# FULL NAME

[(Username) | Linkedin](https://linkedin.com)

[(Github username) (github.com)](https://github.com)

Email: awesome@gmail.com

mobile: (123) - 456 - 7890

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**EDUCATION**

Harvard Univerity

Master of Computer Application; GPA: 4.0

Univeristy of Southern California

Bachelor of Science (HONORS) - Mathematics; GPA: 3.8

Boston, MA

**June 2022 - August 2024**

Los Angeles, CA

**June 2018 - August 2021**

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**SKILLS SUMMARY**

**Languages**

**Frameworks**

**Tools**

**Platfroms**

**Soft Skills**

Python, SQL, JAVA

Pandas, Numpy, Scikit-Learn, Matplotlib

Power BI, Excel, PowerPoint, Tableau, MySQL, SQLife

PyCharm, Jupyter Notebook, Visual Studio Code, Itellij, IDEA

Rapport Building, Strong Stakeholder management, People Management

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**WORK EXPERIENCE**

**BUSINESS ANALYST INTERN | WS | ****[LINK](https://linked.com)**

**January 24- March 24**

- Streamlined data collection and reporting procedures, reducing processing time by 20% enhancing efficiency. • Implemented process improvements and automation solutions, resulting in 15% increase in productivity.

- Produced 15+ comprehensive reports and presentations summarizing findings and recommendations, facilitating clear communication with stakeholders and driving actionable outcomes.

- Conducted in-depth market research and analysis, resulting in the identification of 10+ key trends and insights that informed strategic decision-making processes.

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**PROJECTS**

**Student Performance Prediction | ****[LINK](https://linked.com)**

**December 23-February 2024**

- Achieved a 96% accuracy rate in forecasting student academic performance by developing and deploying a machine learning model.

- Conducted experiments with both classification and regression algorithms to identify the most suitable approach.

- Identified and comprehended key factors influencing academic performance through thorough analysis.

**Credit Card Fraud Detection | ****[LINK](https://linked.com)**

**September 23-October 2023**

- Developed and fine-tuned a logistic regression-based machine learning model achieving an 87% accuracy rate in predicting credit card fraud.

- Minimized false positives by 16% through rigorous feature engineering and hyperparameter tuning processes.

- Implemented under-sampling and ensemble techniques to address class imbalance, leading to 15% improved performance.

**Heart Disease Prediction | ****[LINK](https://linked.com)**

**July 23-August 2023**

- Orchestrated the development of a Logit model to predict heart disease, achieving an impressive accuracy rate of 91% and surpassing industry benchmarks.

- Demonstrated commitment to ethical data practices while contributing to the development of data-driven healthcare solutions. 

- Enhanced healthcare outcomes by 26% through accurate prediction of heart disease, positively impacting patient well-being.

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**CERTIFICATES**

**Programming in Python (Meta) | ****CERTIFICATE****
**

**March 2023
**

- Mastered fundamental Python syntax, proficiently utilizing control flow, loops, functions, and data structures. • Acquired expertise in procedural programming paradigms and associated logical concepts, enhancing capabilities.
- 

**Introduction to Data Analyst (IBM) | ****CERTIFICATE**

**March 2023
**

- Learned about the data ecosystem, including the ETL process and big data basics.  

**Foundations: Data, Data, Everywhere (Google) | ****CERTIFICATE****
**

**March 2023**

- Developed a comprehensive understanding of the data life cycle and various stages involved in the data analysis. o Introduced to diverse applications designed to streamline and optimize the data analysis journey, enhancing efficiency and accuracy.

## Pages

- [FULL NAME](https://slashpage.com/tpl-resume-1)