Sangam Suman

About Me

I am a Machine Learning enthusiast from Chandigarh, India, specializing in Artificial Intelligence and Machine Learning. Currently, I am a Subject Matter Expert in Computer Science at Chegg India, where I apply my expertise in C++, Python, and AI technologies.

My passion for AI and ML has driven me to excel academically, with a B.E.(Hons.) in Computer Science from Chandigarh University, holding a CGPA of 8.53.

My academic achievements include certifications from Coursera, DeepLearning.AI, Duke University, and NPTEL, along with publishing research papers in IEEE and Scopus.

I have also won 1st position in hackathons like Manthan at IIT Indore and participated in competitions such as Flipkart Grid 5.0.

Beyond academia and work, I am passionate about journaling, debating, reading novels, trading, and sketching. I am committed to leveraging AI to create innovative solutions that make a meaningful impact on the world.

  • Machine Learning & AI Supervised & Unsupervised ML, Logistic Regression, CNN, RNN — building innovative algorithms from the ground up.
  • Programming Languages & Libraries Python, C++, Pandas, NumPy, Scikit-learn, TensorFlow.
  • Web Development Front-end development with HTML, CSS, Bootstrap, and Streamlit for ML apps.
  • March 2024 – Present Subject Matter Expert in Computer Science at Chegg India Private Limited, India.
  • Jan 2023 – March 2023 Machine Learning Intern at Edunet Foundation sponsored by IBM, India.
  • June 2023 – July 2023 Participant in Intel Digital Readiness Workshop: AI for Future Workforce, India.
  • 2021 – Present B.E.(Hons.) in Computer Science — AI & ML, Chandigarh University. CGPA: 8.53
  • 2018 – 2019 Intermediate (CBSE) at Ashok Memorial Public School, Haryana. Percentage: 74.8%
  • 2016 – 2017 Matriculation (CBSE) at Ashok Memorial Public School, Haryana. CGPA: 9.4

My Works

IEEE Publication

IEEE Publication

Machine Learning-Based System for Admission and Jobs Prediction in Engineering and Technology Sector.

Moodle Emotion Detection

Moodle

Web application that uses machine learning algorithms to detect emotions in real-time using text analysis.

AquaFlow Hackathon

AquaFlow

Among 269 participants, top 10 teams were invited to IIT Indore. My solution triumphed and won 1st prize at Manthan hackathon.

See More on GitHub

Contact Me

sangamsuman.ss@gmail.com

+91-8882167298

Download CV