CV
Education
- B.S. in Computer Science, BRAC University University, 2015
- M.S. in Computer Science, Technical University Berlin, 2019
Work experience
Vilua Healthcare GmbH
Data Scientist Nov 2019 – Present | Greifswald, DE
- Discovering & Developing metrics for the medical data science domain.
- Developing AI with GoLang
- Creating & manipulating Synthetic Data
- Clustering, Prediction, Recommendations with Machine Learning Models
- Creating & Visualizing Clustering-based automaton with Dashboard(Django, NetworkX, Bokeh)
Technical University Berlin
Student Research Assistant Oct 2018 – Present | Berlin, DE
- Statistical Model Analysis with Machine Learning & Deep Learning implementation for query based video data analysis.
- Deployed Deep Learning Model for prediction with Apache Flink , Apache Kafka and Kubernets
- Dataset Manipulation, Designing and Training Deep Learning Model with Python and Java
Freie University Berlin
Research Intern Oct 2018 – Present | Berlin, DE
- Object replacement in a cognitive AI system - OROC2.0.
ETL Process for batch data collected from Amazon MTurk using PySpark, SQL and Google Cloud Platform BigQuery
- Implementing \bf Machine Learning Model(Self Organizing Map, K-means Clustering) with Sci-kit, Ipython and Python.
- Sort out co-relation between data points and import variables.
- Designing Cognitive Artificial Intelligence Model with Neural Network with Java and Python.
- Creating, Cleaning & processing different Data set using Pandas and Python.
German & Turkish Advance Research Center
Student Research Assistant Feb 2017 – Dec 2017 | Berlin, DE
- Embedded System Programming, Robot manipulation and programming(C++,Python).
- Object Recognition with Computer Vision(C++,Python) - Gazebo, Blender, OpenCV, ROS & Caffe.
Skills
PROGRAMMING
- Java,Python,
- Scala & C#
- SQL
- JavaScript, HTML, andCSS
SYSTEM&FRAMEWORK
- ETL
- ApacheFlink&Spark
- ApacheAirflow
- Sqoop & Kafka
- Google Cloud
- SQL & Bigquery
- Docker & Kubernets
- NoSQL,SQL
- GitLab and Github
- Pandas,NumPy,Sci-kit
- Jupyter
- Tensorflow ,Keras & Deeplearning4j
MACHINE LEARNING & DEEPLEARNING
- Statistical modelling
- Regression
- Support Vector Machines
- Naive Bayes
- K-Nearest Neighbors
- Decision Trees & RandomForest
- Gradient Boosting
- Cluster Analyses
- Detection & Classification
- CNN,LSTM,RNN