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Divyansh Pandit

Divyansh Pandit

AI / ML Fresher | Python | Data Preprocessing | Machine Learning

Talent
IndoreMember since May 25, 2026
PythonJavaScriptClassificationRegressionSMOTERandom ForestXGBoostPandasNumPyScikit-learnFastAPIRenderStreamlit CloudGitHub PagesGitGitHubJira
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PythonJavaScriptClassificationRegressionSMOTE

About

Final-year B.Tech CSE-AI student with hands-on experience in Python, ML model building, and cloud deployment. Completed internships at Google (AICTE), Unified Mentor, and Deloitte. Built and deployed end-to-end ML projects including a live Credit Card Fraud Detection API achieving 90% recall, and a self-initiated browser gaming platform (PyArcade). Seeking an entry-level AI/ML or Data Science role to grow and contribute.

Experience

Machine Learning Intern at Unified Mentor Pvt. Ltd. (2024 – 2024)

  • Worked on data cleaning and preprocessing using Python (Pandas, NumPy).
  • Built basic classification models (Random Forest, XGBoost) and evaluated using Precision, Recall, F1-Score.
  • Learned feature engineering techniques like encoding and scaling to prepare data for models.

AI-ML Intern at Google — College-Facilitated Program (via AICTE) (2025 – 2025)

  • Worked with real-world datasets for supervised learning tasks including classification and regression.
  • Gained exposure to data preprocessing, model training, and evaluation workflows.

Technology Job Simulation at Deloitte (via Forage) — Virtual (2024 – 2024)

  • Practised structuring data-driven business problems and presenting findings in a consulting context.
  • Developed skills in translating analytical insights into clear, actionable presentations.

Cybersecurity Trainee at Zscaler (via EduSkills) (2024 – 2024)

  • Completed Zero Trust Cloud Security training; earned certificate in ZTNA principles.

Education

B.Tech in Computer Science & Engineering (AI) – Medi-Caps University, Indore (2022 – 2026)

Skills

AI / ML FresherPythonData PreprocessingMachine Learning

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