Karisma AI - AI Career Navigator
Timeline: May 2026 – Jun 2026
Contributed as a Data Scientist in developing a data-driven decision support system by conducting end-to-end data science workflows. Responsible for problem discovery, data collection, preprocessing, exploratory data analysis (EDA), feature engineering, business insight generation, A/B testing, and interactive dashboard development using Streamlit. Also prepared technical documentation to communicate findings and support data-driven decision-making.
Challenges
- Identifying key business problems and transforming them into measurable analytical objectives.
- Processing raw data into a clean, structured dataset suitable for analysis and modeling.
- Presenting analytical insights in a way that supports effective decision-making.
Solutions
- Performed end-to-end data wrangling, including data collection, assessment, cleaning, feature engineering, and exploratory data analysis.
- Developed interactive dashboards with Streamlit to visualize insights and communicate findings effectively.
- Evaluated and compared machine learning model performance through A/B testing to identify the most effective approach for the given dataset.
Results
- Produced a well-prepared dataset and informative features for machine learning.
- Identified the best-performing model based on comparative evaluation and performance metrics.
- Delivered an interactive dashboard that enabled stakeholders to explore insights and analytical results efficiently.
