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Manahil Shahid

@manahilshahid1

Freelance Data Scientist and AI Engineer on Fiverr, building NLP pipelines that achieved over 0.90 AUC on internal validation.

Pakistan

Message

On Fiverr, I’ve delivered machine learning and NLP projects for clients, including a five-model stacking ensemble pipeline that achieved over 0.90 AUC on internal validation. I also implemented a pathology code mapping tool using fuzzy matching and Groq/LLaMA AI validation.

At Itsolera Pvt Ltd, I built forecasting models across business datasets and shipped interactive Streamlit applications for analytical findings and live predictions. I’m also developing FinStress, an open-source financial stress testing platform with a Monte Carlo simulation engine and an interactive React dashboard.

Experience

Work history, roles, and key accomplishments

Current

Freelance Data Scientist and AI Engineer

Current

Fiverr

Jan 2025 - Present (1 year 9 months)

Delivered over 10 end-to-end machine learning and NLP projects for international clients, earning Level 1 Seller status with consistent five-star ratings. Architected a 5-model stacking ensemble NLP pipeline and implemented a production-grade pathology code mapping tool.

Machine Learning NLP Data Pipelines Feature Engineering Model Evaluation Deployment DistilBERT RoBERTa TF IDF XGBoost SVM Logistic Regression Fuzzy Matching GROQ LLaMA SNOMED CT Excel

Data Science and AI Intern

Itsolera Pvt Ltd

Jan 2026 - Mar 2026 (2 months)

Executed regression and classification pipelines for medical cost prediction, loan default detection, and customer churn analysis. Applied K-Means clustering and time-series forecasting, integrated SHAP and LIME explainability, and shipped 3 Streamlit applications.

Linear Regression Logistic Regression Decision Trees Neural Networks Keras K Means ARIMA Prophet XGBoost SHAP LIME Streamlit MLOps RMSE AUC

Data Science Intern

Data Zenix Solutions

Sep 2025 - Sep 2025 (0 months)

Supported 3 client analytics engagements by performing data cleaning, transformation, and visual analysis. Produced pipeline documentation for 4 ETL workflows, reducing estimated onboarding time by approximately 30 percent.

Data Cleaning data transformation Image Analysis Decision Trees Logistic Regression Accuracy Precision Recall Confusion Matrix ETL Documentation

Data Science Intern

Code Sentinel

Jul 2025 - Aug 2025 (1 month)

Processed and analyzed 5 structured datasets over 6 weeks, executing EDA with pandas, matplotlib, and seaborn. Designed a Linear Regression housing price prediction model and analyzed tweet records for sentiment insights.

EDA Pandas Matplotlib SeaBorn Linear Regression TextBlob NLTK Sentiment Analysis