Data Analyst - Machine Learning

Key Responsibilities :

- Analyze, clean, and transform large datasets to derive meaningful insights.

- Build, train, and deploy machine learning models using standard ML frameworks and libraries.

- Develop statistical models to support data-driven decision-making.

- Work extensively with Excel for data analytics and reporting.

- Utilize Python for data processing, feature engineering, model development, and automation.

- Collaborate with cross-functional teams to identify business requirements and deliver ML solutions.

- Apply deep learning techniques for complex problem-solving when required.

- Work with a wide variety of ML tools, platforms, and frameworks.

- Document processes, methodologies, and model performance metrics.

Required Skills & Qualifications :

- 4+ years of hands-on experience as a Data Analyst and/or ML Engineer.

- Strong proficiency in Excel for data analytics.

- Solid understanding of statistical modeling, hypothesis testing, and probability.

- Practical experience with Machine Learning algorithms, model building, and evaluation.

- Strong Python coding skills, including experience with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, etc.

- Experience with deep learning using frameworks such as TensorFlow or PyTorch.

- Familiarity with a wide range of tools used in ML development and deployment.

- Ability to work with large datasets and optimize data workflows.

Preferred (Nice-to-Have) :

- Experience with cloud ML platforms (AWS, GCP, Azure).

- Exposure to MLOps, model deployment pipelines, or automation frameworks.

- Knowledge of SQL or NoSQL databases.