I am an engineer with specialized expertise in machine learning and data science. My strong foundation in data analytics is enhanced by my proficiency in Python, and supplemented by strong skills in Power BI, Excel, and SQL. These tools enable me to develop and implement innovative solutions that address complex challenges, extract meaningful insights from vast data sets, and drive efficiency and innovation across a range of applications.
- Programming: Python, R, Bash, C++
- Data Science: SQL, Power BI, Excel, STATA
- Machine Learning: TensorFlow, Keras, Pytorch
- Visualization & Interfaces: Power BI, OpenCV, Streamlit, Plotly, Dash, Matplotlib
- Tools & VCS: Git, CLI
- Analytics: Data Visualization, Finding Key Performance Indicators (KPIs)
MSc in Microsystems and Microelectronics (MEMS) Technology University Hamburg (TUHH)/Graduated: Feb 2024
- Masters Project: New product Development strategy: Topic modelling based on Latent Dirichlet Allocation Algorithms (NLP).
- Master Thesis: Noise detection in High Density Point Cloud Data from a White Light Interferometer using deep learning.
- Focus: Machine Learning, and Data Science
BSc in Electrical and Electronic Engineering (EEE) American International University โ Bangladesh (AIUB)/Graduated: Feb 2016
- Bachelor Thesis: Mapping of Mammalian Purkinje Network on an Electrically Equivalent Circuit
- Focus: Electronics and Image Data
I am passionate about:
- Machine learning
- Databases
- Data Analytics
- Data Science
- KPI Analysis