Akarsh Siwach
@akarshsiwach
Data Analyst and Data Scientist building predictive ML and IoT analytics.
IndiaWhat I'm looking for
I’m a Data Scientist/Analyst focused on building real-time IoT pipelines, multi-sensor processing systems, and machine learning models that drive measurable outcomes. In my current role, I led analytics for EV telemetry to monitor battery health and degradation, developing LSTM-based RUL forecasting, XGBoost degradation models, and VAE/GAN anomaly detection.
I also build production-grade analytics infrastructure with Databricks ETL (Bronze/Silver/Gold) and deliver decision-ready reporting through Power BI dashboards and performance optimization. Previously, I worked on AI-based in-vehicle context and behavior analysis using MoViNet/SlowFast 3D and upgraded detection to YOLOv8 for real-time use, and I’ve supported automation and data engineering efforts through internships.
Experience
Work history, roles, and key accomplishments
Data Analyst
Sasken Technologies Limited
Dec 2024 - Present (1 year 6 months)
Led analytics for large-scale EV telemetry to monitor battery health, degradation trends, and vehicle performance. Built Databricks Bronze/Silver/Gold ETL pipelines and delivered predictive models (LSTM RUL, XGBoost degradation, VAE/GAN anomalies) achieving ~13% MAPE in RUL forecasting, ~0.82 R² in degradation modeling, and ~84% precision in anomaly detection, plus optimized Power BI dashboards fo
Designed and implemented a multi-sensor data pipeline (cameras, radars, CAN bus) for real-time in-vehicle context and behavior analysis. Fine-tuned MoViNet and SlowFast 3D models on Drive&Act to achieve ~88% accuracy (F1 ~0.87) for driver behavior classification and improved YOLO-based detection accuracy by 9.6% by upgrading from YOLOv5 to YOLOv8, reducing inference latency for deployment.
Data Engineer Intern
Elektrobit India
Feb 2023 - Aug 2023 (6 months)
Built a customized ChatGPT-powered internal application to help employees access company and project information using AI/ML-assisted data collection and preprocessing. Conducted analytical research on heartbeat detection and finger vein biometric systems for automotive use, evaluating market landscape and deployment constraints.
Supported wiki to Confluence data migration by evaluating approaches involving cloud vendor support and automated data converters. Explored Power BI KPI dashboard development and studied Docker and Kubernetes dashboard interfaces to inform analytics and tooling workflows.
Education
Degrees, certifications, and relevant coursework
PES University
Bachelor of Technology, Computer Science & Engineering
2019 - 2023
Completed a B.Tech in Computer Science & Engineering at PES University in Bengaluru from 2019 to 2023.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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