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Ritesh Aryan

@ritesharyan

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Data analyst skilled in Python, SQL, BI and predictive modeling driving actionable insights.

India

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What I'm looking for

I seek a data role where I can build scalable ETL pipelines and predictive models, work cross-functionally, and deliver BI insights in an ethical, automation-first environment.

I am a data analyst with hands-on experience building ETL pipelines, predictive models, and BI dashboards that accelerate decision-making and operational reliability. I have delivered analytics solutions across industry and social-impact projects, including developing Python-based pipelines that sped analysis 3x and maintaining models with 87% accuracy for failure detection.

I combine strong programming and visualization skills (Python, SQL, Power BI, Tableau) with stakeholder-facing experience producing BRDs and scalable solutions, such as a platform that improved data recording efficiency by 40% and follow-up effectiveness by over 50%. I value ethical, automated approaches and thrive on transforming complex data into clear, actionable insights.

Experience

Work history, roles, and key accomplishments

Data Analytics Participant

Tata Group

Sep 2025 - Sep 2025 (0 months)

Conducted EDA using GenAI tools to assess data quality and identify risk indicators for customer delinquency; proposed a no-code AI-driven modeling framework and designed an ethical, automated collections strategy.

GenAI Risk Modeling No Code Data Quality Automation Compliance

Tech4Good Analyst

Dhwani RIS

Jun 2025 - Aug 2025 (2 months)

Authored BRD and led development of the mYojana platform using Frappe, improving data recording efficiency by 40% and follow-up effectiveness by 50%+. Coordinated cross-functional stakeholders to deliver analytics-ready solutions and improve reporting accuracy.

Frappe Data Reporting Stakeholder Management SQL Python

Data Analyst Intern

Tata Steel

May 2023 - Jul 2023 (2 months)

Built a Python-based ETL pipeline to ingest, clean, and feature-engineer furnace sensor data, enabling 3x faster analysis and consistency. Maintained predictive models (Random Forest, Logistic Regression) achieving 87% accuracy for failure detection to improve maintenance planning.

Python Pandas SQL ETL Random Forest Logistic Regression Data Cleaning

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology, Mesra

Integrated Master of Science, Mathematics and Computing

2021 - 2026

Grade: 7.78 / 10

Activities and societies: President, Dance Club; NSS Volunteer

Integrated M.Sc. in Mathematics and Computing program with coursework and projects in data analytics, machine learning, and software development; achieved CGPA 7.78/10.