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Ayush Jha

@ayushjha710

I am a Data Scientist, I build ML solutions, perform analytics, and automation systems that improve pricing, forecasting, and operational decisions.

India

Message

What I'm looking for

I'm looking to build data, analytics, and machine-learning systems that improve real business decisions, from pricing and forecasting to automation and intelligent products.

At Spinny, I automated an auditing pipeline that cut 5.75 Cr+ in costs, contributed to pricing-database migration, and built an XGBoost TAT probability model for pricing optimization and benchmarking. I also developed Spinny AI Analyst, a RAG-based system for SQL queries, Python scripting, and business-metrics retrieval.

I've built and benchmarked classical and deep learning models at CSIR, improved investment pace and forecasting at R.W.Securities, and developed projects spanning computer vision, real-time geospatial systems, and efficient BERT distillation. I bring hands-on experience in Python, MySQL, XGBoost, TensorFlow, data pipelines, statistical analysis, and ML research.

Experience

Work history, roles, and key accomplishments

Business Analytics Intern

Spinny

Jan 2026 - May 2026 (4 months)

Automated auditing pipeline cutting costs by 5.75 Cr+ and played key role in pricing database migration. Built and deployed XGBoost model for TAT probability classification and developed RAG-based AI analyst for SQL querying and metrics retrieval.

XGBoost SQL Python RAG Automation Pricing Optimization Data Pipelines Machine Learning

Data and Applied Sciences Research Intern

Council of Scientific & Industrial Research (CSIR)

Jun 2025 - Aug 2025 (2 months)

Built and benchmarked 10+ classical and deep learning models including logistic regression, decision tree, CNN, and ensemble learning. Applied PCA, grid search, hyperparameter tuning, cross-validation, and clustering; fine-tuned BERT classifiers.

Python scikit learn TensorFlow XGBoost LightGBM BERT PCA Hyperparameter Tuning Cross Validation Clustering Data Visualization

Data and Applied Scientist Intern

R.W.Securities

Nov 2024 - Jan 2025 (2 months)

Performed statistical optimization and data analysis on client data, improving investment pace by 15%+. Built ML models for customer segmentation, automated reporting, and engineered data pipelines with SQL databases to speed data retrieval by 30%.

SQL Python Machine Learning Data Analysis Statistical Optimization KPI Visualization Data Pipelines Customer Segmentation