Dechamma C Appaiah
Marrickville,Australia
Summary
Results-driven Machine Learning and Data Engineer at LANXESS AG, skilled in Python and SQL. Successfully developed predictive models that optimized industrial processes, enhancing efficiency. Demonstrated strong analytical abilities and effective communication through visual reporting, ensuring data integrity and actionable insights for stakeholders.
Overview
3
3
years of professional experience
Work History
Machine Learning and Data Engineer
LANXESS AG
Cologne, Germany
12.2023 - 01.2025
- Developed machine learning models to analyze and optimize industrial processes.
- Analyzed pre-processed data to extract actionable insights and identify key trends.
- Developed visual reports and graphical representations of model outcomes to support decision-making for process engineers.
- Maintained data integrity and accuracy through effective cleaning, transformation, and management practices.
Full time Master thesis student
LANXESS AG
Cologne, Germany
12.2022 - 07.2023
- Developed machine learning model utilizing Boruta, SHAP, and ANOVA for feature selection.
- Applied random forest regressor alongside feature selection methods for enhanced predictive accuracy.
- Conducted data analysis using box plots to visualize statistical trends and inform decision-making.
- Optimized reactor emptying synthesis to enhance efficiency in chemical reactor operations.
Working student (Front-end Web Developer)
LANXESS AG
Cologne, Germany
10.2021 - 10.2022
- Designed and implemented responsive web pages using HTML and CSS for enhanced user experience.
- Developed user-friendly interface for SharePoint solution, enhancing accessibility for users.
- Established wiki structure resembling online encyclopedia to streamline information sharing.
Education
Master of Science - Communication Systems and Networks, Machine Learning Concepts, Digital Signal Processing, Data Analysis, Statistical methods, Virtual Private Networks, Cryptography
Technische Hochschule Cologne
Germany01-2023
Bachelor of Science - Electronics and Communications
Dayananda Sagar University
Bangalore, India01-2019
Skills
- Python and R
- SQL and NoSQL
- HTML and CSS
- C programming
- Microsoft Office Suite
- SharePoint and Tableau
- Power BI and Excel
- Google Cloud Platform
- NumPy and TensorFlow
- PyTorch and Keras
- Scikit-learn and Pandas
- Machine learning techniques
- Data analysis methodologies
- Statistical modeling approaches
- ETL development processes
- data pipeline design
Projects And Online Certifications
- Research Project, Predicting future trajectories for public utilities using M3 Datasets. To develop future trajectories from time series data using ARIMA and exponential smoothing to understand past and predict future data in a series using MLP.
- Data Science Real World Projects in Python, Building Data science Real world Projects in AI, ML, NLP and Time Series domain - Udemy.
- Data Prep & EDA with Python, Python with Pandas for data cleaning, profiling, EDA, and prep data for Machine Learning models with Python.
Languages
English
Native/ Bilingual
German
Professional
Timeline
Machine Learning and Data Engineer
LANXESS AG
12.2023 - 01.2025
Full time Master thesis student
LANXESS AG
12.2022 - 07.2023
Working student (Front-end Web Developer)
LANXESS AG
10.2021 - 10.2022
Master of Science - Communication Systems and Networks, Machine Learning Concepts, Digital Signal Processing, Data Analysis, Statistical methods, Virtual Private Networks, Cryptography
Technische Hochschule Cologne
Bachelor of Science - Electronics and Communications
Dayananda Sagar University