Yashas Venkatesh

B.E. graduate in Artificial Intelligence & Data Science with hands-on experience across the full data and ML lifecycle - ETL/ELT pipeline design, advanced SQL optimisation, statistical modeling, and applied machine learning with scikit-learn. Strong theoretical grounding in deep learning architectures, Natural Language Processing, and Retrieval-Augmented Generation (RAG) systems, with working familiarity with TensorFlow and PyTorch.

Comfortable across the stack: schema design, backend/API engineering, predictive modeling, and interactive data products. Strong analytical and research orientation, with self-directed study spanning transformer architectures, generative AI, economics, behavioral psychology, and quantitative finance. Seeking roles in AI/ML, Data Science, Data Analytics, Data Engineering, or applied research where rigorous, evidence-based problem-solving creates measurable impact.

Data Analytics Trainee at PySpiders (Test Yantra Software Solutions) (2025-12 – 2026-05)

• Engineered scalable ETL pipelines in Python handling multi-stage data validation and automated loading across RDBMS, reducing manual intervention by ~40%.
• Authored and optimised complex SQL queries (window functions, advanced joins, aggregations), cutting report generation time by an estimated 30–35%.
• Designed normalised database schemas with strategic indexing, improving query performance and eliminating data redundancy across operational tables.
• Built modular, OOP-based Python scripts and authored technical documentation to bridge communication between engineering and non-technical stakeholders.

B.E. in Artificial Intelligence & Data Science – BGS College of Engineering & Technology, VTU (2026)

Diploma in Computer Science Engineering – PES Polytechnic (2023)