Shashi Ranjan Email & Phone Number

👋 Hi, I’m Shashi Ranjan, a dynamic Data Scientist with proven expertise in machine learning, deep learning, and leveraging data to drive actionable business insights. With a solid foundation in analyzing complex datasets and developing advanced predictive models, I specialize in delivering data-driven solutions that fuel strategic decision-making and innovation. 📊 Core Expertise: I excel in data manipulation, statistical analysis, predictive modeling, and data visualization using industry-leading tools like Python, SQL, R, Power BI, Tableau, and frameworks like TensorFlow and Scikit-Learn. My approach combines technical skills with a deep understanding of business needs to turn raw data into actionable strategies.💡 What I Bring to the Table: - Master Data Quality: Conduct thorough data preprocessing, feature engineering, and exploratory data analysis (EDA) to ensure datasets are clean, structured, and model-ready. - Drive Predictive Insights: Develop robust machine learning models like linear regression, logistic regression, decision trees, random forests, KNN, SVM, and deep learning architectures like CNNs and ANNs to solve real-world challenges. - Optimize Performance: Perform hyperparameter tuning, cross-validation, and A/B testing to maximize model accuracy and relevance. - Communicate Effectively: Translate complex analyses into clear, actionable recommendations for both technical and non-technical stakeholders. - Lead Innovation: Continuously explore emerging technologies in AI, NLP, and deep learning to implement cutting-edge solutions. 🚀 Key Achievements and Projects: 1️⃣ Recommendation System - Built a personalized recommendation engine using cosine similarity and CountVectorizer, driving user engagement and increasing retention. 2️⃣ Customer Segmentation with K-Means Clustering -Segmented customers by purchasing behavior, boosting retention and increasing sales by 10%.🛠 Key Skills: - Programming: Python, SQL, R, TensorFlow, Scikit-Learn, NumPy, Pandas- Machine Learning: Regression, Classification, Clustering, Dimensionality Reduction, NLP- Deep Learning: CNNs, ANNs, RNNs, Transfer Learning- Data Visualization: Power BI, Tableau, Matplotlib, Seaborn- Statistical Methods: EDA, Hypothesis Testing, A/B Testing, Time Series Analysis- Tools & Platforms: Azure, Google Cloud, Jupyter Notebook, VS Code🌟 I’m passionate about using data to solve complex problems and drive meaningful business outcomes. Let’s connect to explore opportunities to collaborate on innovative, data-driven projects!

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  Bangalore Central University

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