Data Science Intern

As a Data Scientist at our company, you will be responsible for the following tasks: - Work on data collection, cleaning, and preprocessing - Perform exploratory data analysis (EDA) to identify patterns and trends - Build, train, and evaluate predictive models (regression, classification, forecasting) - Support data modeling activities including feature engineering and model optimization - Assist in deploying or integrating basic ML/AI models into applications or workflows - Work with Python, SQL, and libraries like Pandas, NumPy, Scikit-learn - Prepare dashboards, reports, and insights for business decision-making - Collaborate with cross-functional teams to solve data-driven problems The qualifications required for this role are as follows: - Strong basics in Python and SQL - Understanding of statistics and machine learning concepts - Knowledge of predictive modeling techniques - Familiarity with data visualization tools (optional but good to have) - Analytical thinking and problem-solving ability Additionally, it would be good to have the following skills: - Exposure to time-series forecasting, NLP, or deep learning - Experience with model evaluation metrics (accuracy, precision, recall, RMSE) - Academic or personal projects in ML/AI or prediction models As a Data Scientist at our company, you will be responsible for the following tasks: - Work on data collection, cleaning, and preprocessing - Perform exploratory data analysis (EDA) to identify patterns and trends - Build, train, and evaluate predictive models (regression, classification, forecasting) - Support data modeling activities including feature engineering and model optimization - Assist in deploying or integrating basic ML/AI models into applications or workflows - Work with Python, SQL, and libraries like Pandas, NumPy, Scikit-learn - Prepare dashboards, reports, and insights for business decision-making - Collaborate with cross-functional teams to solve data-driven problems The qualifications required for this role are as follows: - Strong basics in Python and SQL - Understanding of statistics and machine learning concepts - Knowledge of predictive modeling techniques - Familiarity with data visualization tools (optional but good to have) - Analytical thinking and problem-solving ability Additionally, it would be good to have the following skills: - Exposure to time-series forecasting, NLP, or deep learning - Experience with model evaluation metrics (accuracy, precision, recall, RMSE) - Academic or personal projects in ML/AI or prediction models