Open to opportunities

Karan Saxena

@karansaxena

Message

I build analytics and ML solutions using SQL, Power BI, and Python.

India

Message

What I'm looking for

I seek a collaborative analytics role where I can apply SQL, Power BI, and ML to improve data quality, build dashboards, and deliver actionable insights while growing technical skills and domain expertise.

I am an aspiring Business Intelligence and Data Science professional with over 1.5 years of hands-on experience, currently working as a Data Analyst at Morningstar where I focus on analysis, reporting, and dashboard creation using SQL, Power BI, and Python.

I have driven measurable improvements—raising data accuracy by 70% and reducing inconsistencies by 86% across PitchBook datasets—and I built and deployed a GPT-4o-mini-based Gender-Neutral Text Analyzer for Morningstar's internal chat tool, earning a SPOT award for precision and collaboration. I have also delivered end-to-end projects including a Snowflake data warehouse, loan fraud dashboards, and a fraud-prediction app using Logistic Regression and Random Forest.

I am detail-oriented, collaborative, and passionate about turning messy data into actionable insights; I hold certifications in SQL and Generative AI, and I am pursuing an MCA to deepen my technical expertise and impact on analytics teams.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Morningstar

Jan 2024 - Present (1 year 7 months)

Analyzed private market fund performance metrics and developed workflows to extract and structure fund data, improving data accuracy by 70% and reducing inconsistencies by 86% for PitchBook integrations. Built and deployed a GPT-4o-mini-based gender-neutral text analyzer to detect and correct biased job descriptions and supported client-driven ad-hoc projects, earning a SPOT award.

SQL Python Power BI ETL Data Quality Machine Learning APIs Git

Associate Analyst

Globallogic

Jul 2023 - Nov 2023 (4 months)

Conducted secondary research to validate data authenticity and recommended process and tooling enhancements to improve data reliability for client datasets. Collaborated with teams to document findings and propose operational improvements.

Data Validation SQL Excel Data Quality Stakeholder Management Documentation