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🚀 Data Analytics professional from Kolkata, India , actively driving insights at Kantar, specializing in consumer behavioral and retail performance analysis for FMCG brands. 💼 Research Manager passionate about leveraging data science for strategic decision-making, with a keen eye for detail in transforming data into actionable strategies. Formerly at NielsenIQ's Global Transformation Team as Analyst Innovation & Automation, focusing on automation and data science projects for retail measurement. 📈 Enthusiastic about Business Intelligence (BI) and crafting innovative solutions for data-driven decision-making. 🎓 Masters in Economics, undergrad in Business Management, intermediate level CMA. 🔍 Committed to driving data excellence and innovation. 🌐 Open to exciting opportunities in driving data excellence and elevating businesses to new heights! Let's connect and explore possibilities! 👋

Click here to check out my CV and learn more about my experience and skills!


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Tech Stack
Languages Python JavaScript HTML5 CSS3 LaTeX
Database PostgreSQL SQLite MongoDB
Data Analytics & Data Science Microsoft Power BI Microsoft Excel Scikit-Learn Numpy Pandas Polars Scipy spaCy
Web Frameworks Flask Streamlit
CI/CD Git Docker BitBucket
Project Management Jira Confluence Trello
IDE & Environment Visual Studio Code Spyder Jupyter Anaconda Google Colab
RPA Microsoft Power Automate

DOI Publication
DOI

Katira, Shiv. “The Implication of Blockchain Technology in the Emission Trading Scheme of Gujarat”.

DOI

Katira, Shiv, and Justin John. “A Hypothetical Testing of Privatization of Bharat Petroleum Corporation Limited and Its Future Financial Performance: An Impact on Indian Economy”.

DOI

Katira, Shiv. “A Critical Analysis of Disinvestment in Bharat Petroleum Corporation Limited: Future Financial Performance and Impact on Indian Economy”.



Applied Data Science with Python - Level 2 Python for Data Science Data Visualization Using Python Data Analysis Using Python

Shiv Katira's Projects

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This GitHub repository holds my solutions for the #8WeekSQLChallenge using PostgreSQL 16.

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