

• Ensembles: XGBoost, Random Forest, GBM
• Deep learning: PyTorch, TensorFlow, Keras
• Clustering: k-means, HDBSCAN, kNN

Generative AI & NLP

• LLM fine-tuning with PEFT (LoRA, QLoRA, IA3) and evaluation
• RAG systems, domain-specific knowledge retrieval, Q&A
• LangChain and Bedrock-style SDK patterns for generation and summarization

Programming & Data

• Languages: Python, SQL, R, C
• Libraries: pandas, NumPy, Matplotlib, scikit-learn
• Data tools: RStudio, Advanced Excel

Cloud & MLOps

• AWS: Redshift, Athena, SageMaker, Quicksight, Kinesis Firehose, IoT
• CI/CD and deployment patterns; containerization

Visualization

• Tableau, Power BI; narrative dashboards for decisions

Product, Energy, and Domain

• Product analysis and GTM insights
• Renewable energy interests: EV charging, DC-DC converters, smart energy

Certifications

• LLMOps (DeepLearning.AI)
• Multi-Agent Systems with crewAI (DeepLearning.AI)
• Data-Driven Product Management (LinkedIn)