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

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