I am a data professional focused on building scalable ETL pipelines, statistical analytics, and production-grade AI/ML solutions. I excel at turning messy data into actionable insights that drive decisions across automotive retail and beyond. My work blends data engineering, analytics, and AI to deliver real-time dashboards, anomaly detection, and end-to-end ML pipelines. I enjoy collaborating with stakeholders to optimize performance, automate processes, and deploy reliable, scalable applications.

Nidhishree SP

I am a data professional focused on building scalable ETL pipelines, statistical analytics, and production-grade AI/ML solutions. I excel at turning messy data into actionable insights that drive decisions across automotive retail and beyond. My work blends data engineering, analytics, and AI to deliver real-time dashboards, anomaly detection, and end-to-end ML pipelines. I enjoy collaborating with stakeholders to optimize performance, automate processes, and deploy reliable, scalable applications.

Available to hire

I am a data professional focused on building scalable ETL pipelines, statistical analytics, and production-grade AI/ML solutions. I excel at turning messy data into actionable insights that drive decisions across automotive retail and beyond.

My work blends data engineering, analytics, and AI to deliver real-time dashboards, anomaly detection, and end-to-end ML pipelines. I enjoy collaborating with stakeholders to optimize performance, automate processes, and deploy reliable, scalable applications.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at Tekzen Systems
January 1, 2015 - Present
Developed a robust ETL pipeline using FastAPI, Redis, Celery, and MySQL to asynchronously process lead data from a GA4-integrated Laravel e-commerce platform. Built KPI dashboards in Apache Superset for real-time performance monitoring and strategic decision-making. Implemented automated archival with hourly tables, daily roll-ups, long-term summaries (30/90/360 days), and annual gzip compression, reducing dashboard query latency from minutes to seconds. Designed a real-time anomaly detection system using Isolation Forest with automated email alerts, establishing a complete Data Engineering → Analytics → Data Science pipeline. Engineered a modular backend to support multi-stage data processing for scalability to 2,500+ dealerships. Also built a high-performance Vehicle Number Plate Detection pipeline using YOLO with a modular Python backend and real-time inference integrated with a React frontend, enabling multipart uploads and production-ready performance.

Education

B.E. Computer Science and Engineering at Vidyavardhaka College of Engineering
January 1, 2020 - January 1, 2024

Qualifications

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Industry Experience

Software & Internet, Professional Services