Hi, I am Md Shahriar Afridi, a passionate and dedicated Data Science Enthusiast. My technical skills are in Python programming, Pandas, Matplotlib, Scikit-Learn, SQL, Power BI, machine learning algorithms, and natural language processing (NLP. I am strongly interested in numbers, and digits, finding patterns between them, and predicting future outcomes. Finance knowledge builds my statistical and mathematical knowledge stronger. I am committed to continuous learning. I am enthusiastic about leveraging my skills to uncover insights that lead to strategic advantages and operational improvements.
0 + Projects completed
Previously, I worked at 10 Minute School in the Analytics and Growth Team, where I immersed myself in the fascinating business growth. My focus areas included Website Optimization and Keyword Research, where I applied research techniques to drive actionable insights. Academically, I hold a BBA Degree in Finance and Banking. Although I am not from a CSE background, I have a strong interest in numbers, and digits, finding patterns between them, and predicting future outcomes. Finance knowledge builds my statistical and mathematical knowledge stronger. I am committed to continuous learning. I am enthusiastic about leveraging my skills to uncover insights that lead to strategic advantages and operational improvements.
Encryptix is an IT services company that provides cutting-edge solutions in various domains.
10 Minute School the biggest learning app in Bangladesh that teaches more than 3 Million students every day.
Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.
This is a Machine Learning Project. I have done the entire project by using Python. IDE used in this Project is Jupyter Notebook and Pycharm.
This is an HR Analytics Dashboard created by using Power BI. The Main objective of this analysis is which Factors Influence an Employees to Resign Company.
Designed a power bi dashboard for USA based Supershop to know the sales insights of the store
A Machine learning Project aims to identify fraudulent transactions and minimize financial losses for banks, merchants, and customers.
From identifying top-selling products to understanding customer behavior, the insights drawn are invaluable for optimizing operations and enhancing customer experience.
This Project is based on Exploratory Data Analysis (EDA). I have uncovered some useful isights from this dataset. This Data is Available on Kaggle.
Below are the details to reach out to me!
Uttara, Dhaka, Bangladesh