Akash Chandra Baidya

Welcome to my homepage. I’m a master’s student in Data Science at Technische Universität Dortmund and currently a Portfolio & Quantitative Analyst at RWE. With 5+ years in Python & full-stack and 3+ years in data science, I’m seeking roles as a Data Scientist, Engineer or Software Engineer.

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During my academic journey, I had the opportunity to serve as a Teaching Assistant in multiple courses, including Advanced Statistical Learning, Big Data Analytics, Statistical Learning for Big Data, and Probabilistic Reasoning for Machine Learning. In this capacity, my primary responsibilities revolved around conducting exercise sessions and grading exercise sheets.

Prior to my teaching experience, I accumulated over five years of professional expertise as a Software Engineer in diverse software and industrial companies. Throughout my tenure, I actively worked with Python, gaining proficiency in the language and acquiring a comprehensive understanding of software development practices.

Additionally, I held the position of Assistant Project Manager at ITM System LLC for three years, where I successfully managed projects and contributed to their successful execution. More recently, as part of my studies, I undertook a project focusing on time series anomaly scoring using LSTM models. By following established data science methodologies, I performed crucial tasks such as data cleaning, integration, transformation, selection, projection, data mining, visualization, and evaluation.

Resume Reference Github

Experience

Portfolio & Quantitative Analyst

RWE Supply & Trading GmbH
2025–Present

Data Scientist

IMSP, Munich
2024–2025

Research Assistant (Data Viz)

FZB Borstel
2023–2024

Research Assistant

E.ON RWTH Energy Research Center
2021–2022

Assistant Project Manager

ITM System LLC
2018–2021

Consultant Software Engineer

Ubitrix BD Ltd.
2017–2018


Projects

MALDIX NLP & LLM Pipeline

Python • spaCy • NLTK • PyMongo. Fine-tuned LLMs with Mistral AI.

Anomaly Detection

PyTorch LSTM for energy usage anomalies.

AutoML Cashflow Optimization

AutoML & Power BI dashboards optimizing cashflow.

Credit Card Fraud Detection

SMOTE • Logistic Regression & GBM with Plotly & Power BI.

Germany Weather Data Engineering

Python • SQL • REST APIs ETL pipeline for German weather data.

Inventory Management System

Django • Android • PostgreSQL • OTP-based location control.

More Projects

GitHub Summary

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Skills & Languages

Languages

Bengali (Native)
English (Fluent, C1)
German (Beginner, A2)

Technical Skills

Python (NumPy, Pandas, Scikit-learn, Keras, PyTorch, PySpark, FastAPI, Django)
Visualization (Power BI, Tableau, Plotly, Dash, RShiny)
Databases & Big Data (PostgreSQL, MySQL, MongoDB, Airflow, MLflow, Snowflake, Databricks)
Cloud & DevOps (Git, Docker, Azure, AWS, CI/CD)
Statistics & ML Ops (SciPy, StatsModels, SAS, LLM fine-tuning)

Services


Let me help make better use of your data. My expertise can be used to clean, analyse, interpret and visualize your data.

Data Analysis

Data harvesting, cleaning and reshaping. Development of automated workflows.

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Data Mining

Data exploration, application of statistical methods, reproducible data analysis.

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Dataviz

Creation of static and interactive data visualization and dashboards, review of scientific figures.

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Teaching & Training

Short talks or multi-day courses on data science, data engineering, Power BI, Tableau, data visualization, Python, matplotlib, dash, R, ggplot2, data analytics and more.

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Contact

Feel free to contact me for any question. For open source projects, please open an issue or pull request on Github. If you want to follow my work, reach me on Twitter. Otherwise, send me an email at akashbaidya2@gmail.com.