k-means, Predictive Analytics, Pyspark, Random Forest, Deep Learning, Tensorflow, Data Science, XGBoost, Data Visualization, Databricks, Keras, Clustering, Python, ML algorithms, statistical models, HCP payer patient analytics, AdaBoost, lookalike modelling, Segmentation, commercial pharmaceutical analytics, Reporting

google sheets , Sql, Excel, historical VaR, crypto exchange, trading risk, derivatives risk, funding basis, Market Risk, liquidation, scenario stress testing, mark index construction, drawdowns, margining

Python, Sql, portfolio performance analysis, credit decisioning, first-party fraud risk management

vectorization , Apis, Microservices, Nlp, Docker, Python Programming, Rest Apis, Etl, LangChain, MLOps toolchains, GPT embeddings, vector search, agentic AI, LLMs, Azure OpenAI models, CI CD, Transformation, prompt engineering, LangGraph, data ingestion, RAG pipelines

data engineering , Tableau, Dashboarding, Sql, Advanced Analytics, Excel, Segmentation, Incentive Compensation, Targeting, Pharma Commercial Analytics, Patient Analytics, AI ML use cases, sales force effectiveness, CRM

Sql, ELT, Etl, Query Optimization, Data Modeling, Machine Learning Workflows, Data Mart Redesign, Data Pipelines for ML

Sql, Python, Actuarial tools

Python, Github, Typescript, LLM APIs, LangChain, AutoGPT, AI-native development environments