Raghu R.
Simulation Engineer, Project Leader
Experience
Jul 2025 - Jul 2025
1 monthSelf-Initiated Project
Telco Customer Churn Prediction – End-to-End ML Pipeline
- Designed and implemented a full ML pipeline for churn prediction using the Telco dataset
- Applied preprocessing: missing value handling, categorical encoding, feature scaling, and PCA
- Built and compared 15+ models (Logistic Regression, Random Forest, XGBoost) and evaluated with accuracy, precision, recall, F1 score, ROC AUC, and PR AUC
- Tuned hyperparameters with GridSearchCV, achieving 80.6% accuracy with Random Forest/XGBoost
- Created visual reports (bar plots, heatmaps, radar charts) to interpret model performance and churn drivers
- Exported reusable pipelines and trained models with joblib for deployment
Mar 2025 - Mar 2025
1 monthSelf-Initiated Project
Stock Price Analysis and Risk Modeling
- Analyzed historical stock data from Yahoo Finance using adjusted closing prices
- Computed simple and exponential moving averages to identify market trends
- Evaluated performance via daily and cumulative returns
- Visualized correlation heatmaps and kernel density estimation plots
- Assessed value at risk at 95% and 99% confidence using variance-covariance, historical simulation, and Monte Carlo simulation (10,000+ trials)
- Calculated Sharpe ratio and volatility metrics to evaluate risk-adjusted returns
Jan 2025 - Dec 2025
1 yearSelf-Initiated Project
Food101 Multiclass Image Classification – Progressive Learning with TensorFlow (EfficientNetV2S)
- Implemented multiclass image classification on Food101 dataset using a progressive learning strategy
- Prepared progressive datasets (10%, 50%, 100%) to enable staged model training using image_dataset_from_directory
- Built input pipeline with 384×384 image size, batch loading, and data augmentation
- Applied EfficientNetV2S pretrained on ImageNet with hybrid pooling and dropout before output
- Progressive training phases: feature extraction with frozen layers (Phase 1), fine-tuning last 30 layers with label smoothing (Phase 2), full data fine-tuning with learning rate scheduling (Phase 3)
- Achieved Top-1 accuracy of 83.15% and Top-5 accuracy of 96.59%
- Computed precision, recall, F1-score, and support per class
- Plotted class-wise F1 score distribution and heatmaps of precision/recall/F1
- Analyzed precision vs recall trade-offs and generated a correlation matrix
- Performed misclassification analysis to identify top misclassified categories
Feb 2015 - Present
10 years 11 monthsMunich, Germany
Simulation Engineer / Project Leader
ARRK Engineering
- Led crash simulations and airbag performance studies
- Developed predictive models with LS-Dyna and Pam-Crash
- Delivered engineering insights and recommendations to cross-functional teams and clients
Oct 2012 - Feb 2015
2 years 5 monthsMunich, Germany
CAE Specialist / Project Leader
Tecosim GmbH
- Built and validated crash models
- Applied statistical methods and sensitivity studies to optimize safety performance
- Collaborated with clients such as BMW and Audi
Sep 2008 - Aug 2010
2 yearsChennai, India
Senior Engineer (Crash Analyst)
Renault-Nissan
- Analyzed full-vehicle crash simulations
- Conducted parametric studies to improve crashworthiness
Summary
Automotive Engineering Leader with 14+ years of international experience in crashworthiness, passive safety, and advanced material simulations (CFRP, adhesives, metals). Specialized in material characterization and validation, ensuring regulatory compliance with Euro NCAP, FMVSS, and OEM standards. Skilled in leading CAE teams, innovating occupant protection solutions, and applying data science/ML (Python, TensorFlow) to optimize simulations and deliver predictive insights. Recognized for strategic problem-solving, mentoring, and cross-functional collaboration.
Languages
Hindi
NativeTelugu
NativeEnglish
AdvancedGerman
IntermediateEducation
Oct 2010 - Sep 2012
University of Stuttgart
Master of Science · Computational Mechanics of Materials and Structures · Stuttgart, Germany
Oct 2000 - Jun 2004
Jawaharlal Nehru Technical University
Bachelor of Engineering · Mechanical Engineering · Hyderabad, India
Certifications & licenses
Data Science Bootcamp
Udemy
Machine Learning A-Z: AI, Python
Udemy
Python For Data Analysis And Visualization
Udemy
TensorFlow For Deep Learning Bootcamp
Udemy
MySQL For Data Analytics & BI
Udemy
Need a freelancer? Find your match in seconds.
Try FRATCH GPT More actions
Similar Freelancers
Discover other experts with similar qualifications and experience
- English
- Deutsch
2025 © FRATCH.IO GmbH. All rights reserved.