Data Science and Machine Learning

Experience: 7+ years Location: Chennai (Hybrid) Key Skills: Primary Skills: Python, Statistics, SQL and Machine Learning Core Competency Areas: Predictive ModellingPrescriptive ModellingData MiningAdvanced AnalyticsML Algorithms & ExperimentationData Loading & Augmentation Key Responsibilities 1. Understand business requirements and analyse datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making. 2. Design and implement data analysis and ML models, hypotheses, algorithms, and experiments to support data-driven decision-making. 3. Apply various analytics techniques like data mining, predictive modelling, prescriptive modelling, math, statistics, and machine learning models and algorithms to analyse data and uncover meaningful patterns, relationships, and trends. 4. Design efficient data loading, data augmentation, and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. 5. Research, study, and stay updated in the domain of data science, machine learning, and analytics tools and techniques, and continuously identify avenues for enhancing analysis efficiency, accuracy, and robustness. Interested candidates kindly share your resume with gopinath.sonaiyan@flyerssoft.com Experience: 7+ years Location: Chennai (Hybrid) Key Skills: Primary Skills: Python, Statistics, SQL and Machine Learning Core Competency Areas: Predictive ModellingPrescriptive ModellingData MiningAdvanced AnalyticsML Algorithms & ExperimentationData Loading & Augmentation Key Responsibilities 1. Understand business requirements and analyse datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making. 2. Design and implement data analysis and ML models, hypotheses, algorithms, and experiments to support data-driven decision-making. 3. Apply various analytics techniques like data mining, predictive modelling, prescriptive modelling, math, statistics, and machine learning models and algorithms to analyse data and uncover meaningful patterns, relationships, and trends. 4. Design efficient data loading, data augmentation, and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. 5. Research, study, and stay updated in the domain of data science, machine learning, and analytics tools and techniques, and continuously identify avenues for enhancing analysis efficiency, accuracy, and robustness. Interested candidates kindly share your resume with gopinath.sonaiyan@flyerssoft.com