Prathmesh Karajkar
@prathmeshkarajkar
I build data pipelines, predictive models, dashboards, and RAG applications that turn data into actionable insights.
What I'm looking for
I built an enterprise multi-document RAG system with 92% retrieval accuracy, creating document ingestion, embedding, chunking, and retrieval pipelines with LLMs, FAISS, and FastAPI.
During my Machine Learning internship at Metainnovix, I cleaned 50,000 records through automated Python and Git pipelines, reducing processing time by 30%. I also developed classification, regression, and neural-network models with Scikit-learn and TensorFlow that achieved 95% accuracy.
My work spans EDA, statistical analysis, predictive modeling, and interactive Power BI dashboards. I enjoy translating customer, sales, and product data into practical recommendations, from churn prediction to user segmentation and A/B testing insights.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Metainnovix
Jul 2024 - Jan 2025 (6 months)
Engineered data analysis and ML solutions, performing statistical analysis and data interpretation to deliver actionable insights for stakeholders. Developed automated data pipelines and classification, regression, and neural network models, achieving 95% accuracy.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Mandi
Minor, Data Science and Machine Learning
Pursuing a Minor in Data Science and Machine Learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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