Harsh Kumar

About Harsh Kumar

As a Computer Science undergraduate specializing in Data Science and Machine Learning at Lovely Professional University, I’m passionate about solving real-world problems using data and building intelligent, scalable systems that drive meaningful impact. Tech Stack Highlights: • Languages & Frameworks: Python, SQL, Java, C++, Pandas, NumPy, Scikit-Learn, Seaborn, Matplotlib, TensorFlow • Tools & Platforms: AWS, Docker, Kubernetes, Jenkins, Git/GitHub, MySQL, MongoDB, Tableau, Excel • Development Environments: Jupyter Notebook, VS Code, IntelliJ IDEA, PyCharm, Google Colab, Spyder • Core Skills: Machine Learning, Data Analysis, NLP, Data Visualization, DevOps, Technical Communication🧠 I’ve built hands-on projects ranging from predictive models (e.g, heritage degradation rate) to EDA on open datasets, gaining practical experience in model training, feature engineering, and data storytelling. I’ve also completed certifications in ML, cloud computing, and software fundamentals, reinforcing both depth and breadth in my technical toolkit. I bring a mindset of lifelong learning, strong team collaboration, and a sharp eye for technical clarity, which help me communicate complex concepts and contribute effectively in cross-functional environments. I’m currently open to internships, research roles, and freelance opportunities in AI and ML — especially where I can apply my skills to impactful, data-driven products.Let’s connect if you’re building something exciting in AI, data science, or emerging tech!

Experience

1. Product Engineering Intern

   DishTV

   Dec 2025 — Present · Noida, IN

   Working with the Product Engineering team to design and automate internal workflows that improve operational efficiency and customer-facing product performance.My role involves contributing to automation scripts, performing technical analysis, and supporting ongoing improvements across product modules.Key Responsibilities: • Building automation workflows to streamline repetitive operational tasks • Supporting analysis and optimisation of backend product processes • Working with internal APIs, dashboards, and tools to enhance feature performance • Troubleshooting technical issues and collaborating with engineering teams for fixes • Preparing documentation, reports, and automation logs for internal use • Contributing to product enhancements and testing upcoming features

Education

• Takshila School

  Secondary Education (Class 10)

• Delhi Public School (DPS)

  Higher Secondary Education (Class 12), Science

• Lovely Professional University

  Bachelor of Technology - BTech, Computer Science