NAHIYAN BIN NOOR

+1-501-***-**** Little Rock, AR

adwgtl@r.postjobfree.com linkedin.com/Nahiyan Bin Noor CAREER SUMMARY

Motivated and talented data scientist proficient in Python, R, and SQL. Skilled in analyzing datasets and using data visualization tools to communicate insights and don’t require any visa sponsorship. EDUCATION

Master of Information Science, University of Arkansas at Little Rock Expected May 2023 Relevant Coursework: Analysis of Algorithms, Artificial Intelligence, Operating Systems, Digital Image Processing, Engineering Statistics, Linear Algebra, and Social Computing. Graduate Certificate in Data Science, University of Arkansas at Little Rock May 2023 Relevant Coursework: Database System & Info Arch., Data Protection & Privacy, Data Science & Technology and Information Visualization

B.Sc. in Electrical & Electrical Engineering, Chittagong University of Engr. & Tech Oct 2019 SKILLS

Programming Languages: Python, Go, SQL

Tools: Pandas, Sci-kit Learn, Seaborn, NLTK, CNN, Git, NumPy, Tableau, Hadoop, Spark Others: TensorFlow, Keras, Matplotlib, OpenRefine, Git, AWS, PyCharm, Jupyter, MATLAB. EXPERIENCE

Research Assistant - Data Science Aug 2022 - Present Collaboratorium for Social Media and Online Behavioral Studies (COSMOS) Research Center, UALR Little Rock, AR

• Developed Web Scrapper to collect data from Reddit using Python, PushshiftAPI and collected more than 2 million posts and comments.

• Generated toxicity score using Python Detoxify model, Compared the Toxicity on Twitter, Reddit and Parler and found Reddit most Toxic platform with the average toxicity score of 0.36 Data Science Intern Summer 2022

Data Glacier Remote

• Conducted exploratory data analysis (EDA) on 300+ rows of data and prepared a presentation about taxi market trends for G2M investing using in Jupyter notebook and presented findings using Data Intake Report.

• Created a machine learning model and used Python’s Flask package to deploy it as a web app, using Heroku to make it more user-friendly.

Electrical Data Analyst Nov 2020 - Jul 2021

Renata Limited Bangladesh

• Recorded, and expedited production data from 20+ production machines such as Blister, and Encapsulation Ma- chines, and performed data analysis on the data in order to predict the future risk of machine breakdown.

• Supervised a team of 30+ Junior Engineers in recording the data for the HVAC system in order to do further analysis and prediction.

PROJECTS

Traditional Bengali Food Classification using Different Deep Learning Model. Classified 7 type of food images using Transfer Learning and got the highest 94% accuracy for VGG19 model. (TensorFlow, Keras) (Github) Dec 2021 Blood Hemoglobin Level Prediction from Eye Conjunctiva images using Machine Learning. Collected 104 eye images from patient with their blood hemoglobin level. Assessed those features for scaling, screening outliers, analyze the pattern and got the highest 84% for predicting Anemia and 89% for predicting Hemoglobin level. (Github) Oct 2019 - Current