---
title: "Daya Shankar - AI/ML | Data Science | Python (NumPy, Pandas) | Data Visualization (Matplotlib, Seaborn) | Scikit-Learn | PyTorch | MySQL in Rewari | Tal"
description: "Meet Daya Shankar, AI/ML | Data Science | Python (NumPy, Pandas) | Data Visualization (Matplotlib, Seaborn) | Scikit-Learn | PyTorch | MySQL based in Rewari."
image: "https://tal.club/meet/daya/share-image"
---

# Daya Shankar on Tal

## Headline

AI/ML \| Data Science \| Python \(NumPy, Pandas\) \| Data Visualization \(Matplotlib, Seaborn\) \| Scikit\-Learn \| PyTorch \| MySQL

## About

I am a Final\-year B\.Tech \(Computer Science & Engineering\) student at World College of Technology and Management \(WCTM\), affiliated with Maharshi Dayanand University \(MDU\), Rohtak\. I am passionate about solving complex real\-world problems using Data Science and Deep Learning\. With a strong foundation in Python and ML algorithms, I am eager to contribute to a data\-driven team as an intern or entry\-level professional\. Target Roles: Machine Learning Intern / AI Intern Data Science Intern / Junior Data Scientist Data Analyst Intern Entry\-level AI Engineer Technical Skills: Languages: Python \(OOPs\), SQL \(MySQL\) Machine Learning & AI: Artificial Neural Networks \(ANN\), XGBoost, Supervised Learning, Regularization, Feature Scaling Libraries: PyTorch, Scikit\-Learn, Pandas, NumPy Data Visualization: Seaborn, Matplotlib Tools & Platforms: Git/GitHub, Google Colab, Streamlit, PyCharm Key Projects: 1\.Smart Supply Chain Shipment Tracker: Developed an end\-to\-end predictive model using XGBoost to identify potential delivery delays and optimize logistics\. 2\.Customer Churn Prediction: Built a classification system with a Streamlit dashboard to help businesses visualize and reduce customer attrition\. 3\.Netflix Exploratory Data Analysis \(EDA\): Performed deep data visualization to extract insights on global content trends using Pandas and Seaborn\.

## Location

Rewari

## Education

Bachelor of Technology, Computer Engineering, Maharshi Dayanand University \(MDU\), Rohtak

Bachelor of Technology, Computer Engineering, Maharshi Dayanand University\(MDU\)

[View the original profile](https://tal.club/meet/daya)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/daya#person",
      "name": "Daya Shankar",
      "url": "https://tal.club/meet/daya",
      "image": "https://tal.club/meet/daya/profile-photo.jpg",
      "description": "Meet Daya Shankar, AI/ML | Data Science | Python (NumPy, Pandas) | Data Visualization (Matplotlib, Seaborn) | Scikit-Learn | PyTorch | MySQL based in Rewari.",
      "jobTitle": "AI/ML | Data Science | Python (NumPy, Pandas) | Data Visualization (Matplotlib, Seaborn) | Scikit-Learn | PyTorch | MySQL",
      "homeLocation": {
        "@type": "Place",
        "name": "Rewari"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Maharshi Dayanand University (MDU), Rohtak"
        },
        {
          "@type": "EducationalOrganization",
          "name": "Maharshi Dayanand University(MDU)"
        }
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/daya#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/daya#webpage",
      "url": "https://tal.club/meet/daya",
      "name": "Daya Shankar on Tal",
      "description": "Meet Daya Shankar, AI/ML | Data Science | Python (NumPy, Pandas) | Data Visualization (Matplotlib, Seaborn) | Scikit-Learn | PyTorch | MySQL based in Rewari.",
      "dateModified": "2026-07-18T17:20:22.450Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/daya#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/daya/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/daya/profile-photo.jpg",
        "caption": "Daya Shankar profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```