Looking for an opportunity in the field of Data (Science & Analyst) || Courses (With some Internships) are learning in the field of Data (Science & Analyst) etc. || Power BI Developer || Expert as M.S.Office || Part time working as Tutor..
0 + Projects completed
Data Analyst Intern with 3+ months of experience driving business strategies through data-driven insights. Proven expertise in data science, statistical analysis, machine learning algorithms and project management.
TEACHNOOK is an online learning service provider that offers programs across various domains such as computer science, electronics, management, and biotechnology.
MeriSKILL is a rapidly expanding Edtech platform with a global presence, reaching over 50+ countries including India, the United States, the United Kingdom, Canada, and many more.
In Computer Science & Engineering
Dr A.P.J. Abdul Kalam Technical UniversityGrade: First class distinction.
Grade: First class distinction.
Grade: First class distinction.
Below are the sample Data Analytics projects on Power BI, Excel, SQL, Python & ML.
Analyze sales data to identify the Orders, Sales, Profit and Quantity Ordered of the Products. Also Analyze Sales by Region, Sales by City, Sales by Product.
Insights on Attrition at a particular company, it shows the attrition rate of the employee based on various categories such as age, gender, job role, education, job satisfaction rate etc .
Choose any dataset of your choice, apply a suitable algorithm (Regression/Classification) and create a model, Using Python and Machine Learning
The main objective of this project is to analyze retail sales data to gain actionable insights that will enhance the performance of the Coffee Shop.
This sales dashboard provides a comprehensive overview of sales performance across various regions including Chennai, Delhi, Mumbai, Nagpur, Patna, Pune, Ranchi, and Surat.
I designed a comprehensive Sales Dashboard designed using Excel. This dashboard is an essential tool for visualizing sales performance across different regions, helping to drive business growth through data-driven decisions.
Below are the sample Data Analytics Self Learning on Python Library.
"Sure! NumPy is a Python library for numerical computing. It's great for handling large datasets and performing mathematical operations efficiently. With NumPy, you can create arrays (multi-dimensional data structures), manipulate them easily, and perform various mathematical operations like addition, subtraction, and more. It's a must-have tool for anyone working with data or doing scientific computing in Python.".
Certainly! Pandas is another essential Python library for data manipulation and analysis. It provides powerful data structures like DataFrame and Series, which allow you to work with structured data easily. With Pandas, you can load data from various sources, clean and preprocess it, perform data exploration and analysis, and then visualize the results. It's widely used in data science, machine learning, and data analysis projects due to its simplicity and efficiency..
Matplotlib is a popular Python library used for creating static, interactive, and animated visualizations. It provides a wide range of plotting functions and styles, allowing you to create various types of plots such as line plots, scatter plots, bar plots, histograms, and more. Matplotlib is flexible and customizable, enabling you to adjust the appearance of your plots with labels, titles, colors, and styles. It's widely used in data analysis, scientific research, and visualization projects due to its simplicity and versatility.
Below are the details to reach out to me!
Lucknow, India