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- 2+ years Python/Data Science skillset
- 5 years of experience with building data pipelines, data processing and reporting using Python
- Python libraries numpy, Pandas, matplotlib, seaborn, Scikitlearn Data Science Data Manipulation, Wrangling, time series forecasting etc prior experience in any data science project building data pipelines, data processing and reporting
- Experience of using Agile based development methodologies
- Good understanding software development and Enterprise architecture patterns
- Hands-on experience with open source big data technologies
- Data processing experience with Streaming, data wrangling, crawling using Python libraries
- Expertise and understanding of common methods in data transformation
- Ability to understand API Specs, determine relevant API calls,
- ETL i.e. Extract->Transform->Load data and implement SQL friendly data structures
- Excellent Python programming and debugging skills. (Refer to Pytho JD given below) - Proficiency with SQL, relational databases, & non-relational databases - Passion for API design and software architecture. - Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners - Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems. - Experience with modern large language model (Chat GPT/BERT) and applications. - Expertise with performance optimization. - Experience or knowledge in public cloud AWS services - S3, Lambda. - Familiarity with distributed databases, such as Snowflake, Oracle. - Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
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