§ About 4 to 6 years of experience Experienced as Data Analyst using latest tools

Skill Requirements:

– Must have excellent knowledge and programming capability using Python(3.x) for time series analysis and Machine Learning – Pandas, Numpy, ScikIt Learn, Tensor flow, and Keras

• Familiarity with linear and non-linear regression models and time-series forecasting models and libraries in python (e.g. scikit-learn, Xgboost, lightgbm, statsmodels).
• Experience in building model using statistic techniques such as Time Series, Statistical Modelling, Predictive Analytics, Forecasting and Variance Analysis
• Skilled in developing and deploying machine learning models and solutions, analytical problem-solving, pattern recognition, and predictive modeling with expertise in PySpark and Python.
• Understanding of data structures, data modeling, and software architecture.

– Solid written and verbal communication skills – Ability to learn and apply new tools and applications

§ About 4 to 6 years of experience Experienced as Data Analyst using latest tools

Skill Requirements:

– Must have excellent knowledge and programming capability using Python(3.x) for time series analysis and Machine Learning – Pandas, Numpy, ScikIt Learn, Tensor flow, and Keras

• Familiarity with linear and non-linear regression models and time-series forecasting models and libraries in python (e.g. scikit-learn, Xgboost, lightgbm, statsmodels).
• Experience in building model using statistic techniques such as Time Series, Statistical Modelling, Predictive Analytics, Forecasting and Variance Analysis
• Skilled in developing and deploying machine learning models and solutions, analytical problem-solving, pattern recognition, and predictive modeling with expertise in PySpark and Python.
• Understanding of data structures, data modeling, and software architecture.

– Solid written and verbal communication skills – Ability to learn and apply new tools and applications