Shubham Kumar

Shubham Kumar

B.Tech CSE Student · Data Analytics · Machine Learning · Web Development

Faridabad, Haryana, India

@shubham_1

0 followers

Looking for jobs Looking for internships

🎓 B.Tech in Computer Science & Engineering at Lingaya's Vidyapeeth University · Graduating 2028

About

Computer Science and Engineering student focused on data analytics, machine learning, and practical software development. Hands-on with Python, SQL, Excel, Power BI, and web development, with an interest in turning raw data into actionable business insights.

Experience

  • Data Analysis with AI Intern
    IBM SkillBuild
    Aug 2026 – Present
  • Data Analysis Intern
    Cognifyz IT Solutions Pvt. Ltd.
    2026 – 2026

Education

  • B.Tech
    Lingaya's Vidyapeeth University
    Computer Science & Engineering · Aug 2024 – Jun 2028

Skills

  • SQL <3 months
  • CSS <3 months
  • HTML <3 months
  • Python <3 months
  • Machine Learning <3 months
  • JavaScript <3 months
  • Data Cleaning <3 months
  • Feature Engineering <3 months
  • Matplotlib <3 months
  • NumPy <3 months
  • Pandas <3 months
  • Seaborn <3 months
  • Workflow Automation <3 months
  • Statistical Analysis <3 months
  • Dashboarding <3 months
  • KPI reporting <3 months

Tools / apps / platforms

  • Git <3 months
  • GitHub <3 months
  • Microsoft Excel <3 months
  • Microsoft Power BI <3 months
  • MySQL <3 months

Projects

  • Google Play Store Data Analysis
    Python, Pandas, Matplotlib

    Analyzed app data through missing-value handling, duplicate removal, rating/category analysis, free-vs-paid comparisons, EDA, and visualization.

  • Cognifyz Data Analysis
    Python, Pandas

    Built an end-to-end EDA pipeline in Python for the Cognifyz internship; documented findings for reproducibility.

  • Sales Analysis & Dashboard
    Python, SQL, Excel, Power BI

    Cleaned sales data, performed SQL and Python analysis, and built an interactive Power BI dashboard to highlight sales KPIs and regional performance.

  • Amazon Sales Data Analysis
    Python, Pandas, Matplotlib

    Performed data acquisition, cleaning, preprocessing, and EDA on a 50,000-row sales dataset; analyzed category revenue, monthly trends, and rating–revenue relationships.

  • AI-Powered Excel Anomaly Detection Agent
    Python, Pandas, NumPy, SMTP, Gemini API

    Built an automated pipeline to detect statistical anomalies in Excel business data using Z-score analysis; generated business-context summaries and automated email alerts.

Courses & certifications

  • R for Data Science: Analysis and Visualization · LinkedIn Learning · 2026
  • Object Oriented Programming using Python · Infosys Springboard · 2026
  • Deloitte Technology Job Simulation · Forage · 2025
  • CRM Domestic Voice Certification (NSQF-Level 4) · Skill India · 2024

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