Vatsal Singh

Vatsal Singh

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Aspiring AI/ML Engineer🤖 || 150+ LeetCode Problems Solved 🚀🚀|| Passionate About Machine Learning & Data Analysis📊 || B.Tech CSE Chandigarh University 👨‍🎓
Uttar Pradesh, India
Contact Vatsal regarding: 
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Full-time jobs
Starting at INR1M/year ~USD10.6K/year

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Résumé

Jobs verified_user 0% verified
  • Amdocs
    Software Engineer
    Amdocs
    Jul 2025 - Current (10 months)
  • OASIS INFOBYTE
    Data Science Intern
    OASIS INFOBYTE
    Oct 2023 - Nov 2023 (2 months)
    During my internship at Oasis Infobyte, I worked on various hands-on projects in the field of Machine Learning and Data Science. I gained practical experience in implementing end-to-end ML pipelines and developing models using Python and libraries like scikit-learn, NumPy, and Pandas. Key responsibilities and accomplishments include: 🔍 Built and trained ML models for tasks like data classification and prediction. 📊 Performed data preprocessing, visualization, and feature engineering on real-world datasets. 💡 Developed and deployed solutions using Jupyter Notebooks and Python-based frameworks. 📈 Enhanced understanding of model evaluation techniques like accuracy, precision, recall, and confusion matrix. 🤝 Collaborated remotely with
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    Internship Trainee
    AICAN Private Limited
    Sep 2022 - Oct 2022 (2 months)
    At AICAN Pvt. Ltd., I worked as a Machine Learning Intern, contributing to innovative AI-driven solutions and gaining valuable exposure to real-world applications of artificial intelligence and machine learning. My responsibilities included: 🔬 Conducted exploratory data analysis (EDA) and preprocessed large datasets for training ML models. 🧠 Implemented algorithms for classification, regression, and clustering using Python, scikit-learn, and TensorFlow. 🧾 Worked on project pipelines involving model training, hyperparameter tuning, and performance evaluation. 🔄 Collaborated with a cross-functional team to integrate ML models into web-based applications and tools. 🧪 Applied knowledge of statistics and mathematics to improve model ac
Education verified_user 0% verified
  • Chandigarh university
    Bachelor of Engineering - BE, Computer Science
    Chandigarh university
    Oct 2021 - May 2025 (3 years 8 months)
    Chandigarh University (CU) is a prestigious NAAC A+ accredited institution known for its academic excellence, innovative learning environment, and global exposure. As a CSE student, I am gaining a strong foundation in: 💻 Core Programming (Python, C++, Java) 📊 Data Structures & Algorithms 🧠 Machine Learning & Artificial Intelligence 🗄️ Database Management Systems 🌐 Web Development (HTML, CSS) 📱 Software Engineering & Mobile App Development Chandigarh University offers numerous opportunities for growth through industry collaborations, hackathons, internships, research, and live projects. Being part of CU has helped me grow technically and personally, preparing me for real-world challenges in tech and innovation.
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    High School
    Shree Sanatan Dharm Education Centre
    Apr 2017 - Jul 2018 (1 year 4 months)
Projects (professional or personal) verified_user 0% verified
  • A
    AI-Powered Plant Disease Detection Web App
    Jan 2025 - Mar 2025 (3 months)
    This is a deep learning-based web application that helps users detect diseases in plant leaves just by uploading a photo or using their camera. It uses the MobileNetV2 model trained on over 50,000 images from the PlantVillage dataset to identify plant diseases with high accuracy. The app is built using Python, TensorFlow, and Streamlit, and runs directly in the browser — no installation needed. Key Features: Detects plant leaf diseases from images Supports live camera input or image upload Fast, accurate, and easy to use Accessible via any device with a browser This tool is designed to support farmers, students, and researchers by providing a quick and accessible way to monitor plant health.
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    Titanic Survival Prediction using Supervised ML
    Jun 2024 - Sep 2024 (4 months)
    Developed a Titanic Survival Prediction system using supervised machine learning, enabling users to input passenger details and predict survival likelihood based on trained models, with insights generated from feature analysis and classification algorithms. Tools Used: Python, Jupyter Notebook, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow
  • S
    Social Media Sentiment Analysis Using Twitter Dataset
    Jan 2024 - May 2024 (5 months)
    Twitter sentiment analysis is the process of extracting and categorizing emotions, opinions, or attitudes expressed in tweets. This project aims to assess how users feel about certain topics, products, or events by analyzing Twitter data. Through this analysis, we can determine whether a tweet conveys positive, negative, or neutral sentiment. This project involves several steps, from data collection to visualization, to understand the general opinion expressed by Twitter users.
Publications verified_user 0% verified
  • IEEE Xplore
    Social Media Sentiment Analysis Using Twitter Dataset
    IEEE Xplore
    Jan 2024 - May 2025 (1 year 5 months)
    Twitter sentiment analysis is the process of extracting and categorizing emotions, opinions, or attitudes expressed in tweets. This project aims to assess how users feel about certain topics, products, or events by analyzing Twitter data. Through this analysis, we can determine whether a tweet conveys positive, negative, or neutral sentiment. This project involves several steps, from data collection to visualization, to understand the general opinion expressed by Twitter users.