Aryan Tiwari — AI Researcher

I am a results-driven Machine Learning Engineer with a strong foundation in mathematics, statistics, and software engineering. My passion lies in transforming raw data into actionable intelligence through the power of machine learning and deep learning. I specialize in building end-to-end ML solutions that are not only accurate, but interpretable, scalable, and production-ready. 🧠 Core Expertise: Natural Language Processing (NLP): Text classification, mental health analysis, sentiment detection using TF-IDF, word embeddings, and LSTM-based models Computer Vision: Medical image classification using CNNs, transfer learning, and model fine-tuning (ISIC dataset) Imbalanced Learning: Advanced handling of rare-event problems using SMOTE, precision-recall tradeoffs, and AUC optimization Model Interpretability: Confusion matrix analysis, SHAP/feature importance for trust in predictions Clean ML Pipelines: Structured, well-documented notebooks with full ML lifecycle (EDA → Modeling → Evaluation → Tuning) 💼 Projects That Solve Real Problems: 🔹 Mental Health Detection on Social Media Built a robust NLP pipeline using Logistic Regression, Naive Bayes, and LSTM to detect suicidal intent from Reddit posts — focused on high recall to prioritize human safety. 🔹 Credit Card Fraud Detection Tackled class imbalance using SMOTE and trained XGBoost models to identify fraudulent transactions with sharp precision and low false-positive rates. 🔹 Skin Disease Classification with CNN Developed a CNN-based image classifier on the ISIC dataset to automate skin lesion recognition — a step toward supporting clinical diagnostics. 🛠️ Technologies & Tools: Python, scikit-learn, TensorFlow/Keras, XGBoost, NLTK, spaCy, OpenCV, Pandas, NumPy, Matplotlib, Seaborn, imbalanced-learn, Git, Jupyter, Streamlit 📫 Let’s Connect: I'm open to collaborations, research initiatives, and full-time opportunities in applied AI/ML, NLP, and healthcare analytics. If you’re looking for someone who builds reliable, reproducible, and responsible AI solutions — let’s talk.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Healthcare and Data Science.

Location: Noida, Uttar Pradesh, India

Experience: 6 yrs 6 mos