Raman Vakil's Linkedin Analytics

Holding a Master’s degree in Analytics from McGill University, I am passionate about leveraging data to inform business decisions and help achieve business objectives. My analytics journey has covered a wide range of tasks, from building data pipelines to automate data collection and preprocessing, to leveraging data from various sources to create data models, to developing machine learning models for credit risk management, to designing data visualizations and dashboards. This experience has not only enabled me to transform data into actionable insights but also inform decision-making by communicating complex analytics findings and data-driven insights and recommendations to stakeholders in a concise, easy-to-understand manner. Data Management: SQL | MySQL | NoSQL | Relational Databases | Graph Databases | Extract, Transform, Load (ETL) | Data Modeling | Data Pipelines Data Analytics: Python | R | Numpy | Pandas | Scikit Learn | Matplotlib | Seaborn | Plotly | Jupyter Notebook | Data Manipulation | Data Cleansing | Data Preprocessing | Data Analysis | Data Mining | Pattern Recognition | Anomaly Detection | Data Visualization | Data Science | Predictive Modeling | Machine Learning (ML) | Deep Learning (DL) | PyTorch | Natural Language Processing (NLP) | Computer Vision Business Intelligence (BI): Dashboard Reporting | Microsoft Power BI (PowerBI) | Tableau Machine Learning: Linear Regression | Logistic Regression | Classification | Naive Bayes | Support Vector Machines (SVM) | Clustering | K-Nearest Neighbors (KNN) | K-Means | Hierarchical | DBScan | Decision Trees | Ensemble Models | Gradient Boosting Algorithms | XGBoost | LightGBM | Bagging Algorithms | Random Forest | Deep Learning | Neural Networks | Dimensionality Reduction (PCA) | Supervised Learning | Unsupervised Learning Statistics: Probability Distributions | Hypothesis Testing | P-values | Student's T-Test | Z-Test | Confidence Intervals | ANOVA | Chi-Square Test | Statistical Modeling | Experimentation | A/B Testing | Causal Inference | Bayesian Statistics Additional: API | Cloud | Microsoft Azure | Data Warehousing | Databricks | DBT | Big Data | PySpark | Web Scraping | MS Office | Microsoft Excel | Pivot Table | VLOOKUP (V LOOKUP) | XLOOKUP (X LOOKUP) | PowerPoint (PPT) | Word Soft Skills: Cross-Functional Collaboration | Teamwork | Leadership | Clear Communication | Problem-Solving | Critical Thinking | Time Management | Prioritization | Project Management | Data-Driven Decision-Making | Agile Methodologies