HI! I am Shivam Dabral

DATA SCIENTIST & ANALYTICS EXPERT

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Who Am I ?

About Me

I am a Data Scientist with an M.Sc. in Data Science (Statistics) from TU Dortmund, specializing in automation, data pipeline optimization, and predictive modeling. My expertise spans statistical learning, machine learning for high-dimensional data, NLP, bioinformatics, and big data analytics.

With professional experience at RWE, KPMG, and Accenture, I have practical skills in Python, R, SQL, Azure (CI/CD, Databricks), AWS Cloud, and data visualization tools like Tableau, Power BI, Elasticsearch, and Kibana. I am driven by transforming complex datasets into actionable insights that support strategic and operational decision-making.

Education:

• M.Sc. in Data Science (Statistics) - TU Dortmund, Germany (2020-2025)
• B.Tech. in Computer Science - GGSIPU, New Delhi (2013-2017)

Technical Expertise

Skills
Programming Languages
Programming

Python, R, SQL, Java, C++, JavaScript - Expert in statistical computing and software development

Machine Learning
Machine Learning & AI

Deep Learning, Neural Networks, TensorFlow, PyTorch, Regression, Classification, Time Series Analysis

Data Engineering
Data Engineering

ETL Pipelines, PySpark, Databricks, Docker, Kubernetes, PostgreSQL, MongoDB, Oracle

Cloud & Visualization
Cloud & Visualization

Azure (CI/CD, Databricks), AWS (S3, Lambda), Power BI, Tableau, Elasticsearch, Kibana

Featured Work

Projects
Jun 2025 – Present
Interactive AI-Driven Analytics Dashboard

Building a React and Dash-based dashboard with multi-format file ingestion, dynamic visualizations, and an AI-enabled chatbot using LangChain for contextual search and insights.

React Dash LangChain AI/ML
Dec 2023 – Jun 2024
Statistical Comparison of Dataset Similarity Measures

Master Thesis: Developed a simulation-based research framework to benchmark similarity measures, deriving statistical power curve analysis to assess sensitivity and robustness in high-dimensional data environments.

R Statistics High-Dimensional Data Simulation
Jun 2023 – Sep 2023
BTA Time Series Deep Hole Drilling Process

Developed FFT and periodogram-based predictive models for real-time noise diagnostics and early-warning systems for chatter detection in stochastic drilling processes.

Python Time Series FFT Signal Processing
Apr 2023 – Jun 2023
Styrian Health Map – Geospatial Logistic Analysis

Applied multinomial logistic regression and geospatial modeling to analyze regional hypertension risk patterns based on ESC/ESH clinical guidelines, integrating demographic and health datasets.

R Geospatial Analysis Logistic Regression Healthcare
Nov 2022 – Mar 2023
Optimal Designs for Dose-Response Models

Simulated D-optimal and ED-optimal experimental designs for Emax, Log-linear, and Exponential models to improve robustness of dose-response modeling under parameter uncertainty.

R Experimental Design Statistical Modeling Optimization
Dec 2021 – Jun 2022
Windmills Energy Production Analysis

Implemented time-series regression with anomaly detection and data augmentation to forecast long-term windmill efficiency degradation and optimize maintenance schedules.

Python Time Series Anomaly Detection Energy
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My Professional Journey

Work Experience
Working Student (Data Analyst)
RWE Supply & Trading GmbH

Dec 2023 – Mar 2025

  • Developed and optimized data pipelines and built predictive models for energy trading, supply chain, and risk analysis
  • Constructed forecasting models leveraging Azure and AWS cloud to scale processing and enhance efficiency
  • Integrated real-time data ingestion via RESTful APIs with automated reporting and risk monitoring dashboards
Python Azure AWS RESTful APIs
Software Developer
Accenture (BMW)

Dec 2017 – Mar 2020

  • Designed and deployed ML-powered dashboard to optimize manufacturing processes and predict production capacity
  • Built data pipelines with MongoDB, Docker, Microsoft Azure, and AWS for scalable analytics
  • Collaborated in Agile framework to integrate predictive systems into production environments
Machine Learning MongoDB Docker Azure AWS
Intern (Data Analyst)
KPMG Germany

Jul 2022 – Aug 2022

  • Performed data integrity diagnostics and exploratory multivariate analysis on demographic datasets
  • Developed statistical models in Python for pattern identification and anomaly detection
  • Designed interactive dashboards in Power BI for evidence-based business decision-making
Python Power BI Statistical Analysis
Student Research Assistant
FLW, TU Dortmund

Jul 2021 – Jul 2022

  • Provided technical support in research and industrial projects
  • Conducted data modeling, pipelining and evaluation using deep learning techniques
  • Configured simulation frameworks for temporal data analysis and human activity environments
Deep Learning Neural Networks Simulation
Intern (Data Engineer)
Bharat Electronics Ltd. (Ministry of Defence, India)

May 2016 – Jun 2016

  • Built sensor data monitoring and visualization system using machine learning (Random Forest, K-Means)
  • Applied PCA for dimensionality reduction in time-series data for anomaly detection
  • Enhanced real-time diagnostics and improved signal clarity in operational diagnostics
Machine Learning Random Forest K-Means PCA Time Series

Recognition & Leadership

Achievements & Affiliations
Professional Achievements
Ace Team Award

Q4 2019 | Accenture

Outstanding performance in developing ML-powered solutions for BMW manufacturing optimization

Star of the Batch

2016 | HP Training Program

Recognizing exceptional technical skills and leadership qualities

Event Head

2016 | Technical & Cultural Fest

Demonstrated organizational and leadership capabilities

Global AI Hub

Community Lead
2022 – Present

Leading initiatives to foster AI and data science education and collaboration. Organizing workshops, mentoring sessions, and knowledge-sharing events within the global community.

CSR Group, Accenture

Member
2018 – 2019

Actively participated in corporate social responsibility initiatives, contributing to community development projects and social impact programs.

Computer Society of India (CSI)

Member
2014 – 2015

Engaged in professional development activities and technical knowledge exchange with fellow computer science professionals.

Let's Connect

Contact Me

Email: shivamd04@gmail.com

Phone: +49 (0)176 8701 1837

Location: Dortmund, Germany