Prisha M

I’m a Data Science graduate with CGPA 9.3 and hands-on experience building machine learning models, bias detection pipelines, and BI dashboards across consulting, fashion, EdTech, and defence research. I’m comfortable working with messy, real-world data—especially when it demands careful feature engineering, class imbalance handling, and decision-ready reporting.

In my current role as a Data Analyst Intern at Correct Steps Consultancy, I’ve produced 5 BI reports by pulling together 200+ data sources and presenting findings and expansion recommendations to senior leadership. I also uncovered drivers behind geopolitical content, which accounted for 40% of media coverage for CIRSS India and directly shaped their editorial calendar.

I previously worked as a Data Analyst Intern at Excelerate, where I helped build data extraction, transformation, and reporting workflows from scratch in a time-zone-spanning 5-person team. I created Excel dashboards tracking 10+ KPIs with data validation and automated refresh, reducing manual reporting effort, while translating insights into plain business language for international stakeholders.

My projects reflect how I turn modelling into measurable impact: a matrimonial profile bias audit and recommender that improved community diversity in top-10 results from 2.38 to 2.64, and an AI resume matching system (68.67% accuracy) that addressed label bias using SBERT semantic re-ranking. I’m driven by building practical, trustworthy ML—using tools like Python, SQL, XGBoost, SBERT, and LLM APIs—so stakeholders can make better decisions with confidence.