About Me

Passionate and dedicated Master of Data Science student at CHRIST (Deemed to be University) with a keen interest in Machine Learning and Data Analytics. I am driven by the potential of leveraging data to extract valuable insights and make informed decisions. Throughout my academic journey, I have gained a solid foundation in statistics and programming languages such as Python, HTML, and CSS. I have also completed projects focused on predictive modeling, web development using Django, and statistical analysis.

I am open to internship opportunities, research collaborations, and industry networking. Feel free to reach out to discuss how we can work together to leverage data for meaningful insights and positive outcomes. Let's connect and explore the exciting possibilities at the intersection of Statistics, Machine Learning, and Data Analytics!

Skills

Experience

Education

  • Programming Languages
    Python, HTML, CSS
  • Libraries/Frameworks
    Pandas, NumPy, Scikit-learn, Django
  • Machine Learning
    Support Vector Machines (SVM), Decision Trees, Quantum Machine Learning
  • Data Analytics
    Big Data, Natural Language Processing (NLP)
  • Web Development
    Django framework, User Authentication, CRUD Operations
  • Visualization Tools
    Matplotlib
  • Languages
    Fluent in English, Hindi
  • 2024-2025
    CDAC Bangalore (Joint Program for Quantum Machine Learning and Big Data)
  • 2023-2025
    M.Sc. Data Science Projects at CHRIST (Deemed to be University)
  • 2020-2023
    B.Sc. (Statistics) Projects at Patna Science College, Patna
  • 2024
    Geo Innovation Challenge at Sophia Girls’ College (Autonomous), Ajmer, Rajasthan, India
  • 2021-Present
    Environmental Projects
  • 2024-2025
    Post Graduate Program in Quantum Machine Learning and Big Data from CDAC Bangalore
  • 2023-2025
    Master of Science in Data Science from CHRIST (Deemed to be University), Lavasa Campus
  • 2020-2023
    Bachelor of Science in Statistics from Patna Science College, Patna
  • 2017-2019
    12th Grade (CBSE) from Army School Danapur Cantt
  • 2016-2017
    10th Grade (CBSE) from Army School Danapur Cantt

Professional Expertise

Python Programming

Expertise in Python programming for data analysis, machine learning, and web development. Skilled in using libraries such as Pandas, NumPy, and Scikit-learn to develop efficient and scalable solutions. Accomplished in solving 150+ LeetCode problems.showcasing strong problem-solving skills and algorithmic expertise. Proficient in building and deploying machine learning models, including Convolutional Neural Networks (CNNs) for image recognition and processing. Additionally, experienced in utilizing Natural Language Processing (NLP) techniques for text analysis, sentiment analysis, and language modeling.

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Data Science & Machine Learning

Proficient in applying machine learning techniques, including Support Vector Machines (SVM), Decision Trees, and Neural Networks (NN) for predictive modeling and data-driven insights. Specialized in Convolutional Neural Networks (CNNs) for image classification and object detection, as well as NLP for text analysis and language translation. Experienced in data preprocessing, feature engineering, model development, and evaluation, ensuring optimal performance and scalability of solutions.

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Web Development

Experienced in developing dynamic and interactive web applications using Django framework. Skilled in implementing user authentication, CRUD operations, and ensuring seamless user interaction.

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Quantum Computing

Working with Quantum Machine Learning and Big Data, utilizing cloud platforms for processing large-scale datasets and running advanced quantum machine learning models efficiently.

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Projects

Potato and Tomato Disease Detection

Potato and Tomato Disease Detection

This project focuses on identifying diseases in potato and tomato plants using image processing and machine learning techniques. The model leverages CNN for disease classification, providing accurate predictions for early-stage disease detection in crops.

Stock Market Rate Prediction

Stock Market Rate Prediction

Conducted in-depth dataset analysis and developed predictive models using Pandas, NumPy, and Python. This project optimized relationships for effective decision-making through data analysis.

Food Recipe Website

Food Recipe Website

Developed a fully functional website using Django, implementing user authentication and CRUD operations to ensure seamless user interaction.

Environmental Sustainability Projects

Environmental Sustainability Projects

Applied statistical methods to environmental projects, organizing workshops to foster peer learning and providing sustainability insights through data-driven analysis.

Credit Risk Management System

Credit Risk Management System

Created a platform using Django where users can register and log in. The system provides loan predictions to determine eligibility, gold price predictions, and credit risk management using models like Decision Tree, Linear Regression, and XGBoost.

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contact me

sksandy3869@gmail.com

+91 8986578410

Download CV

Thank you