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Responsibilities:
● Assist in the collection, cleaning, and preprocessing of large datasets related to fitness, nutrition, and mental wellness.
● Conduct exploratory data analysis (EDA) to identify trends and patterns that can drive product and service improvements.
● Develop, implement, and evaluate machine learning models to enhance user experience and engagement.
● Collaborate with cross-functional teams to understand business requirements and provide data-driven insights.
● Create visualizations and reports to effectively communicate findings to stakeholders.
● Stay up-to-date with the latest industry trends, tools, and techniques in data science and health analytics.
Requirements:
● Strong programming skills in Python or R.
● Experience with data manipulation and analysis using libraries such as pandas, NumPy, and scikit-learn.
● Familiarity with machine learning algorithms and statistical methods.
● Proficiency in data visualization tools like Matplotlib, Seaborn, or Tableau.
● Strong analytical and problem-solving skills.
● Excellent communication and teamwork abilities.
● Understanding of the health and wellness industry.
● Experience with big data technologies such as Hadoop or Spark.
● Knowledge of deep learning frameworks like TensorFlow or PyTorch.
● Familiarity with cloud platforms such as AWS, Google Cloud, or Azur
Eligibility Criteria:
1)Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
2)Year of Passing: 2024,2025,2026
Location: Bangalore