You will get Credit Card Fraud Detection (Binary Classification)
Project details
you will get a End-to-End Model with Good Performance Results and Documentation. Model will Build with the active communication and Collaboration with Stakeholders.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$300
|
Standard
$500
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 10 days | 20 days | 30 days |
Number of Revisions | 1 | 1 | 1 |
Number of Model Variations | 3 | 4 | 5 |
Number of Graphs/Charts | 4 | 5 | 6 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
3 reviews
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SK
Sean K.
Jul 8, 2024
Highly professional and efficient, she exceeded all expectations, and I highly recommend them to the Upwork community!
PR
Padmaraj R.
Jun 7, 2025
LLM/Gen AI Architect to write an educational article for peers
SK
Sean K.
Jul 8, 2024
You will get Credit Card Fraud Detection (Binary Classification)
Highly professional and efficient, she exceeded all expectations, and I highly recommend them to the Upwork community!
AK
Arshdeep K.
Mar 14, 2024
Vertex AI Engineer
About Anjali
Data Scientist | NLP | Computer Vision | Agentic AI
100%
Job Success
London, United Kingdom - 10:16 pm local time
Well-versed in modern AI methodologies including Generative AI, Large Language Models (LLMs), and Responsible AI. Adept at working in fast-paced, cross-functional environments with a focus on delivering high-impact, production-ready solutions.
Core Competencies:
1. Programming Languages & Tools
Proficient in Python, R, SQL, and NoSQL (MongoDB), with strong command of Unix/Linux environments for scripting, automation, and system-level operations.
2. Machine Learning & Deep Learning
Hands-on experience with Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, LightGBM, and Transformer architectures for building and optimizing supervised, unsupervised, and deep learning models.
3. Natural Language Processing (NLP) & Large Language Models (LLMs)
Expertise in SpaCy, NLTK, HuggingFace, GPT, BERT, T5, and LangChain. Delivered projects involving:
Marketing
Finance:
* Credit transactions Fraud Detection
* Loan Default Prediction
* Credit Risk Scoring
* Anomaly Detection
* Insurance Claim Fraud Prediction
* Algorithmic Trading
* Stock Price Prediction
* Sentiment-Based Market Movement Prediction
* Portfolio Optimization using Reinforcement Learning
* Options Pricing using Deep Learning
* Volatility Forecasting
* Crypto Price Trend Prediction
* Customer Lifetime Value Prediction
* Financial Time Series Forecasting
* Revenue Forecasting
* Cash Flow Prediction
* Demand Forecasting for Financial Products
* Sales Forecasting for Insurance Products
* Automated Financial Report Analysis
* Contract Clause Extraction & Risk Scoring
* Invoice Matching & Payment Prediction
* Chatbots for Customer Support in Banking
* Earnings Call Transcript Sentiment Analysis
* Financial Document Classification
* Expense Policy Violation Detection
* Internal Audit Risk Scoring
* Tax Evasion Risk Estimation
* Text & Document Classification
* Summarization (Abstractive & Extractive)
* Sentiment & Aspect-Based Analysis
* Named Entity Recognition (NER)
* Language Detection & Translation
* Conversational AI (Chatbots, QnA, CLU, Knowledge Base QA)
* Speech Processing (ASR – Speech to Text, TTS – Text to Speech)
* Healthcare Text Analytics & Key Phrase Extraction
4. Computer Vision
Skilled in designing and deploying vision-based models using CNNs, YOLO, U-Net, and other architectures for:
* Image Classification, Segmentation, and Captioning
* Transfer Learning with ResNet, Inception, VGG, MobileNet
* Face Detection & Recognition for Security & Authentication
* License Plate Detection, Robotics, and Self-Driving Applications
* Image Processing & Multi-Modal AI Integration
5. Generative AI
Proficient in building applications using GPT-3/4, LLaMa, PaLM, and Retrieval-Augmented Generation (RAG). Skilled in prompt engineering, generative dialogue systems, and creative AI solutions including style transfer and content generation.
6. Statistical & Predictive Analytics
Advanced capabilities in predictive modeling, time series forecasting, A/B testing, principal component analysis (PCA), hypothesis testing, and other dimensionality reduction techniques.
7. MLOps & Model Deployment
Experienced with productionizing ML pipelines using Docker, Kubernetes, MLflow, CI/CD pipelines, Flask, FastAPI, and Streamlit. Strong in model lifecycle management and reproducibility.
8. Cloud Platforms
Proficient in deploying scalable ML/AI solutions across cloud platforms:
* AWS: SageMaker, Lambda, S3
* GCP: BigQuery, Vertex AI
* Azure: Machine Learning Studio
9. Data Visualization & Reporting
Effective in communicating insights using Seaborn, Matplotlib, Plotly, Tableau, Power BI, Excel, and Google Data Studio for both technical and non-technical stakeholders.
Certifications:
1. Machine Learning Specialization – Stanford University
2. Deep Learning Specialization – DeepLearning.AI
3. Natural Language Processing Specialization – DeepLearning.AI
4. MLOps: Machine Learning in Production – DeepLearning.AI
5. Generative Adversarial Networks Specialization – DeepLearning.AI
6. Generative AI Fundamentals – IBM
7. TensorFlow: Advanced Techniques Specialization
8. AI in Marketing and Finance
9. Organizational Leadership – Northwestern University
GitHub Portfolio
🔗 github.com/AnjaliDharmik
Steps for completing your project
After purchasing the project, send requirements so Anjali can start the project.
Delivery time starts when Anjali receives requirements from you.
Anjali works on your project following the steps below.
Revisions may occur after the delivery date.
Model Building
Performace Improvement