Harilal Remesan

Angestellt, Senior Engineer R&D Test Labs, Hanwha Q-Cells
Berlin, Deutschland

Fähigkeiten und Kenntnisse

Python
Machine Learning
Dashboards
Grafana
SQL
Automation
Analytics
Data Analysis
Mathematical Modeling

Werdegang

Berufserfahrung von Harilal Remesan

  • Bis heute 1 Jahr und 9 Monate, seit Nov. 2023

    Senior Engineer R&D Test Labs

    Hanwha Q-Cells

    Manage solar test field data using PostgreSQL-Timescale, InfluxDB, and other timeseries-optimized databases. Perform end-to-end analysis, from raw data processing to deploying interactive visualization tools (Grafana, Python, Plotly, Dash) for actionable insights. Optimize data pipelines for solar performance metrics. Develop ML models for time series forecasting of TANDEM, TOPCON, and PERC solar cells. (LSTM, TFT) Calculate key performance metrics like yield and deploy data-logging hardware in test fields.

  • 1 Jahr und 10 Monate, Dez. 2021 - Sep. 2023

    Data Analyst

    Enapter

    -Collaborate with R&D, Chemistry, Production, Quality, and Customer Support teams to analyze and troubleshoot issues. -Develop cloud-deployable software for automating data analysis and reporting for electrolysers and production processes. -Build dashboards to uncover usage trends using Grafana, Python Dash, and Jupyter-Voila. -Develop ML models (LSTM, TFT) to predict electrolyser life, customer segmentation, and churn, applying statistical methods to analyze complex datasets.

  • 4 Jahre und 7 Monate, Okt. 2016 - Apr. 2021

    Computer Aided Engineering Analyst

    Mercedes Benz Research and Development India Pvt Ltd

    -Led numerical simulations and mathematical modeling for dynamic engine systems and electric motors. - Automated internal workflows using Python, including NLP-based query detection and OCR for data extraction. -Developed AI solutions for autonomous driving, including object detection with YOLO. -Published technical papers and received multiple awards for contributions to numerical simulation and ML.

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