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
