Summary
Overview
Work History
Education
Skills
Certification
LANGUAGES
Hobbies and Interests
Additional Information
Timeline
Generic
DIVYANGANA KOTHARI

DIVYANGANA KOTHARI

Duisburg

Summary

Master's student in Computer Science with industry experience in Germany and India. Strong analytical skills and a passion for AI and innovation. Proficient in Python and SQL, specializing in machine learning, deep learning, and AI-driven analytics. Skilled in predictive modeling, time-series forecasting, NLP, and optimization. Experienced in building and deploying scalable ML solutions, performing feature engineering, and conducting statistical analysis on large datasets. Knowledgeable in data engineering and cloud infrastructure, with a foundation in system administration. Able to translate technical findings into actionable business strategies. Effective communicator with a collaborative mindset, focused on delivering high-impact, data-driven results in dynamic environments.

Overview

6
6
years of professional experience
1
1
Certification

Work History

WERKSTUDENT

Fraunhofer IML
04.2023 - 10.2024
  • Machine Learning and Data Science
  • Predicting Optimal Tour Length for the Traveling Salesman Problem with Time Windows (TSP-TW) using Machine Learning
  • Developed ML models (NN, RF, SVR) for TSP-TW, improving routing efficiency.
  • Applied time-series forecasting and statistical methods to enhance predictions.
  • Designed scalable data pipelines and performed data processing with SQL, Pandas, NumPy.
  • Conducted feature engineering, validation, and tuning to optimize model performance.
  • Conducted thorough research for projects, ensuring accuracy and relevance of information presented.
  • Developed a real-time object classification app using Python, TensorFlow and OpenCV
  • Integrated pre-trained deep learning models for dynamic training and predictions
  • Created interactive dashboards and visualizations for insights
  • Documented and presented findings to cross- functional teams
  • Demonstrated adaptability by quickly learning new software tools, contributing to increased efficiency within the team

PROJECT ENGINEER

Wipro
02.2019 - 04.2022
  • Cloud Infrastructure Team (System Administrator) | Java Development
  • Managed 2.5 TB/month backup and restore processes while ensuring data encryption and compliance.
  • Reduced major incidents by 20% via proactive system monitoring and problem resolution.
  • Developed Java-based applications with integrated front-end and backend components.
  • Designed and optimized scalable cloud infrastructure for system performance and reliability.

Education

Master of Science - Computer Engineering

University of Duisburg-Essen
Duisburg, Germany
06-2025

Bachelor of Science - Information Technology

Dr. A.P.J. Abdul Kalam Technical University
Lucknow, IN
08-2018

Skills

  • Programming: Python, Java
  • Data Analysis & Visualization: SQL, Pandas, NumPy, Matplotlib, Seaborn, Plotly
  • Machine Learning & AI: ML models, Deep Learning (CNN, RNN, Transformers), Time-series Forecasting, NLP, Generative AI, Predictive Modelling, MLOps (Docker), CI/CD Pipelines, Large Language Models (LLM)
  • Big Data & Databases: Snowflake, SQL, Data Modelling, Azure
  • Tools & Other: Git, JIRA, Confluence, MS Office Suite (Word, Excel, PowerPoint)
  • Problem-solving
  • Time management
  • Clear communication
  • Verbal and written communication
  • Documentation and reporting

Certification

  • Microsoft Technology Associate: Database Fundamentals
  • Cleared the Microsoft Technology Associate (MTA) 98-364 DATABASE FUNDAMENTALS exam with 90% marks
  • Python Data Science (Analysis and Visualization)

LANGUAGES

English- Native(C1)
German- Intermediate(B2)

Hobbies and Interests

Certified Yoga Instructor, Mindfulness & Meditation Instructor, Table Tennis, Hiking, Reading

Additional Information

-Book Recommender System Built a semantic book recommender using embeddings and unsupervised learning to suggest contextually relevant titles based on user queries.

-Automated NGS Genomic Analysis Pipeline Built an automated Snakemake pipeline for NGS analysis with integrated QC, variant calling, assembly, and lineage reporting.

-Object Recognition Web Application (Machine Learning & Computer Vision)

Timeline

WERKSTUDENT

Fraunhofer IML
04.2023 - 10.2024

PROJECT ENGINEER

Wipro
02.2019 - 04.2022

Master of Science - Computer Engineering

University of Duisburg-Essen

Bachelor of Science - Information Technology

Dr. A.P.J. Abdul Kalam Technical University
DIVYANGANA KOTHARI