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$
USD
I will analyze data using python pandas and numpy
Full Stack Developer Data Analyst Modern Web and Systems Developer
Hi! I’m Tawhidullah, a professional Full-Stack Developer and Data Analyst with 4+ years of experience in software development and data science.
I help businesses turn ideas into scalable, secure, and...
About this Gig
I am Tawhidullah, a professional Data Analyst with experience in analyzing business and healthcare data. I specialize in working with company sales data and hospital datasets to generate meaningful insights and support data-driven decisions.
What I Offer:
- Sales data analysis for companies
- Healthcare and hospital data analysis
- Data cleaning and preprocessing
- Data wrangling using Pandas and NumPy
- Exploratory Data Analysis EDA
- Data visualization using Matplotlib and Seaborn
- Basic model training and testing for data insights
Why Choose Me:
- Experience with real-world business and healthcare data
- Strong skills in Python, Pandas, and NumPy
- Accurate analysis and clear reporting
- Professional, reliable, and detail-oriented
- Fast delivery and responsive communication
Message to Clients:
I am committed to helping you understand your data and improve your decision-making through reliable analysis. Feel free to contact me before placing an order so we can discuss your project in detail and achieve the best results.
My Portfolio
FAQ
Q: What tools do you use for data analysis?
A: I use Python with Pandas, NumPy, Matplotlib, and Seaborn for analysis and visualization.
Q: Do you provide data visualization?
A: Yes, I create clear and professional charts and graphs to explain insights.
Q: Can you train simple machine learning models?
A: Yes, I can build and test basic models depending on the dataset and requirements
Q: What tools and libraries do you use?
A: Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn for analysis, visualization, and modeling.
Q: Do you use machine learning models?
A: Yes, I can apply basic supervised learning models for prediction, classification, and evaluation depending on the dataset.
Q: What statistical methods do you use in data analysis?
A: I use descriptive statistics (mean, median, mode, variance, standard deviation), inferential statistics, correlation analysis, and probability distributions to extract insights.
Q: What types of data can you analyze?
A: structured, semi-structured, unstructured
