SQL,Python,C++,Statistics,Probability,Machine learning algorithms

PRERNA SACHDEVA

Data Science in Finance

Email id: ****************@*****.*** Phone no: +1-929-***-**** GITHUB Linkedin Computer science graduate with a Bachelor’s degree and current Master’s student in Data Science at Stony Brook University focusing on Finance. Experienced in fraud detection in transactions and credit risk analysis of loan portfolios. Skilled in probability, machine learning algorithms, and data science applications. EDUCATION

Stony Brook University - NY - Masters in Data Science 2024-2026 Guru Gobind Singh Indraprastha University, INDIA 2020-2024 Bachelor of Technology - Computer Science

CGPA 9.4

INTERNSHIP

● Walmart (remote). 9th Oct 2023 - 14th Oct 2023

Enhanced expertise in advanced software engineering Executed practical tasks in Advanced Data Structures, Software Architecture, Relational Database Design, and Data Munging, strengthening knowledge in data structures, databases, and data manipulation.

PROJECTS

● Fraud Detection Jan 2024

● Leveraged NumPy, Pandas, XGBoost, and Scikit-learn Python APIs to analyze over 1 million transaction records.

● Detected patterns of fraudulent behavior with a 95% accuracy rate using XGBoost.

● Implemented real-time alert systems, reducing false positives by 20% and improving overall detection efficiency.

● Credit Risk Analysis Nov 2023

● Utilized NumPy, Pandas, NLP, and Python APIs to analyze over 500,000 loan portfolio records, uncovering key factors influencing credit risk.

● Assessed credit risk for 500,000+ loan portfolios and developed predictive models with 90% accuracy to forecast default probabilities.

● Contributed to a 15% reduction in risk exposure through accurate predictions and data-driven insights.

● Harvestify Oct 2023

● Leveraged JavaScript, Node.js, React.js, Express.js, and MongoDB to process over 50,000 soil test results efficiently.

● Enabled seamless interaction for 500+ users through a user-friendly platform design.

● Developed a soil fertility testing platform that gained 500 active users within the first month of launch.

● Bridged market gaps by collaborating with 10+ local labs to deliver advanced agricultural services. RESEARCH PAPER

● IOT January 2024

● Read and referenced 20 to 30 research papers to develop accurate content for the research paper.

● Discussed the architecture of IoT and its applications, analyzing over 20 IoT use cases across various industries.

● Shed light on the challenges associated with IoT, such as privacy concerns and security vulnerabilities, referencing 15+ case studies and research papers.

● Wrote the research paper, adhering to the required format and pattern, and reviewed 30+ related publications to ensure comprehensive coverage.

● Presented and published the research paper in January 2024 at the Hinweis Second International Conference on Advanced Research in Engineering and Technology (ARET-2024).

● Soil analysis and Crop Prediction. April 2024

● Conducted an in-depth analysis of approximately 30 research papers to explore various aspects of agricultural practices.

● Investigated agricultural patterns, crop management strategies, and advanced technologies by analyzing over 500 datasets to improve farming methodologies.

● Applied machine learning algorithms, including Decision Tree, Random Forest, SVM, Naive Bayes, and Logistic Regression, to predict crop types with over 85% accuracy across 10,000+ data points.

● Demonstrated the use of linear regression models to predict and optimize agricultural outcomes. This approach analyzed historical data from 50+ farms and improved crop yield predictions by 20% TECHNICAL SKILLS

● Languages: Python,C++, Data Structures and Algorithms, JavaScript, HTML, ReactJS, Style: CSS

● Data Analysis Tools: GIT, MySQL, Excel,Tableau

● Statistical Methods: Probability, Regression Analysis,Statistics

● Machine Learning:Decision Tree, Random Forest, SVM, Naive Bayes, KMeans

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