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About Me

I am an engineer with specialized expertise in machine learning and data science. My strong foundation in data analytics, enhanced by my proficiency in Python, equips me to develop and implement innovative solutions that address complex challenges. My skills enable me to extract meaningful insights from vast data sets, driving efficiency and innovation across a range of applications.


Expertise

  • Programming: Python, R, Bash, C++
  • Data Science: SQL, Power BI, STATA
  • Machine Learning: TensorFlow, Keras, Pytorch
  • Visualization & Interfaces: OpenCV, Streamlit, Plotly, Dash, Matplotlib
  • Tools & VCS: Git, CLI

Education

MSc in Microsystems and Microelectronics (MEMS) Technology University Hamburg (TUHH)/Graduated: Feb 2024

  • Masters Project: New product Development strategy: Topic modelling based on Lenten Dirichlet Allocations Algorithms (NLP).
  • Master Thesis: Noise detection on High Density Point Cloud Data from a White Light Interferometer using deep learning.
  • Focusing on computer vision, machine learning and data science

BSc in Electrical and Electronic Engineering (EEE) American International University – Bangladesh (AIUB)/Graduated: Feb 2016

  • Bachelor Thesis: Mapping of Mammalian Purkinje Network on an Electrically Equivalent Circuit
  • Focusing on Electronics and Image data

Interests

I am passionate about:

  • Computer Vision
  • Image Processing
  • Deep Learning
  • Biomedical Image Analysis
  • Point Cloud

Khandoker Tanjim Ahammad's Projects

systematic_literature_review icon systematic_literature_review

The analysis was conducted using the Pyscopus plugin for python (84). Pyscopus is a wrapper for the scopus API; scopus is the world’s largest database of peer reviewed literature. The search used the query function “TITLE-ABS-KEY” which searches for a set of words within the title, abstract, and keywords section of all papers within the scopus database. Additionally a proximity factor “w/10” was used indicating that the key words should be within 10 words of each other, this was done to ensure results actually referred to the FEW nexus and not abstracts which simply had all of those words present. This approach means that papers which discuss only two nodes of the nexus, for example a paper about the water-energy nexus, were excluded unless the full nexus was explicitly mentioned.

twitterfollowerfinder icon twitterfollowerfinder

This reposetory is use for generating user's followers informaiton. it can scrape various information from the users followers. However, for using this reposetory one might need a twitter developer account and twitters api keys. detail information about opening a twitter developer accounts can be found in the following link Advanages

twitterhashtaggenerator icon twitterhashtaggenerator

twitterHashtagGenerator Its a simple tool to manage twitter hasgtag query in a excel file. using Twitter developer api and tweepy this whole script was written. Because its uses twitter developer api it can only scrape upto 1000 users informations.

twitteruserfinder icon twitteruserfinder

Its a simple tool to manage twitter query in a excel file. using Twitter developer api, tweepy and tkinter this whole script was written. Because its uses twitter developer api it can only scrape upto 1000 users informations.using tkinter i have made a very simple user interface so that any no tech background people who does not know how to write a code can also work with this script.

value-at-risk-analysis icon value-at-risk-analysis

Value at risk (VaR) is a measure of the potential loss that an asset, portfolio, or firm might experience over a given period of time. Standard deviation, on the other hand, measures how much returns vary over time.

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