ABOUT ME

Hi, I am Mashhood Ali, a Data Scientist and an Amateur Blogger. For the last 2 years I am working as a Data Analyst at Milleniance Softnet Pvt. Ltd.

At my current company, I had the opportunity to work on a variety of data-driven projects, from exploratory data analysis to predictive modeling. One notable project involved developing a predictive maintenance model for optimizing equipment uptime, which resulted in a 15% reduction in downtime and significant cost savings for the company. These experiences have honed my ability to extract meaningful insights from complex datasets and translate them into tangible business outcomes.

I am proficient in a range of programming languages and tools commonly used in data science, including Python, SQL, and TensorFlow. Additionally, my strong foundation in statistical analysis and machine learning techniques enables me to effectively tackle diverse challenges and adapt to evolving project requirements. I am also adept at data visualization techniques, using tools such as Matplotlib, Seaborn, and Tableau to communicate findings in a clear and compelling manner.

I also did an internship for four months at DevTown, an edu startup, where I first fully made my hand dirt with Data Analysis and ML environments. This helped me become better at solving problems using data and fancy techniques. I can also build things on the internet, which helps make data easier to understand for everyone.

In 2022, I graduated with a Master's degree in Electronics from Jamia Millia Islamia University. While there i studied lots of theoretical and practical concepts of Electronics and Communications and Core programming in C and C++. I also worked on a Machine Learning Application as a final year project there.

One of my passions outside of work is sharing knowledge through blogging. I occasionally write about technology trends, data-driven insights, and industry developments, demonstrating my ability to communicate complex concepts in an accessible and engaging manner. This passion reflects my commitment to staying current in the field and contributing to its growth. Doing blogging also made me familiar with SEO and tools like Google Analytics and Search Console.

SKILLS EXPERTISE

PROJECTS I DID

CNN based Image Classification Deep Learning Model

This is a Convolutional Neural Network (CNN) based deep learning project that consist of several layers, including convolutional layers, pooling layers, and fully connected layers. These layers work together to extract features from input images and make predictions about their contents.

Loan Status Prediction Data Science Project

This is a Loan Status Precticting Data Science project which I did during the DevTown internship in which we have first taken the raw data, done some initial EDA, cleaned the data which took most of the time, visualize the data, answered some questions asked by the tutor and finally created a Machine Learning model.

Employee Data Analysis SQL Project

This is an SQL project to analyze the employees data of a company. In this project, I have used various SQL complex commands like JOIN, Group by to answer the questions asked.

HR Data Analysis Dashboard in Tableau

This is HR data of employess in a company in which I have analyzed the attrition of employees based on their departments, gender, age etc. I have taken various KPI like 'employee count', 'attrition count' and others which can be seen using various filters like Gender Filter, Department Filter etc.

House Sales Price Data Visualization and Dashboard Making in Tableau

In this project, I have taken Washington House Sales Price Data to visualize it in Tableau. In this, we have used filters like calender, year-built, sqft Lot, and sqft Living to analyze different parameters like distribution of house prices, price heatmap, distribution of bathrooms and bedrooms etc.

FIFA Player's Data Analysis Using Python and WebScraping

In this project, I have scraped the website 'sofifa.com' using BeautifulSoup to get the data. Perform basic EDA and data cleansing to get all the clean data. Analyzed the player's data using Python libraries like pandas, numpy, matplolib, and seaborn. And finally answered some questions like 'Top 10 best players according to their potential', 'Which player is getting highest salary', 'Top 10 oldest players' etc.

Car Price Prediction Machine Learning Project

This is a car price ML project in which first, I acquire the raw data, clean the data throughly, done some EDA and finally applied Machine Learning algorithm. After doing Confusion Matrix, I found XGBoost is giving better accuracy for this type of data. Finally applied the alogrithm for the model.

SQL Tutorial for Beginnners (Article)

This is a blog tutorial on SQL for beginners which I write for my website. It gives a consize and to the point learning material for the beginners.

CERTIFICATIONS

Data Science Internship Certification - DevTown

MySQL and Tableau for Data Analytics and Business Intelligence - Udemy

LOR