Kshithij Nagesh
Hayward,CA
Summary
Reliable Data Analyst seeking opportunities to expand skills and contribute to company success. Experienced in data analysis, visualization, and analytics with a strong foundation in PostgreSQL. Committed to continuous learning and professional growth as an analyst.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Analyst
Lucid Motors
12.2023 - Current
- Data Analyst in ADAS (Advanced Driver Assistance Systems) Data Team; Delivered tailored performance dashboards for Vehicle Test Operations & ADAS Drivers team
- Built and maintained dashboards using Apache Superset and PostgreSQL to monitor ADAS test fleet data, including pre-/post-processing hours, sensor status, and session performance across Lucid Air & Gravity vehicles
- Defined and visualized key KPIs to measure ADAS data processing performance, including:
- Pre-processed Hours: Raw sensor data processed per run
- Post-processed Hours: Data output ready for ML/annotation
- Throughput: Hours processed per day/week/month
- Latency: Time from ingestion to post-processing
- Reprocessing Rate: % of sessions re-run due to errors
- Created a detailed Confluence page documenting the data architecture for the annotation database and specifications for the Testfleet Collection Performance dashboard.
- Developed Testfleet Error dashboard to track sensor reliability KPI's such as data loss, null value rates, and Camera/LiDAR failures across test fleet, enabling faster diagnosis
- Built analytics Sensor Fusion dashboard to monitor LiDAR, camera, and sensor fusion performance in EVs, incorporating MoM and WoW comparisons to identify anomalies, performance degradation.
- Presented to 15+ test fleet drivers on daily, weekly, and monthly usage for optimized results.
- Performed QA on LiDAR-camera overlay alignment for each session; batched 50k frames, applied meta tagging, and approved data for delivery to the Perception team.
- Delivered LiDAR, camera, and vehicle signals data via AWS S3 to the Perception team across multiple ADAS/AV projects.
Business Analyst (Consultant)
Apple Inc.
05.2023 - 10.2023
- Built Tableau dashboards to track key performance metrics and support decision-making across multiple retail locations
- Managed project lifecycle and stakeholder coordination for retail performance initiatives using Wrike and Miro
- Automated Excel workflows to streamline People Analytics reporting for retail store performance
Data Analyst
Rapt.ai
09.2022 - 07.2023
- Developed Tableau dashboards and reports leveraging AWS and SQL to track GPU/CPU usage trends, enabling data-driven decisions for resource optimization.
Business Analyst Intern, Supply Chain Team
Cisco Systems
06.2022 - 08.2022
- Led Competitive Analysis project comparing Cisco with competitors using Tableau dashboards on financial and operational metrics (QOQ & YOY), presented findings to VP and Global Planning Team
- Developed data visualization dashboards highlighting high-priority manufacturing deviations for the Operations team
- Awarded 1st place at Intern Project Showcase for impactful supply chain data visualization and storytelling
Education
Bachelor of Science - Business Finance & Decision Science
San Francisco State University
05-2023
Skills
- Tableau/Apache Superset
- PostgreSQL
- Data Visualization
- Analytical thinking
- Advanced Excel & MS Office
- Data analysis
- Project management
Certification
- Apache Superset for Data Engineering
- Tableau Desktop Specialist
- Advanced SQL for Data Engineering
- MIT Applied Data Science
Timeline
Data Analyst
Lucid Motors
12.2023 - Current
Business Analyst (Consultant)
Apple Inc.
05.2023 - 10.2023
Data Analyst
Rapt.ai
09.2022 - 07.2023
Business Analyst Intern, Supply Chain Team
Cisco Systems
06.2022 - 08.2022
Bachelor of Science - Business Finance & Decision Science
San Francisco State University