data engineering , Large Language Models (LLMs), Machine Learning, Sql, Deep Learning, Tensorflow, Numpy, Pandas, Azure, Python, AWS, Agile SDLC, scikit-learn, Data Pipelines, Relational Databases, Cloud-based Data Architecture

causal inference , Hadoop, Power Bi, Tableau, Clustering, Sql, Hive, Spark, Statistical Inference, Python, Regression, unsupervised machine learning, Classification, Statistical Modeling, Experimental Design

Python Programming, Sql, Cloud deployment, ML Ops, Model deployment, Machine learning models

snowflake , Power Bi, Tableau, Sql, AI tools, Dataiku, enterprise BI and data platforms

Bi Tools, Sql, Geo-restrictions, Compliance constraints, User activation growth strategies, gamification, a/b testing, Task systems, Viral growth features, Campaign planning and execution, Kyc, Tiering

Data Analytics, Machine Learning, product documentation, data pipelines, AI platforms

Enterprise Software, Data Analytics, Dashboards, mobile applications, Erp, Iot, digital tools, Gis, plantation management software

card acquiring , Prototyping, Aml, Dashboards, Sql, Payments, Go-to-market, Take-rate economics, Disputes, Capture, Reconciliation, interchange, KYB, Authorisation, PS Act obligations, Issuing economics, AI tools, Sanctions Screening, Underwriting, Multi-jurisdiction licensing, Chargeback resolution, Scheme rules, Product management, Settlement, Risk Compliance, Product Design, Cross-border payments, Transaction limits

software engineering practices , Tensorflow, Devops, Pandas, Deep Learning, Pytorch, Version Control, Neural Networks, Machine Learning Algorithms, Keras, Data Integration, Agile Methodologies, Decision Trees, Numpy, Python, Apis, scikit-learn, LLMs, Bayesian techniques, population-based meta-heuristic optimization methods, GenAI, ensemble methods, statistical analysis techniques, ML Ops practices, Regression, Classification, validation methods, time-series, Data and Cloud environments

regression models , snowflake , Power Bi, Tableau, Redshift, Sql, Quicksight, Time Series Analysis, Decision Trees, Spark, Databricks, Azure, Python, AWS, Gradient Boosting Models, Clustering and Segmentation, Random Forests, Recommendation Systems, Customer Propensity Modeling