Sakshi Kushwaha

Aspiring Data Analyst & Web Developer
Greater Noida, IN.

About

Ambitious B.Tech student with dual internship experience in Data Analysis and Web Development, adept at transforming complex data into actionable insights and building robust web solutions. Skilled in Python, Power BI, SQL, and machine learning, with a proven track record of improving reporting efficiency by 40% and reducing manual data preparation by 60%. Eager to apply strong analytical, problem-solving, and development skills to drive impactful outcomes in a challenging technical role.

Work

AVSG & Co
|

Data Analyst Intern

Greater Noida, Uttar Pradesh, India

Summary

Spearheaded data analysis initiatives to enhance reporting efficiency and provide critical insights for financial decision-making within a hybrid work environment.

Highlights

Developed dynamic, interactive dashboards using Power BI and Excel to track key performance indicators (KPIs) such as monthly revenue, cost optimization, and project timelines, improving reporting speed by 40%.

Automated routine reporting workflows with Python (Pandas, NumPy) and SQL, reducing manual data preparation time by 60% and enhancing data accuracy.

Designed and deployed insightful visualizations for financial audits, enabling clearer interpretation of complex financial data and supporting strategic decisions.

Techonocolabs Software Inc
|

Web Developer Intern

Remote, Remote, India

Summary

Contributed to web application development, focusing on secure user authentication and improved user experience for an educational platform in a remote setting.

Highlights

Developed a secure, responsive login and registration page using HTML5, CSS3, JavaScript, and Bootstrap, significantly enhancing user authentication and overall experience for an educational website.

Integrated robust form validation and session management protocols, ensuring data privacy and elevating security standards, which led to a 30% reduction in login errors.

Education

Galgotias University
Greater Noida, Uttar Pradesh, India

B.Tech

Computer Science & Engineering

Grade: 8.59 CGPA

Azad Public School
Bulandshahr, Uttar Pradesh, India

High School Diploma

Intermediate Studies

Grade: 87.4%

Skills

Programming Languages

Java, Python, C, C#, MySQL, HTML-CSS, Javascript.

Data & Machine Learning Tools

Power BI, RDBMS, AI, ML, MS Excel, Tableau, Git, GitHub.

Professional Competencies

Leadership, Team Coordination, Strategic Development, Analytical Decision-Making.

Projects

Credit Card Fraud Detection

Summary

Built a predictive machine learning pipeline to identify fraudulent credit card transactions using imbalanced historical data. • Performed extensive data preprocessing and feature engineering with pandas and scikit-learn to improve model performance. • Trained and evaluated multiple classification algorithms including Logistic Regression, Random Forest, and XGBoost, achieving an accuracy of 95% and significantly improving fraud detection rates. • Applied SMOTE to handle class imbalance