Anany Sharma

Data Scientist & Quantitative Analyst with production experience building scalable feature pipelines, predictive ML models, and analytics workflows. Proven track record in anomaly detection (50K+ records), SQL cohort analysis (100K+ transactions), and hybrid RAG architectures.

Artificial Intelligence Engineer Intern - IPLAIRANI

(2026-06 - 2026-07)

• Built 3 automated data transformation and feature pipelines on Databricks, cutting manual data processing runtime by 40%.
• Analyzed 8 multi-source operational datasets in Python, isolating key behavioral trends to refine predictive reporting models.
• Documented pipeline architecture, schema validation, and methodology benchmarks for 3 cross-functional engineering teams.

Data Science & GenAI Intern - Innomatics Labs

(2025-11 - 2026-04)

• Engineered preprocessing and feature extraction pipelines across 12 structured and unstructured datasets (50K+ records), cutting latency by 30%.
• Queried vector databases and third-party APIs to surface retrieval patterns, informing model evaluation and analytical reporting workflows.
• Deployed FastAPI backend endpoints serving automated analytics and model inference monitoring for data engineering teams.

B.Tech - Electronics & Communication (AI & Cybernetics) - VIT Bhopal University (2022 - 2026)