Sudhanva Savyasachi S

Data Scientist

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Expert in machine learning and statistical analysis.
Achieved top 3 in national data science competition.
Passionate about data-driven business solutions.

Stackforce AI infers this person is a Data Scientist with a focus on machine learning applications in the rail transport industry.

Contact

Skills

Core Skills

Machine LearningStatistical Analysis

Other Skills

Rail TransportStatistical Data AnalysisRetrieval-Augmented Generation (RAG)GPT-4oFAISSBM25Gaussian Mixture ModelTime Series ForecastingWALSSHAPReccommender systemsBERT (Language Model)Attention MechanismsSesimologyFourier Transform

About

I've always been captivated by how mathematical principles govern the world, from the smallest patterns to the largest systems. As a Data Scientist, I get to explore this intersection every day. By applying my expertise in machine learning, deep learning, NLP, and statistical analysis, I transform data into compelling narratives and solutions. I'm passionate about partnering with businesses to tackle their biggest challenges and drive growth through data-informed decisions.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Alstom

Data Science Intern

May 2025 – Jul 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Identified an inefficiency where engineers manually searched over 1000 radio log PDFs for signaling metrics.
Assembled a multimodal RAG architecture using a recursive text splitter, a hybrid search system (FAISS + BM25), and GPT-4o for generation.
Optimized the pipeline with strategic embedding and response caching and an IVF-FAISS index, reducing average query latency by 60% (10s → <4s).
Evaluated the system using Ragas, achieving 92% faithfulness, 90% answer correctness, 88% answer relevance, and 87% context recall.
Automated fault detection with a Gaussian Mixture Model, achieving 91.3% accuracy and reducing false alerts by 40%.

Rail TransportStatistical Data AnalysisMachine LearningStatistical Analysis