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Sudhanshu Yadav

@sudhanshuyadav2

Message

I build Python, SQL, and Power BI analytics pipelines that turn complex data into decisions.

India

Message

What I'm looking for

I'm looking to build end-to-end analytics and AI/ML solutions where I can use Python, SQL, and BI dashboards to deliver actionable recommendations, improve processes through automation, and collaborate with stakeholders across business domains.

I've delivered AI/ML analysis at Innodata Inc., building data pipelines, performing EDA, and developing predictive models that support business decisions. Previously, I analyzed integrity risks and betting irregularities at Integrity Mentors, producing risk reports and executive dashboards for governance and compliance.

I use Python, SQL, Power BI, Tableau, and scikit-learn to turn financial, sales, HR, operational, and customer data into clear recommendations. My work includes a telecom churn dashboard, a thyroid detection ML pipeline, and a phishing website classifier, alongside classification-model improvements of 15%+ through feature engineering.

Experience

Work history, roles, and key accomplishments

Analyst – AI/ML

Innodata Inc.

Apr 2026 - Jul 2026 (3 months)

Performed data analysis and EDA on structured datasets, developed ML models, and built AI/ML-focused data pipelines. Identified process improvements to increase analytical efficiency and automation.

Python Pandas NumPy scikit learn EDA Data Pipelines Machine Learning Process Improvement

Senior Sports Analyst

Integrity Mentors

Sep 2025 - Mar 2026 (6 months)

Performed multi-source data analysis to detect integrity risks and betting irregularities, applying statistical root-cause analysis. Produced risk assessment reports and executive dashboards for governance decisions.

Data Analysis Statistical Analysis Risk Assessment Dashboarding Stakeholder Management

Research Analyst

Insight Verity Research Pvt. Ltd.

Aug 2025 - Sep 2025 (1 month)

Conducted quantitative and qualitative analyses to surface performance trends and growth opportunities. Translated complex findings into visual storytelling to accelerate stakeholder decisions.

Quantitative Analysis Data Visualization Storytelling

Data Science Intern

InternsElite

Dec 2023 - Feb 2024 (2 months)

Built, tuned, and evaluated ML classification models, achieving 15%+ improvement in prediction accuracy via feature engineering. Designed EDA-driven visual analyses that uncovered process improvement opportunities.

Python scikit learn Logistic Regression Random Forest Feature Engineering EDA Matplotlib SeaBorn