Anas J.

🔍,SEO-based research | 📊 Data Science | 🤖 Generative AI | 🧠 Machine Learning | 🐍 Python | 📈 R Programming | 📊 Analytics | 🧬 Bioinformatics I am a Data Scientist and AI Engineer with expertise in Machine Learning, Generative AI, data analytics, natural language processing (NLP), and bioinformatics. I help businesses, researchers, and startups transform data into actionable insights through predictive modelling, statistical analysis, AI-powered solutions, and custom Python and R applications. With over **75 successfully completed freelance projects* and experience training 32+ students in Data Science and Bioinformatics, I bring both technical expertise and strong communication skills to every engagement. My focus is on delivering accurate, reproducible, and business-oriented solutions that create measurable value. 🎯 Core Expertise 🔹 Data Science & Analytics • Data Cleaning & Preprocessing • Exploratory Data Analysis (EDA) • Feature Engineering • Statistical Modeling • Predictive Analytics • Data Mining • Network Analysis 🔹 Machine Learning & AI • Supervised & Unsupervised Learning • Classification & Regression • Support Vector Machines (SVM) • Principal Component Analysis (PCA) • K-Means Clustering • Deep Learning • Generative AI • Natural Language Processing (NLP) 🔹 Featured Projects • Stock Price Prediction using LSTM Networks • Breast Cancer Classification using PCA + SVM • Image Segmentation using K-Means Clustering • Machine Learning Model Development and Evaluation • Face Detection using Haar Cascade Features and OpenCV • Research Analytics and Data Visualization 🔹 Programming & Analytics • Python • R Programming • SQL • C++ • C# • MATLAB •Java 🔹 Data Science & Machine Learning Libraries • Scikit-Learn • TensorFlow • Keras • NumPy • Pandas • Matplotlib • Seaborn • Plotly • ggplot2 • dplyr • tidyr • DESeq2 🔹 Bioinformatics & Computational Biology • NGS & RNA-Seq Analysis in Python and R • Biopython • Cytoscape, STRING, DAVID, GSEA • AlphaFold, PyMOL, ChimeraX • Galaxy Server and Linux-based Pipelines • Molecular Docking (AutoDock and ML-Based) • Molecular Dynamic Simulation in GPU (GROMACS, AMBER, NAMD) Why Work With Me? ✅ 75+ Successfully Completed Projects ✅ 32+ Students Trained Worldwide ✅ Strong Research and Analytical Background ✅ Clear Communication and Documentation ✅ On-Time Delivery and Reliable Support Let's discuss how I can help with your data science, AI, machine learning, analytics, or bioinformatics project.