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You will get ML Lead Scoring Model to Prioritize Your Pipeline
Rising Talent
Rising Talent
Project details
Your sales team is spending time on the wrong prospects. Without a data-driven scoring system, reps chase cold leads while high-value opportunities go unnoticed. I build ML-powered lead scoring models that rank your pipeline by conversion probability, so your team focuses where it actually matters.
I've built prospect scoring systems in financial services where imbalanced data and noisy signals are the norm. My models use advanced feature engineering, XGBoost classification, and Bayesian tuning to surface leads most likely to convert, backed by SHAP explainability so your team understands the why behind every score.
What makes this different is the business layer. You don't just get predictions, you get a ranked prospect list, a lift chart showing efficiency gains, and a summary your sales leadership can act on immediately.
I've built prospect scoring systems in financial services where imbalanced data and noisy signals are the norm. My models use advanced feature engineering, XGBoost classification, and Bayesian tuning to surface leads most likely to convert, backed by SHAP explainability so your team understands the why behind every score.
What makes this different is the business layer. You don't just get predictions, you get a ranked prospect list, a lift chart showing efficiency gains, and a summary your sales leadership can act on immediately.
Machine Learning Tools
Microsoft Power BI, MLflow, NumPy, pandas, Python, Python Scikit-Learn, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$600
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 4 days | 12 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $400
Additional Revision
+$100
Additional Model Variation
(+ 3 Days)
+$350
Additional Graph/Chart
(+ 1 Day)
+$150
Model Validation/Testing
(+ 2 Days)
+$200
Model Documentation
(+ 1 Day)
+$150
Source Code
+$100About Arsalan
Principal Data Scientist | Enterprise AI & Predictive Intelligence
Lahore, Pakistan - 12:22 am local time
• Built AI systems driving $35M+ in business impact.
• Expert in ML, deep learning, and predictive systems.
• Turn complex data into revenue-driving intelligence.
• Develop end-to-end enterprise AI solutions.
Best fit use-case:
• End-to-end predictive modeling (classification, regression, ranking)
• Customer analytics: churn, LTV, segmentation, opportunity scoring
• Risk modeling: financial, healthcare, and attrition
• Imbalanced data: a rare and critical skill most data scientists underestimate
• Feature engineering for structured/tabular data
• Model explainability (SHAP) and business rule extraction
Delivered metrics:
• $35M+ revenue impact through ML-driven prospect targeting (Regions Bank)
• 63% retention improvement via behavioral churn prediction
• 82% accuracy cardiovascular mortality model (NIH dataset)
• 84% accuracy hurricane loss prediction for insurance industry
Stack:
Python | SQL | PySpark | XGBoost | LightGBM | CatBoost | PyTorch | Optuna | SHAP | ScikitLearn | Pandas | NumPy | Regression | Classification | Inference
Let's talk about what your data can do.
Steps for completing your project
After purchasing the project, send requirements so Arsalan can start the project.
Delivery time starts when Arsalan receives requirements from you.
Arsalan works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Kickoff
I review your dataset, assess data quality, identify gaps, and align on the target variable, what a converted lead looks like in your business.
Feature Engineering
I build 200+ prospect features from your raw data — behavioral ratios, recency signals, firmographic attributes, and interaction terms that drive predictive power.