Main Responsibilities:
- Participating in the design and development of end-to-end Data Science analytics solutions using associated technologies
- Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output
- Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets.
Requirements:
- Professional experience in the development of web applications such as WebApps and REST APIs with JavaScript frameoworks and with Python
- Experience with PowerApps and PowerAutomate
- Experience with data visualization techniques such as PowerBI etc.
- Experience in Machine Learning especially in the field of supervised machine learning and classification (create, train, apply classifier and evaluate results)
- Experience in regular expressions and natural language processing creating preprocessing pipelines
- Advance knowledge in Python programming and experiences in Data Science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, re, Plotly, Matplotlib, huggingface, transformer, openai, Langchain)
- Familiar with and comfortable using the latest technological tools, including ChatGPT
- Working experience with LLMs (incorporate LLMs in WebApps to solve business tasks) and creating prompts for various tasks utilizing Langchain
- Quick and independent familiarization with new topics
- Strong troubleshooting and problem-solving skills
- Applying continuous independent judgement while collaborating with others team members globally.
- Education/Qualification - Engineering with Post Graduation in Data Science