About Me

As a data scientist with a strong scientific background, I am passionate about leveraging data to solve complex challenges and drive informed decision-making in a variety of settings. I find joy in working out complex problems to find its optimal solution. That's exactly why I went for my Master's in Data Analytics. My expertise spans the entire data lifecycle, from data acquisition and manipulation to advanced machine learning modeling and insightful visualization. I am proficient in a variety of programming languages and tools, including Python, SQL, and Tableau, and I am adept at applying an array of statistical methods to extract meaningful patterns from data.
In my previous roles, I have consistently demonstrated the ability to translate complex data into actionable insights, whether it was improving student outcomes through personalized curricula or optimizing processes in detail-oriented environments. I am a highly motivated and detail-oriented individual with excellent communication and storytelling skills, enabling me to effectively convey technical findings to diverse audiences. I get a thrill from continuously learning and staying at the forefront of the ever-evolving field of data science.
Machine Learning
TensorFlow & Keras | Random Forest |
Naive Bayes | Neural Networks |
Decision Trees | K-Means Clustering |
Hierarchical Clustering | Linear & Logistic Regression |
K-Nearest Neighbors | PCA |
Statistical Methods
Correlation Analysis | Time Series Analysis |
Bayesian Methods | Descriptive Modeling |
Predictive Modeling | Large Language Models |
Sentiment Anaylsis |
General Skills
Communication | Adaptability |
Detail-Oriented | Efficiency |
Self-Motivation | Continuous Learning |
Motivation | Storytelling |