I’m Rohith 👋, a passionate and results-driven data scientist with a strong focus on machine learning 🤖 and advanced analytics 📊. I am currently working as a Senior Analyst at Nestlé USA, where I leverage data science to drive actionable insights and optimize business processes. My expertise includes sales and marketing analytics, supply chain optimization, consumer insights, and product performance analysis 🔍.

Previously, I worked as a Research Assistant 👨‍🔬 in Machine Learning at Montclair State University, developing sophisticated models for malware detection in npm packages. I also had the opportunity to work at BYJU'S, where I enhanced student engagement and performance through data-driven decision-making 📈. Additionally, I worked at Enercast GmbH, applying advanced machine learning techniques to enhance renewable energy forecasting ☀️.

I hold a Master’s degree in Data Science from Montclair State University 🎓, and my technical skill set includes Python 🐍, SQL, cloud technologies ☁️, and machine learning frameworks like Scikit-Learn, TensorFlow, and XGBoost. I am passionate about collaborating with cross-functional teams to tackle real-world challenges and drive impactful change 🌟.

Whether optimizing processes through innovative algorithms or developing intuitive dashboards, I am committed to using data to solve complex problems and create meaningful insights 💡. I look forward to exploring new opportunities to apply my expertise in machine learning and analytics.

Skills:

Machine Learning & AI: Experienced in Supervised Learning (e.g., Linear & Logistic Regression, Decision Trees, Random Forests, GBM, XGBoost, LightGBM, CatBoost, SVC/SVR, CNN, RNN, LSTM, Transformer Models) and Unsupervised Learning (e.g., K-Means, Hierarchical Clustering, DBSCAN, GMM, PCA, t-SNE, LDA, UMAP, Isolation Forests, Autoencoders). Skilled in Reinforcement Learning techniques like Q-Learning, DQN, PPO, TRPO, A3C, A2C, and MCTS. Expertise in feature engineering, hyperparameter tuning, model evaluation metrics, dimensionality reduction, NLP (e.g., NLTK, spaCy, GPT-3, BERT), large language models (LLMs), and full-cycle deployment with MLflow and cloud platforms.

Data Engineering & Analysis Skills: Proficient in building and optimizing data pipelines, ETL processes, data architecture, integration, cleansing, migration, quality assurance, and governance. Knowledgeable in data security (GDPR, HIPAA), ethics, cloud data warehousing (Snowflake, BigQuery), and business intelligence tools (Tableau, Power BI, Looker). Skilled in data storytelling, mining (RapidMiner, KNIME), and creating interactive dashboards.

Technical Skills & Collaboration: Fluent in Python, R, SQL, and frameworks like Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, and ONNX. Proficient in data analysis packages (Pandas, NumPy, SciPy) and cloud platforms (AWS, GCP, Azure). Experienced in databases (MySQL, PostgreSQL, MongoDB, SQL Server), web frameworks (FastAPI, Flask), version control (Git), and data annotation tools (Labelbox). Skilled in containerization (Docker, Kubernetes), A/B testing, collaborative tools (JupyterHub, Databricks), cross-functional team collaboration, stakeholder reporting, and delivering data-driven recommendations. Familiar with big data technologies (Hadoop, Spark, Kafka), API development, and continuously advancing analytical and problem-solving abilities.