A Data Scientist expert in Statistical Data Analysis, Python, R, SQL, Excel, and SPSS
As a Data Scientist, I bring a strong blend of analytical prowess and technical expertise to extract meaningful insights from complex datasets. With a deep understanding of machine learning algorithms, statistical modeling, and data visualization techniques, I am skilled at turning raw data into actionable strategies that drive business growth and innovation. My experience spans across developing predictive models, optimizing processes through data-driven decisions, and leveraging big data technologies to solve real-world problems. Proficient in Python, SQL, and various data management tools, I am dedicated to continuous learning and staying at the forefront of industry trends. I thrive in collaborative environments where cross-functional teamwork and effective communication are key to success. My passion lies in uncovering the hidden patterns within data to help organizations make smarter, faster, and more informed decisions.
This a Dashboard of a bike selling shop made with Microsoft Excel. The Dashboard shows us the customer's pattern, age distribution, marital status. We can filter the customer according to the region, accupation. Those information can help the owner to make any change in business plan for better sell.
This project is made with SQL. I have done some queries on
Covid-19 dataset. Operations I have done are:
1.Looking total cases vs total deaths as Percentage, 2.Countries
with the highest death percentage, 3.Global Numbers(death and
total infection per day), 4.Looking at Total Population vs
Vaccination using join function with anather dataset called
vaccination, 5.Looking at the percentage of vaccination using CTE,
6.Creating View to store data for later Visualizations
This is a Recurrent Neural Network project. In this project I have used LSTM(Long Short Term Memory) to train the model. It is a Sequential model which can predict next word according to the user input like a smart keyboard. I heve trained the model as supervised learning method. The dataset contains 57000 thousands of words that was feeded to the model.
A brain stroke, also known simply as a stroke, occurs when the blood supply to a part of the brain is interrupted or reduced, preventing brain tissue from getting the oxygen and nutrients it needs. Without immediate medical attention, brain cells begin to die within minutes. There are two main types of strokes...
Prophet is a forecasting algorithm developed by Facebook designed to handle time series data. It is specifically useful for forecasting data that exhibits seasonality, trends, and other recurring patterns. Prophet is robust and can work with missing data, outliers, and shifts in the trend due to....
I am a statistics student having skill on
R, Python, SQL, Excel, Tableau, SPSS, Machine Learning, Data
Mining, Neural Network. I am currently enrolled on Master's degree in Statistics,
Mawlana Bhashani Science and Technology University. I have basic
knowledge of Web Development. I have 1 year of experience on
MERN stack web development.
I love to travel. I love to
explore new Technology.