5 viewsjobseeker
Ansh S. — Junior Data Scientist from India

Ansh S.

Junior Data Scientist

India Less than 1 year
Open to offersNew to Platform
Languages
EnglishHindi
Video Introduction
No video introduction yet
The candidate has not added a video.
Contact information and social networks are private. Connect to unlock.
Hidden

About

Ansh S. is a final-year Bachelor of Computer Applications student specializing in AI/ML at IMS Ghaziabad, Group of Institutions. He has acquired project management capabilities through Harvard University's HarvardX and deepened his proficiency in Python for Data Science and AI via courses from IBM on Coursera. Ansh has hands-on experience in building machine learning and data pipelines to significantly reduce data processing efforts and enhance data visualization through tools like Matplotlib and Seaborn, which facilitate communication with non-technical stakeholders. His technical internship at Elevate Labs involved engineering supervised ML pipelines using Scikit-learn, contributing to AI research, and model performance reporting. At Unified Mentor Pvt. Ltd., he developed data pipelines with Pandas and NumPy, reducing preparation time and enhancing report clarity. Ansh has also built full-stack AI applications such as Biblio AI, leveraging APIs like OpenAI and Google Gemini, demonstrating a strong foundation in LangChain and RAG-based systems, alongside skills in data analytics and problem-solving.

Experience

  • AI/ML Intern

    Elevate Labs · 2025 — 2025
    Engineered supervised ML pipelines with Python and Scikit-learn, integrating automated feature engineering and data preprocessing to minimize manual data-cleaning efforts.
  • Data Science Intern

    Unified Mentor Pvt. Ltd. · 2025 — 2025
    Developed data pipelines through Pandas and NumPy to process high-volume raw datasets, facilitating efficient data preparation for downstream modeling. Created Matplotlib/Seaborn dashboards to present intricate findings to non-technical stakeholders, enhancing report clarity. Built a full-stack AI book-reading assistant utilizing RAG and LangChain for contextual Q&A and summaries, driven by an NLP pipeline via a Flask web interface. Designed an automation pipeline to gather AI/ML and Data Science roles, customizing applications and managing outreach through Playwright, Supabase, and GitHub Actions. Developed a reusable BaseNode abstraction along with a dynamic text node for a visual pipeline builder, implementing backend logic for workflow integrity validation. Conducted analysis on the Bitcoin Fear & Greed Index sentiment and its correlation with DEX trader performance, producing an interactive HTML dashboard and documented report. Created an AI-powered journaling app featuring secure entry storage and reflective prompts generated by Gemini.

Skills & Expertise

Education

  • Bachelor of Computer Applications (BCA) in AI/ML
    IMS Ghaziabad, Group of Institutions · 2023 — 2026