KISHAN SHELADIYA

ML + Data Engineer

Hi, I’m Kishan Sheladiya.
I build ML systems and data-driven products.

Machine Learning Developer with 1.5+ years of experience in ML/AI, analytics, and production-ready Python solutions. Recently worked on time series classification using Optimal Transport method with GPU acceleration.

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PythonSQLDeep learningPowerBIAWS
Kishan Sheladiya
1.5+ yrs
Experience
ML/AI
Focus
M.Sc.
Current

About Me

I am a Machine Learning Developer and Master’s student in Mathematical Modelling, Simulation and Optimization at Universität Koblenz, Germany. I have over 1.5 years of experience working on machine learning, data analytics, and AI-driven systems.

My work focuses on building production-ready ML solutions, from data pipelines and exploratory analysis to model development, optimization, and deployment. I enjoy combining strong mathematical foundations with practical engineering to solve real-world problems.

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Primary Focus
Machine Learning & Data Science
University
Universität Koblenz
Current Degree
M.Sc. Mathematical Modelling, Simulation and Optimization
Thesis Area
Time Series Classification by Optimal Transport Method
Location
Koblenz, Germany

Education

Academic background focused on mathematical modelling, ML/AI, and data-driven methods.

Master of Mathematical Modelling, Simulation and Optimization

Universität Koblenz • Koblenz, Germany

Oct 2022 – Present
Machine Learning and Data Mining, Artificial Intelligence, Optimization, Data Science, Big Data.
Details Image
Current

B.Tech. Mechanical Engineering

Vellore Institute of Technology • Vellore, India

Jul 2018 – May 2022
Python, Advanced Engineering Mathematics, Statistics, Operations Research, Data Analytics.
Details Image
Completed

Experience

Internships focused on ML engineering, analytics, automation, and turning data into production-ready insights.

Intern Machine Learning Developer

Digicode Informatik LLP • Gujarat, India

Jan 2022 – Jun 2022
  • Machine Learning framework development, Artificial Intelligence Integration, Automation Programming.
  • Design and executed well-engineered, easy to maintain, reliable and bug free code modules for various applications.
  • Deep Learning, Work on mathematical aspects of AI, AWS.
Company Logo
Machine LearningAI IntegrationAutomationDeep LearningAWS

Data Analyst Intern

Kautilyum IT Services • Gujarat, India

Apr 2021 – Sep 2021
  • Database management, quality assessment, Pattern and trend identification, Spearheaded data flow improve.
  • Converted data into actionable insights.
  • Created data visualization modules and Dashboards for complex dataset using python, Power BI.
Company Logo
PythonPower BIDashboardsData Quality

Master Thesis

Recently completed research project combining Optimal Transport, GPU acceleration, and real-world time-series classification.

May 2025 – Oct 2025

Time Series Classification by Optimal Transport Method

Universität Koblenz

Completed
  • Built a GPU-accelerated Optimal Transport Warping (OTW) model in Python(PyTorch) with CUDA for efficient time-series classification.
  • Benchmarked OTW vs. Dynamic Time Warping (DTW) on 7 UCR datasets, achieving higher accuracy in structurally complex domains.
  • Applied machine learning, optimization, Artificial Intelligence (AI) and statistical techniques to real-world data (medical, energy, traffic).
  • Developed a reproducible pipeline for experiments and benchmarking, connecting advanced mathematical methods with real-world applications.
PythonPyTorchCUDAOptimal Transport WarpingTime SeriesBenchmarkingReproducible PipelineClassification

Key Results

Speedup
Up to 70× faster
Error
Up to 60% lower
Datasets
UCR datasets
Metrics are reported from thesis benchmarking (OTW vs. DTW).
gitHubView GitHub

Projects

gitHubView GitHub

Book Recommendation System

Machine Learning • Personal Project • Jan 2025 – Mar 2025

  • ETL, EDA, Data Augmentation and statistical analysis (correlation, regression) on large-scale.
  • Applied data preprocessing, feature engineering, and model evaluation.
  • Hands-on experience with Linear Regression, Decision Trees, K-Means, and Collaborative Filtering.
  • Evaluated performance using ROC AUC, F1-score, Precision, and Recall optimizing model accuracy.
PythonEDAFeature EngineeringRecommender SystemsEvaluation

ETL Epidemiological Data Analysis

Data Engineering • Personal Project • Jul 2024 – Sep 2024

  • Data collection of Epidemiological Data using ETL pipelines and data scraping techniques.
  • Data preprocessing and Cleaning to Ensure Data Accuracy and Reliability.
  • Created an interactive dashboard using PowerBI, allowing users to visualize.
  • Demonstrated expertise in Exploratory Data Analysis (EDA) Techniques to Identify Key Trends and Patterns.
ETL pipelinesData CleaningPower BIDashboardsTrend Analysis

Credit Card Fraud Detection

Machine Learning • Personal Project • Mar 2024 – Apr 2024

  • Developed system to detect fraud using imbalanced dataset.
  • EDA of dataset using Python and Scikit-learn and Pandas for data manipulation, cleaning, model building and Visualizing using PowerBI.
  • Fine-tuned hyperparameters of various models such as Logistic regression, Random forest, XGBoost, and Neural net- work.
  • Evaluation matrices such as precision, recall, F1-score and ROC AUC to evaluate model’s performance.
PythonImbalanced LearningXGBoostModel TuningEvaluation Matrices

Skills

Tools and technologies I use to build ML systems, data pipelines, and production-ready applications.

Programming Languages

PythonSQLR (basics)CC++Java

Frameworks & Libraries

NumPyPandasSciPyScikit-learnPyTorchTensorFlowPySpark MLFastAPIOpenCVCUDAMySQL

Machine Learning & AI

Deep LearningNatural Language Processing (NLP)Large Language Models (LLMs)Neural NetworksModel Fine-tuningFeature EngineeringData Preprocessing

Data Visualization

Power BITableauMatplotlibSeabornPlotlyDashStreamlitggplot2QuickSight

Analysis Methods

Statistical AnalysisStatistical ModelingHypothesis TestingA/B TestingRegression/ClassificationForecastingTrend AnalysisTime-Series AnalysisData Quality Management

Cloud Computing

AWS (S3, EC2, Lambda, Glue)Microsoft AzureJIRAConfluenceDocker

Version Control and APIs

Git/GitHubCI/CD PipelinesREST APIsGitHub REST API

Utilities

Predictive ModellingETLEDAOptimizationJupyter NotebookVS CodeLinuxUbuntu

Certificates

4 total

Scalable Machine Learning with Apache Spark

Databricks

2023
Apache SparkScalable MLDatabricks

Apache Spark Programming with Databricks

Databricks

2023
Apache SparkDatabricks

Microsoft Certified: Power BI Data Analyst Associate

Udemy

2023
Power BIAnalyticsDashboards

Python Programming Bootcamp

Udemy

2021
PythonProgramming

Languages

English

German

Contact

Feel free to reach out for Full time, internships, research collaboration, or ML/AI projects.

Get in touch

The fastest way is email. You can also connect via LinkedIn or check my work on GitHub.

Location
Germany
Email
kishansheladiya07@gmail.com
Phone
+49 176 86664054
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