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Assadur Jaman  Rana

Assadur Jaman Rana

Data Analyst

Coders Data

Technologies

My Portfolio Highlights

My New Course

Introduction to Importing Data in Python

My New Project

Investigating Netflix Movies and Guest Stars in The Office

My New Course

Intermediate Importing Data in Python

Machine learning whisperer, taming algorithms to reveal their secrets.

My Work

Take a look at my latest work.

course

Introduction to Importing Data in Python

notebook

AssadurJamanRana/Random-Forest · GitHub

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GitHub - AssadurJamanRana/K-Means-clustering: I am learning k means clustering with different datasets.

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Data-Analytics-Portfolio/Data Cleaning Project/Data_Cleaning_Fifa21_Dataset _final.ipynb at main · AssadurJamanRana/Data-Analytics-Portfolio · GitHubD

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GitHub - AssadurJamanRana/Apriori-Algorithms-learning

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GitHub - AssadurJamanRana/Data-Analysis-: Learning Data Analysis with python

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Datacamp Introduction to Importing Data in Python

Coursera From Excel to Power BI

Coursera SQL for Data Science

uCertify Data Mining and Data Visualization

Sololearn Python Core

Sololearn Python Data Structure

Sololearn Python for Data Science

Udemy Decision Trees, Random Forests, Bagging & XGBoost: R Studio

IBM Introduction to Data Analytics

Vanderbilt University Data Management for Clinical Research

Udemy Statistics and Probability using Excel - Statistics A to Z

Udemy The R Programming For Data Science A-Z Complete Diploma 2021

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Coders Data | Sep 2023 - Present

Data Analyst

Job Description: Develop and maintained database using Tableau, Google analytics. Collaborate with stakeholder groups across the organization to ensure business and technology alignment. Propose solutions meeting defined specifications and needs. Prepare reports using tableau to interpret customer’s behavior, market opportunities. Analyze local, national, and global trends that impact both the organization and the industry for better sales. Identify new and potential products, collected, and examined data on established customers, marketing channels. Collect, clean and provide modeling and analysis of structured and unstructured data used for major business initiatives and complete focus groups to analyze roughly 50 client data and guide strategies to increase software. Manipulate and clean data using MySQL and SQL and provide an insight to perform cohort analysis where an opportunity is identified to decrease pricing by 15% for a certain segment of users. Visualize data using Tableau and present visually impactful dashboards to gain useful insights to the company and customers and data reporting was done using MS Excel pivot tables. Organize, analyze, and communicate findings to the senior level.
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Getweb Inc. | Oct 2020 - May 2022

Project Manager

I collaborated with healthcare companies to develop predictive models using data analytics and data science. My goal was to employ algorithms for predicting patient outcomes and identifying individuals at risk of specific illnesses, such as sepsis or readmission within 30 days of hospital discharge. In my projects, I collected a comprehensive dataset consisting of blood glucose readings and associated inputs like nutrition, exercise, and medication. Data was sourced from wearable technology, patient self-reporting, and electronic health records. Using feature engineering techniques like principal component analysis and correlation analysis, I with my team selected relevant attributes for the prediction model. To predict blood glucose levels, we utilized supervised learning methods including Linear Regression, Decision Trees, and Neural Networks. The choice of algorithm depended on the use case, dataset size, and complexity. The selected algorithm was trained on a subset of the data, ensuring accuracy and generalizability. Model performance was assessed using metrics such as mean squared error or root mean squared error. Overall, my data analytics and data science efforts involved collaboration, dataset collection, feature engineering, algorithm selection, training, and model evaluation using appropriate metrics.

Bangladesh Institute of Development Studies | Oct 2019 - Oct 2020

Research Officer

I spearheaded the project "Health Status and Healthcare-Seeking Behavior Assessment among Elderly Citizens in Bangladesh" from inception to completion. My responsibilities encompassed designing research methodologies, conducting quantitative and qualitative interviews, and performing data analysis. I collaborated closely with the project investigator to craft scientific reports. Moreover, I leveraged data from Bangladesh's Household Income and Expenditure Survey. Using a Python Jupyter notebook and the SciKit Learn package, I developed multiple models employing diverse methods such as linear regression, logistic regression, decision trees, Naive Bayes, KNN, K-means, and Random Forest. Additionally, I utilized Microsoft Excel and STATA for data analysis purposes. Throughout the project, I played a pivotal role in handling the study concept, implementation, research methodologies, data analysis, and reporting. By applying advanced analytical techniques and utilizing appropriate tools, I contributed to a comprehensive understanding of the health status and healthcare-seeking behavior among elderly citizens in Bangladesh.

My Education

Take a look at my formal education

Master of Science in Business AnalyticsTrine University | 2024
Master of Science in Public Health and InformaticsJahangirnagar University | 2017
Bachelor of Science in Public Health and InformaticsJahangirnagar University | 2016

About Me

Assadur Jaman  Rana

I'm a data scientist skilled in advanced analytics, programming, and data visualization. I contribute to informed decision-making, optimize processes, and drive growth through collaborative, data-driven solutions.

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