Summary
Overview
Work History
Education
Skills
Projects
Languages
Timeline
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Jasmine Kaur

Jasmine Kaur

Delhi

Summary

Results-driven Consultant & Data Scientist with expertise in Python-based machine learning, specializing in fraud detection, forensic analysis, and risk assessment. Proficient in developing Generative AI (GenAI) models, NLP, and Deep Learning solutions to enhance fraud prevention and predictive analytics. Skilled in big data processing, statistical methods, automation (RPA), and SQL to deliver actionable insights that improve compliance and financial decision-making. Known for a collaborative approach, innovative problem-solving, and a strong focus on accuracy and impact in driving business outcomes.

Overview

5
5
years of professional experience

Work History

Consultant

Nangia Andersen LLP
Noida
04.2024 - Current
  • Streamlined forensic analysis through the development of advanced machine learning models for fraud detection.
  • Implemented advanced predictive analytics on digital evidence to uncover hidden fraud patterns and emerging threats.
  • Created NLP-driven systems for the efficient extraction of key insights from various financial records.
  • Handled large datasets, applying feature engineering, data normalization, and dimensionality reduction for improved model performance.
  • Optimized fraud detection pipelines by integrating big data technologies, ensuring scalability, and faster, real-time analysis.
  • Designed RPA models for continuous control monitoring, enhancing compliance, and risk management.
  • Developed Power BI dashboards to visualize fraud trends, enabling proactive decision-making.
  • Led training sessions on forensic analytics, Python-based automation, and ML applications for fraud detection.
  • Translated complex, data-driven findings into clear, actionable insights for risk teams and senior management.

Data Analyst Intern

Deloitte
Gurgaon
01.2022 - 04.2022
  • Analysed complex transaction data to identify fraud risks, detect anomalies, and uncover emerging financial trends.
  • Applied advanced transfer pricing methodologies for accurate data extraction, mining, and validation.
  • Implemented rigorous data integrity checks, ensuring accuracy and compliance in transfer pricing strategies.

Business Analyst Intern

Supermac Industries (India) Limited
New Delhi
07.2020 - 09.2020
  • Optimized marketing strategies within budget, driving a 12-14% increase in engagement and sales in a foreign market.
  • Analyzed market trends and executed targeted social media campaigns.
  • Applied cluster analysis to enhance ad conversion rates.

Education

MSC. - Data Science and Statistics

UNIVERSITY OF BATH
01.2023

BSC. (HONS) - Statistics

UNIVERSITYOF DELHI
01.2020

Skills

  • Python
  • R
  • SQL
  • XGBoost
  • Pandas
  • Numpy
  • TensorFlow
  • PyTorch
  • Scikitlearn
  • NLTK
  • spaCy
  • OpenCV
  • Tesseract-OCR
  • Matplotlib
  • Statsmodel
  • Power BI
  • UIPath
  • Power Automate
  • Advanced Excel
  • MS Powerpoint

Projects

Developed a high-performing movie recommendation system using K-Nearest Neighbors (KNN) in Python, achieving 90% accuracy. Utilized collaborative filtering techniques to deliver highly personalized recommendations, optimizing user experience and satisfaction.

Languages

Hindi
First Language
English
Proficient (C2)
C2

Timeline

Consultant

Nangia Andersen LLP
04.2024 - Current

Data Analyst Intern

Deloitte
01.2022 - 04.2022

Business Analyst Intern

Supermac Industries (India) Limited
07.2020 - 09.2020

MSC. - Data Science and Statistics

UNIVERSITY OF BATH

BSC. (HONS) - Statistics

UNIVERSITYOF DELHI

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