Ahmad A.
Data Scientist | ML & AI Engineer | AI Automation | Python | NLP
I am a Data Scientist and Machine Learning Expert with 7 years of experience. I am expert in: Python | Pandas | NumPy | Data Analysis | Scikit-Learn | n8n | AI Agent Development | Voice Agent | Generative AI | TensorFlow | Keras | Machine Learning | Deep Learning | Time Series analysis | NLP | EDA | AI Workflow and Automation 🎯Below are some the services I provide: - Data Cleaning/ Preprocessing - Data Standardization & Scaling - Data Exploration & Analysis - Data Visualization with Matplotlib, Seaborn, and Plotly - Resolving issues with Pandas/NumPy - Building ML Pipelines for Classification, Regression, and Clustering - Hyperparameter Tuning for optimized performance - Model Evaluation & Comparison - Time Series Analysis, - Computer Vision, - Natural Language Processing (NLP) - Flask Development for Web Development - AI Workflow and Automation - n8n 📂 Classification and Regression Models - Logistic Regression - Decision Tree Classifier/ Regressor - Random Forest Classifier/ Regressor - Gradient Boosting (e.g., XGBoost, LightGBM) - Support Vector Machines (SVM) Classifier / Regressor - k-Nearest Neighbors (k-NN) Classifier / Regressor - Neural Networks (MLPClassifier)/ Regressor - Naive Bayes Classifier - AdaBoost Classifier / Regressor - Extreme Gradient Boosting (XGBoost Classifier) / Regressor 🔄 Clustering Models - K-Means Clustering - Elbow Method for Optimal K - Hierarchical Clustering - K-Medoids (variation of K-Means) ⏳ Time Series Models - ARIMA (Auto-Regressive Integrated Moving Average) - SARIMA (Seasonal ARIMA) - SARIMAX (SARIMA with Exogenous Variables) - Prophet (by Facebook) - Recurrent Neural Networks (RNN) - Long Short-Term Memory Networks (LSTM) - AutoRegressive Models (AR) 🏆 Projects : - Alzheimer’s Disease Prediction : Built a CNN-based model to predict Alzheimer’s likelihood with high accuracy. - Cardiovascular Risk Prediction : Developed ML models using Logistic Regression, Random Forest, and SVM to assess patient risk. - Stock Price Prediction : Utilized RNNs for time-series analysis to predict stock market trends. 🎯 Why Work With Me? ✅ Proven track record with 6+ years of expertise 🏅 Gold Medalist in Computer Science 🤝 Dedicated to long-term collaborations 🤝 100% Customer Satisfaction Happy to work with you! Thanks and Regards! Ahmed!
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $10
$10 in the last 6 months
Earnings, last 30 days
Read once a week before Nov 3, 2026, daily since. Dotted: longer than usual between two readings. Hatched: over two weeks without one.
Skill rankings: Top 28% in Python Scikit-Learn
Ranked by MRR among everyone on Upwork with the skill.
- #8Cluster Analysis13 freelancers · 🇵🇰 #3Top 62%🇵🇰#3 of 4
- #32Supervised Learning75 freelancers · 🇵🇰 #5Top 43%🇵🇰#5 of 13
- #49Classification131 freelancers · 🇵🇰 #9Top 37%🇵🇰#9 of 19
- #51Model Optimization153 freelancers · 🇵🇰 #13Top 33%🇵🇰#13 of 39
- #56Model Deployment115 freelancers · 🇵🇰 #23Top 49%🇵🇰#23 of 41
- #58NLP Tokenization165 freelancers · 🇵🇰 #17Top 35%🇵🇰#17 of 42
- #63Linear Regression165 freelancers · 🇵🇰 #11Top 38%🇵🇰#11 of 25
- #74Streamlit152 freelancers · 🇵🇰 #16Top 49%🇵🇰#16 of 24