KHUSHI SHARMA

Entry-Level Data Scientist
Greater Noida, IN.

About

Highly motivated and detail-oriented aspiring Data Scientist with strong analytical, programming, and data handling skills. Eager to leverage hands-on experience in data analysis, visualization, and machine learning to contribute to real-world data projects and drive impactful insights within a forward-thinking organization that that values continuous learning and innovation.

Work

Codsoft
|

Data Science Intern

Remote, N/A, India

Summary

Contributed to real-world data science projects, applying analytical, visualization, and machine learning techniques to develop end-to-end data solutions.

Highlights

Executed end-to-end data science projects, applying advanced techniques in data analysis, visualization, and machine learning to solve real-world problems.

Gained hands-on proficiency with Python and key data science libraries including Pandas, NumPy, Matplotlib, and Scikit-learn, for data manipulation and model development.

Successfully completed tasks such as predictive modeling and data preprocessing, contributing to the development of robust data-driven solutions.

Education

Sunderdeep Engineering College
Ghaziabad, Uttar Pradesh, India

B.Tech

Computer Science Engineering

Grade: 74.98%

Languages

English
Hindi

Certificates

Data Scientist Training

Issued By

Ducat IT India Pvt. Ltd.

Python with Tkinter Applications

Issued By

Softpro India

Python with DSA

Issued By

YBI Foundation

ICT Academy Certificate

Issued By

Infosys Academic

Skills

Programming Languages

Python, C Basics, VBA.

Data Science Libraries

Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Tkinter.

Data Analysis & Visualization

Advanced Excel (Pivot Tables, VLOOKUP, HLOOKUP, Conditional Formatting), PowerBI.

Databases

Microsoft SQL Server Management Studio (SQL), MySQL.

Version Control

Git, GitHub.

Soft Skills

Problem-solving, Analytical Thinking, Communication, Interpersonal Skills, Adaptability, Time Management, Decision Making.

Projects

Titanic Survival Prediction

Summary

Developed a machine learning classification model using logistic regression and decision trees to predict passenger survival, demonstrating an end-to-end data science workflow.

Sales Prediction

Summary

Implemented regression models to forecast future sales based on historical trends, providing actionable business insights for strategic planning.

Credit Card Fraud Detection

Summary

Designed and implemented a supervised learning-based system to detect fraudulent credit card transactions, enhancing security and minimizing financial risk.

Online Shopping Store Dashboard in Excel

Summary

Created an interactive Excel dashboard for an online shopping store to visualize key sales, revenue, and customer trends.

Diabetes Risk Forecaster Using Machine Learning

Summary

Developed a machine learning model to predict diabetes risk based on health metrics, aiming to improve early detection accuracy.

Amazon Shopping Sale Dashboard in PowerBI

Summary

Constructed an interactive Power BI dashboard to visualize Amazon sales data, providing key metrics for product and revenue performance.

KHUSHI SHARMA