Are you looking to build smart, data-driven solutions that adapt and improve over time? As a Machine Learning Engineer with deep expertise and a proven track record, I offer end-to-end ML services that turn raw data into real-world business value.
Whether you're a startup, enterprise, or researcher, I can design and deploy ML models tailored to your goals — from predicting trends and automating decisions to uncovering hidden insights in your data.
My Machine Learning Services Include:
Custom Model Development
Supervised Learning (Classification & Regression)
Unsupervised Learning (Clustering, Dimensionality Reduction)
Deep Learning (CNNs, RNNs, Transformers)
Recommendation Engines, Anomaly Detection, NLP, and more
Data Processing & Feature Engineering
Data cleaning, transformation, imputation
Feature extraction, encoding, scaling, selection
Handling imbalanced datasets, time series, text, and images
Model Evaluation & Tuning
Cross-validation, performance metrics, model interpretability
Hyperparameter tuning (Grid Search, Random Search, Bayesian Optimization)
Bias/variance analysis and improvement strategies
Tools & Technologies I Use:
Languages: Python, R
Frameworks: Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM
Data Tools: Pandas, NumPy, SQL, Spark
Deployment: Flask, Streamlit
Visualization: Matplotlib, Seaborn, Plotly, Power BI
Common Use Cases I Handle:
Predictive maintenance for IoT
Customer churn analysis
Price prediction and forecasting
Image classification for medical or security applications
Sentiment analysis & chatbots (NLP)