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I’m Raghav Kejriwal, a computer science professional specializing in data analytics, ML, and operational analytics. I’m currently pursuing a Master of Computer Applications (AI & ML specialization) with a strong foundation in data analysis, quality assurance, and ML model development. I have a track record of analyzing large-scale datasets, deploying ML solutions in finance and healthcare, and ensuring data integrity across critical business processes. I’m proficient in Python, scikit-learn, TensorFlow, and building end-to-end ML pipelines. I enjoy turning messy real-world data into reliable insights and scalable models, collaborating across teams to drive data-driven decisions.…I’m Raghav Kejriwal, a computer science professional specializing in data analytics, ML, and operational analytics. I’m currently pursuing a Master of Computer Applications (AI & ML specialization) with a strong foundation in data analysis, quality assurance, and ML model development. I have a track record of analyzing large-scale datasets, deploying ML solutions in finance and healthcare, and ensuring data integrity across critical business processes. I’m proficient in Python, scikit-learn, TensorFlow, and building end-to-end ML pipelines. I enjoy turning messy real-world data into reliable insights and scalable models, collaborating across teams to drive data-driven decisions.

Raghav Kejriwal

Data Scientist, AI Engineer, Data Analyst, +3

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I’m Raghav Kejriwal, a computer science professional specializing in data analytics, ML, and operational analytics. I’m currently pursuing a Master of Computer Applications (AI & ML specialization) with a strong foundation in data analysis, quality assurance, and ML model development. I have a track record of analyzing large-scale datasets, deploying ML solutions in finance and healthcare, and ensuring data integrity across critical business processes. I’m proficient in Python, scikit-learn, TensorFlow, and building end-to-end ML pipelines. I enjoy turning messy real-world data into reliable insights and scalable models, collaborating across teams to drive data-driven decisions.…I’m Raghav Kejriwal, a computer science professional specializing in data analytics, ML, and operational analytics. I’m currently pursuing a Master of Computer Applications (AI & ML specialization) with a strong foundation in data analysis, quality assurance, and ML model development. I have a track record of analyzing large-scale datasets, deploying ML solutions in finance and healthcare, and ensuring data integrity across critical business processes. I’m proficient in Python, scikit-learn, TensorFlow, and building end-to-end ML pipelines. I enjoy turning messy real-world data into reliable insights and scalable models, collaborating across teams to drive data-driven decisions.

Available to hire

I’m Raghav Kejriwal, a computer science professional specializing in data analytics, ML, and operational analytics. I’m currently pursuing a Master of Computer Applications (AI & ML specialization) with a strong foundation in data analysis, quality assurance, and ML model development. I have a track record of analyzing large-scale datasets, deploying ML solutions in finance and healthcare, and ensuring data integrity across critical business processes.

I’m proficient in Python, scikit-learn, TensorFlow, and building end-to-end ML pipelines. I enjoy turning messy real-world data into reliable insights and scalable models, collaborating across teams to drive data-driven decisions.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Work Experience

Order Administrator (Data and Operations Analytics) at ANM Services India Pvt. Ltd.

May 1, 2023 - March 1, 2025

Analysed large-scale operational datasets to identify discrepancies, trends, and process optimization opportunities; ensured data accuracy and integrity across order management systems and reporting workflows, maintaining 99%+ data quality standards; applied structured data analysis methodologies to support process reliability and rapid issue resolution; collaborated with cross-functional teams to investigate and resolve data inconsistencies and system anomalies; developed analytical frameworks for handling noisy real-world data under strict operational constraints; implemented data validation protocols that improved reporting accuracy and reduced processing errors.