Possessing strong analytical, programming and collaboration skills with a passion for utilizing data to solve complex problems and drive business growth. Seeking to apply expertise in data analysis, data processing, and reporting to increase the efficiency and accuracy of data processing leading to growth and success. Dedicated and adaptable professional with a proactive attitude and the ability to learn quickly. Strong work ethic and effective communication skills. Eager to contribute to a dynamic team and support organizational goals.
Data Analysis Tools: Excel (Advanced), SQL (Intermediate), Tableau (Intermediate), Power BI (Basic)
Programming Languages & Tools: Python (Pandas, Nubby, Matplotlib), SQL, Excel, Tableau, Power BI, Java (Basic), C (Basic), HTMl, CSS, Javascript
Data Management: MySQL, PostgreSQL
Data Analysis Techniques: Regression Analysis, Data Visualization, Data Cleaning, Exploratory Data Analysis
Databases: MySQL, PostgreSQL, SQLite, Microsoft SQL Server, Technical Skills: Data Visualization, Statistical Analysis, Predictive Modeling, Machine Learning Basics
Linear regression model using Python.
Used Python to build a linear regression model for a company to determine CTC/ Salary for new hires based on their past employment data. Machine Learning model using various
.Classification Models to predict rainfall .
Created a Machine Learning Model using various Classification Models including Decision Trees and Ensemble methods, and compared the accuracy of each model
Tableau dashboard .
Created a visually interactive and informative dashboard that will help in understanding the sales figures better. The dashboard is easy to navigate and understand, with charts, graphs, and tables that are visually appealing and easy to interpret.
Auction strategy for a new IPL franchise.
Used SQL to develop an auction strategy for a new IPL franchise by analyzing past IPL data to create a strong and balanced squad.
Lead Scoring Prediction.
Build a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads.
Credit Card Defaults Predictions.
To identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc.
Web Scraping on
This project is to search for certified Mercedes-Benz cars on the first page of www.cars.com and extract specific data for each car.