I'm SHariq Mukadam, a Computer Science student with a deep passion for turning data into meaningful stories. My journey spans Data Science, Data Analytics, and Frontend Development — three fields I believe work best when they intersect.
I love working with data — whether it's building predictive models with Python and Scikit-Learn, crafting interactive dashboards in Power BI and Tableau, or creating clean, responsive web interfaces with React and Tailwind CSS. I believe that great insights and great user experience go hand in hand.
I approach every problem with curiosity and a structured mindset — breaking down complexity into clear, actionable solutions. I'm always learning, currently exploring deep learning and advanced analytics techniques to push the boundaries of what's possible.
I'm actively open to opportunities — internships, projects, or collaborations — where I can bring value and grow alongside a driven team. Let's build something great together.
Exploring insights through Data Science & Analytics
Built an end-to-end predictive model using regression and ensemble methods to forecast key business metrics with high accuracy.
Developed a churn prediction pipeline using XGBoost and SMOTE balancing, achieving 91% recall on a telecom dataset.
Implemented a transformer-based sentiment analysis model fine-tuned on product reviews with multi-class classification output.
Built an interactive multi-page Power BI dashboard consolidating 3 years of sales data, enabling real-time KPI monitoring.
Performed deep-dive analysis on 500K+ transactions to uncover seasonal trends and customer segments using Python and Tableau.
Created an HR analytics report in Power BI revealing attrition drivers and workforce trends across departments using statistical analysis.