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Parth SoodPS
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Parth Sood

@parthsood

Data Science Analyst at Aspect Ratio. Expert in architecting 10TB+ PySpark pipelines , HNSW vector search , and building scalable ML infrastructure.

India
Message

What I'm looking for

I seek roles building production-grade data and ML systems, with strong engineering practices, mentorship opportunities, and responsible AI focus.

I am a Data Science Analyst at Aspect Ratio with a focus on high-performance computing and large-scale AI infrastructure. My expertise lies in building scalable ML pipelines and ETL workflows, specifically within the healthcare sector where I support global oncology drug strategies.

Key Achievements

  • Infrastructure at ISRO: Architected PySpark pipelines to process 10TB+ of telemetry data and implemented real-time anomaly detection using Kalman Filters.

  • Search Engineering: Developed a high-dimensional search engine using HNSW vector indexing, achieving 98% recall and a 40% reduction in query latency.

  • Systems Programming: Experienced in GoLang and C++ for building thread-safe storage components and complex Monte Carlo simulations.

  • Academic Excellence: Graduated from PDEU with a 9.41/10 CGPA in Computer Engineering, serving as President of the CSI chapter.

My career goal is to bridge the gap between data science and core systems engineering, particularly in HPC and GenAI infrastructure.

Experience

Work history, roles, and key accomplishments

AL
Current

SDE / Data Science Analyst

Aspect Ratio Pvt. Ltd.

Jan 2025 - Present (1 year 2 months)

Developed scalable ML pipelines for patient cohort extraction from structured and unstructured healthcare datasets to support global oncology drug launches and built ETL workflows powering self-service Tableau and Power BI analytics.

SC

Software / Machine Learning Researcher

Space Application Centre

Jun 2024 - Sep 2024 (3 months)

Architected PySpark ML pipelines to process 10TB+ of mission telemetry, implemented streaming and API-based ingestion for real-time performance, and deployed anomaly-detection workloads using Kalman Filters in a secure environment.

Education

Degrees, certifications, and relevant coursework

Pandit Deendayal Energy University logoPU

Pandit Deendayal Energy University

Bachelor of Technology, Computer Engineering

2021 - 2025

Grade: 9.41/10

Activities and societies: President — CSI PDEU; organized technical workshops on Data Architecture and MLOps; mentored 30+ students.

Pursuing a Bachelor of Technology in Computer Engineering with coursework in Data Architecture, Distributed Systems, Statistics, and Software Engineering; graduated with a CGPA of 9.41/10.

Tech stack

Software and tools used professionally

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