Data Analysis Expert
6 days ago
We are seeking a highly skilled and motivated Data Analyst with 5+ years of experience in applying advanced statistical techniques to real-world problems.
Key Responsibilities:
- Act as a senior data analyst for data handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data.
- Uses predictive modelling, statistics, trend analysis, and other data analysis techniques to explore data and answer specific research questions.
- Design, develop, and implement end-to-end data solutions using structured and unstructured data.
- Develop executive presentations to present analytical insights derived from data analysis.
- Flexible to work on any problem statement in the space of AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.).
- Must have a business problem understanding specifically from the domain of Automobile, Manufacturing, E-commerce, Aviation & digital things.
- Ability to deal well with ambiguity and act with autonomy.
- Collaborates with the team to improve the effectiveness of computational models through data and feedback from stakeholders.
- Supports development of machine learning models with guidance from senior coworkers.
- Supports and mentors junior data science team members, as needed.
Skills:
- Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques.
- Hands-on experience with Generative AI models and an understanding of multi-modal neural networks and Transformer architectures.
- Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, TensorFlow, PyTorch, etc.).
- Strong knowledge of SQL-based and NoSQL databases (MySQL, PostgreSQL, Oracle, MongoDB).
- Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc.
- Working experience with Big Data technologies – HDFS, Spark, Hive, Sqoop, MapReduce.
- Good understanding of cloud platforms (AWS, Azure, or GCP) – any hands-on experience is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable.
Education:
- A bachelor's degree in computer science, computer engineering, information technology, or a related field is typically the minimum requirement. A master's degree in data science, or a related field for advanced roles is preferred.
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