S M Asaduzzaman | Data scientist

Hi, I'm S M Asaduzzaman

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Self-driven, quick learner, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I am currently working as an R&D Engineer at Data Insightopia, where I focus on cutting-edge solutions in Data Science and Machine Learning. Previously, I served as a Research Engineer at Time Research & Innovation, gaining over 4 years of experience in Python, Flask, and Data Science. I hold a Bachelor’s degree from the American International University-Bangladesh (AIUB) and have completed my Master’s in Applied Statistics and Data Science from Jahangirnagar University. My passion lies in developing innovative and complex applications to tackle real-world challenges that impact millions of users. As a problem solver at heart, I enjoy coding, continuously expanding my knowledge, and collaborating with experienced professionals to contribute to meaningful and impactful projects. 🚀

Languages: Python, C, C++, HTML/CSS, Bash
Databases: MySQL,SQL
Libraries: NumPy, Pandas, matplotlib,Seaborn
Frameworks: Flask, Keras, TensorFlow
Tools & Technologies: Git, Docker
BI Tools: PowerBI,Tableau
Research Interest: Machine Learning & Artificial Intelligence, Computer Vision, Healthcare, Cybersecurity, Data Science & Predictive Analytics, Mobile & Smart Applications, Sustainable Technology Solutions

Feel free to connect with me through my LinkedIn profile or the contact form on this website for any relevant opportunities or just to connect. Thank you for visiting my website! To know more Click To See Resume

Experience

Time Research & Innovation

Research Engineer

Data Analysis and Managed the Research Work Using Flask,Python,Machine Learning and SPSS.
Lead My Research Team on Several Projects Based on IoT, Telemedicine, Machine learning, and Data Analysis.
Increased research output of team members through proper implementation of (add the tools/methods used to increase research output)which led us submitting the highest number of research papers in reputed journals and conferences.

Languages:

Techniques: : Regression, Classification Image, Linear regression, Anomaly detection, Decision tree, Time Series Analysis, IoT
Award: Best Employee of Tri, Best Employee of Department in Tri
Library: Pandas, Numpy, Matplotlib,Seaboarn,Keras,TensorFlow

Dec 2021 - Current | Dhaka, Bangladesh

Time Research & Innovation

Research Associate

Data Preporecssing Python, Machine Learning, SPSS, Pnadas, Numpy.
Assisting the team leader in Writing the Research paper, Funding Application, Designing the IoT Product, Machine learning for Image processing and making the pitch deck for Government Authorities and Private investor
Create Project Proposal, Sketch the Initial Idea and Budget, Pitch to Investors and Clients.
Languages: C++, Python, SQL
Techniques: Exploratory Data Analysis, Anomaly detection, Normalising, Transforming
Award: Best Employee of the month, Shining Star of Tri, Best Employee of Department in Tri
Library: Pandas, Numpy, matplotlib,Seaboarn

Dec 2019 - Dec 2021 | Dhaka, Bangladesh

Projects

                
Diabetes Prediction Appadd
                 This app for Prediction Whethere user has Diabetes or not
                
AccomplishmentsTools: Flask,Python,Pandas,Numpy,
                    Matplot,Seaborn,scikit-learn,RandomForrest,
                    HTML,CSS,Docker,Render
Diabaetes Prediction With Machine Learning model
Taking some parameter from the user Input 
Showing the Prediction
User can Test unlimited

Drug Predictionadd
                  Measuring the Age,BP,Cholesterol It predicts the necessarry Drug Prediction
                
AccomplishmentsTools:  Flask,Python,Pandas,Numpy,
                    Matplot,Seaborn,scikit-learn,RandomForrest,
                    HTML,CSS,Docker,Render
No log in required
Just giving a few Input Use can ask for the medicine
The Module will analysis through machine 
                    Learning model and will give the output
This is a prototype

Facial Recognitionadd
                  Facial Recognition Using CNN 
                
AccomplishmentsTools: Python,Pandas,Numpy,Matplotlib,Keras,CNN
Image Recognition System Build up With CNN 
User Can Utilize it with his model 

Regressionadd
                  Regression applied in an insurance Data
                
AccomplishmentsTools:Python,Pandas,Numpy,Matplotlib,scikit-learn
EDA Has applied
Data Cleaning
Data Preprocessing
Linear Regression For Polynomial Features

Grid Searchadd
                  Grid Serach For Parameter Tuining of Random-Forrrest Model
                
AccomplishmentsTools:Python,Pandas,Numpy,
                    Matplotlib,scikit-learn
EDA Has applied
Data Cleaning
Data Preprocessing
RandomForrest Has Been Applied For This DataSet 
Using Grid search parameter Tuining Has been implemented

addOnline Retail Customer
                  Data Analysis For Online Reatil Customer and Clustering It 
                
AccomplishmentsTools:Python,Pandas,Numpy,
                    Matplotlib,scikit-learn
EDA Has applied
Data Cleaning
Data Preprocessing
Clustering The Data Set for Targeted Customer

LinkedIn Web scrapperadd
                  A Scrapper Tools For Getting information of Different Job Post
                
AccomplishmentsTools:Python,Selenium,Beautifulsoup
Users Can Choose Which Profession they
                    want to scrap 
                  
Users Can Choose How many pages  they
                    want to scrap 
                  
output will be in .CSV File

Skills

Languages and Databases

Python

C++

HTML5

MySQL

Shell Scripting

Matlab

Frameworks

Flask

Keras

TensorFlow

Libraries

NumPy

Pandas

matplotlib

Seaborn

Scipy

scikit-learn

Tools

Jupyter Notebook

Virtual Studio Code

Google Colab

Power BI

Tableau

SPSS

Other

Git

Docker

render

Heroku

Education

Jahangirnagar University

Savar,Bangladesh

Degree: Masters in Applied Statistics and Data Science
CGPA: 3.88/4.00

Relevant Courseworks:

Statiscial Method
Intrduction To Data Science With Python
Probability & Distribuiton
Machine Learning
Data Mining
Big Data
Time Series Analysis

American International University-Bangladesh (AIUB)

Dhaka, Bangladesh

Degree: Bachelor of Science in Electrical and Electronic Engineering
CGPA: 3.96/4.00

Relevant Courseworks:

Programming Languages(C,C++)
Micropreocessor
VLSI
Digital Logic Design

Award

            
Summa Cum Laude
              Receiving The Summa Cum Laude 
              From The Honorable Dean and 
              Associate Dean
            
            Accomplishments
            Summa cum laude is an honorary title used by 
                educational institutions to signify a degree that 
                was earned "with the highest distinction."

Dean's For CapstoneReceiving Capstone From The Honorable Dean 
                  and Associate Dean
                
                Accomplishments
                Only Three group have Selected among the 100 groups
I was Selected for Capstone Project along with my three groupmates 

Dean's For AcademicReceiving Deans Award For The First Time
                  
                  Accomplishments
                  A dean's list is an academic award, or distinction, used to recognize the highest 
                        level scholarship demonstrated by students in a college or university
I have Received This Award For 4 Times

Publication

                
Sign Language An Efficient Sign Language Translator Device Using 
                Convolutional Neural Network and Customized ROI Segmentation
                
AccomplishmentsThis study is divided into risk factor analysis (RFA) and 
                      proposed system architecture (PSA). The light gradient boosting machine (LightGBM) 
                      algorithm in the RFA will work with the PSA to predict the risk factors. 

COVID-19 Risk FactorsAnalysing and Identifying COVID-19 Risk Factors 
                  Using Machine Learning Algorithm with Smartphone Application
                
AccomplishmentsThis paper aims to demonstrate a user-friendly approach 
                      towards Bangla Sign language to text conversion through customized 
                      Region of Interest (ROI) segmentation and Convolutional Neural Network (CNN).

ANGUIDESHybrid Machine Learning model for A Next-Generation 
                  Ecofriendly Travelling and Guides to Reduce Carbon Emissions
                
AccomplishmentsIn this study, we analysed human sentiment through Natural Language 
                      Processing (NLP) and Machine Learning (ML) to propose a hybrid software 
                      framework (HSF) that will automatically fulfil people’s needs and reduce 
                      carbon emissions

Defect DetectionIndustrial Product Defect Detection Using 
                  Custom U-Net

AccomplishmentsThis model was trained on six different classes of 
                      data-sets to assess the model’s capability on different 
                      image textures and resolutions. The proposed model had an 
                      overall accuracy of 97.25%.

Contact

smasaduzzaman95@gmail.com

github.com/SMAsaduzzaman/

linkedin.com/in/s-m-asaduzzaman/

Skype:live:.cid.3c3b52b53bbccd2f

+88016816541338