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NazmulHasanNihal/README.md

I'm an Fullstack Data Scientist

⚡ I'm Md Nazmul, an aspiring Data Scientist with a strong academic background in Computer Science, eager to apply theoretical knowledge to real-world problems. Proficient in Python, R, and SQL, with hands-on experience in data analysis, machine learning, and data visualization through projects. I am skilled in leveraging tools like Pandas, NumPy, Scikit-learn, and Tableau to extract insights and build predictive models. A quick learner with a passion for continuous improvement committed to developing innovative solutions to complex challenges and seeking an opportunity to contribute to data-driven decision-making and grow within a dynamic team.

My Skill Set

Languages

Python icon Scala icon R icon Julia logo MATLAB icon

Databases

MySQL logo PostgreSQL logo MongoDB logo Cassandra logo Snowflake logo Neo4j logo

Automation & Scripting

GNU Bash logo PowerShell logo Apache Airflow icon Terraform logo Apache NiFi logo

Version Control & Collaboration

Git logo Github icon GitLab icon

Data Analysis & Manipulation

Numpy icon Pandas logo Excel icon Dask icon Polars icon

Big Data & Distributed Computing

Apache Spark icon Apache Hadoop icon Apache Kafka icon Apache Flink icon Apache Hive icon

Deployment & DevOps

Docker icon Kubernetes icon Django icon

Machine Learning & Deep Learning

Scikit-Learn icon TensorFlow icon Keras icon PyTorch icon XGBoost icon LightGBM icon

Data Visualization

Matplotlib icon Seaborn icon Plotly icon Power BI icon Streamlit icon

Software Development Tools

Visual Studio Code icon Visual Studio icon PyCharm icon Jupyter Notebook icon RStudio icon DBeaver icon Anaconda icon Sypder icon Linux icon Ubuntu icon

Connect with me


Github Stats


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  1. Race-Performance-Analysis-and-Prediction-in-Formula-1-World-Championship Race-Performance-Analysis-and-Prediction-in-Formula-1-World-Championship Public

    This project aims to analyze and predict the performance of drivers and teams in F1 races using historical data. This project will involve extensive data collection, cleaning, exploration, visualiz…

    Jupyter Notebook

  2. Customer-Segmentation-using-RFM-Segmentation-in-SQL Customer-Segmentation-using-RFM-Segmentation-in-SQL Public

    Customer segmentation using RFM analysis on Superstore Sales Data. Cleaned data, performed exploratory analysis, and segmented customers based on Recency, Frequency, and Monetary metrics in SQL. Vi…