Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
Data Science Advanced: Data Analyst
Job requirements
Data System Analyst (DSA): Key Responsibilities: • Develop interactive dashboards and reports using Tableau/PowerBI/Graphana to support business decision-making. • Collaborate with developers, quality assurance, operations, IT, and business teams on cross-functional projects, from requirements gathering to testing and deployment. • Engage with stakeholders to understand business requirements and provide data-driven insights. • Understand data tables/attributes, ensure data accuracy, consistency, and integrity across reports and dashboards. • Work independently, demonstrating strong problem-solving, judgment, and decision-making skills. Business System Analyst (BSA): Key Responsibilities: • Working with business users to understand their requirements, provide system solutions for sophisticated and exciting business problems • Working on multiple internal Projects as a team member or lead to implement new functionalities and improve existing functionalities including articulating, analyzing requirements, and translating them into effective solutions, in Production Planning, Execution, Inventory Management and associated functions. • Responsible for SAP PP / MM configuration and support the processes already implemented. • Collaborate heavily with onsite-offshore resources including Multi-functional, BSAs, DEV, technical team members to prioritize, co-ordinate and architect/ Implement the solution. • Prepare and conduct Unit Testing and User Acceptance Testing scripts. • Work with 3rd party partners, including contract-manufacturers. • Build Training documentation and impart training to end users/team members & relevant partners, as necessary.
