Prayank Kumar

Data | Analytics | Visualization

Data Engineer with experience in building and managing data pipelines using SQL and Azure. Skilled in transforming raw data into structured, reliable datasets for reporting and analytics. Experienced in developing dashboards and data solutions that support informed business decisions. Strong foundation in cloud platforms, database systems, and data processing workflows. Focused on creating scalable, efficient, and practical data solutions.

Work Experience

  • Data Engineer Trainee

    • Insight Enterprises, Noida

    Apr 2026 - Present

  • Data Engineer Intern

    • Vision Group, Noida

    June 2025 - Aug 2025

    Designed and maintained ETL pipelines using MS SQL and Azure Data Factory to automate data processing. Built Power BI dashboards by integrating multiple data sources and worked with clients to deliver data-driven insights.

  • Data Science Intern

    • CodSoft, Kolkata

    May 2025 - June 2025

    Built regression models for movie ratings and retail sales forecasting, and classification models for fraud detection. Utilised data preprocessing, feature engineering, and model evaluation techniques.

  • Marketing Data Analyst

    • FuzeMee, USA

    May 2023 - June 2023

    Collected and analysed user engagement data to access the performance of marketing campaign across digital platforms. Designed a data-driven marketing strategy using A/B testing and user feedback to improve app visibility & engagement.

Projects

Caption Generation using Machine Learning

This research paper aims at reviewing the area of machine learning based caption generation with reference to computer vision and natural language processing. It includes a comparison of the error rates of CNNs, RNNs, and Transformer models in the process of generating timely and descriptive captions of images.

Data Privacy and Security in Database Systems

Project report exploring the topic of data privacy and security in database systems, highlighting the challenges, strategies, and best practices involved in protecting sensitive information from unauthorized access, data breaches and privacy violations.

Certifications

SQL for Data Science

University of California, Davis

Python for Data Science

Indian Institute of Technology, Madras

Data Science Foundations

IBM

Elements of AI

University of Helsinki

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