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M.Sc. in Statistics | Data Scientist ( #Analytics I #ML I #R I Python I #AzureML I #PowerBI I #Cloud Computing ) | Contact: +91 9775610821 | Skype: rajibstats
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Cognizant
Data Scientist
June 16, 2026 – Present
Retail-Insights-Assistant
November 24, 2025 – November 27, 2025
The Retail Insights Assistant is a GenAI-powered solution designed to analyze large-scale retail sales data, generate automated business insights, and answer ad-hoc analytical questions in natural language. This system demonstrates a POC workflow combining data engineering, LLM integration, multi-agent orchestration, and scalable system design.
View Projectdatabricks_CI_CD
January 10, 2025 – January 13, 2025
databricks_CI_CD — GitHub repository
View Projectchat-with-your-data-solution-accelerator
June 6, 2023 – Present
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
View Projectgoogle-colab-with-GitHub
May 30, 2022 – May 31, 2022
google-colab-with-GitHub — GitHub repository
View ProjectAutoML_Azure-Google-H2o
December 1, 2019 – May 30, 2022
Automated machine learning, also referred to as automated ML, is the process of automating the time consuming, iterative tasks of machine learning model development. It allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality.
View ProjectSocial-Media-Analysis_using-R-and-Shiny
December 1, 2019 – December 1, 2019
to develop a Social Media Dashboard, a platform for extracting, storing, tabulating and analyzing social media contents streamed through Twitter, Instagram and Facebook.
View ProjectMicrosoft-Professional-Program-for-Data-Science
December 1, 2019 – December 1, 2019
Microsoft Professional Program for Data Science • Technologies: T-SQL, Microsoft Excel, Power BI, Python, R, Azure ML Studio and Service
View ProjectStock-Trading---Intelligent-financial-tool
December 1, 2019 – December 1, 2019
an intelligent Financial Prediction Model for extracting investor behavior in the USA stock market, in order to analyze institutional investors’ interests.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning. The current role as a Data Scientist at Cognizant aligns well with the target role. However, the 'experienceLevel' is listed as 0, which contradicts the current employment, suggesting a potential data inconsistency or very recent entry into the role. The diversity of projects indicates a proactive learning approach.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.