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ARYAN SAINIAS
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ARYAN SAINI

@aryansaini

Data science professional building evidence-driven ML pipelines with cost-aware modeling and rigorous data validation.

India
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What I'm looking for

I’m looking for a role where I can build evidence-driven ML/data pipelines, apply cost-sensitive modeling, and validate data quality rigorously—partnering cross-functionally to turn insights into reliable decisions.

I’m a data science student with hands-on experience building end-to-end ML pipelines across telecom, retail, and supply chain domains. I work with an observe-first, hypothesis-driven mindset—validating every data decision with evidence before acting.

In my data science work, I go beyond model building to model reasoning: I tune ML thresholds using cost matrices, use SHAP TreeExplainer for per-prediction explainability, and apply SMOTE + permutation importance for justified feature decisions. I also actively catch data-quality issues others miss, like target-biased missingness, impossible records, and unjustified feature drops via AUC delta testing.

I’ve complemented my modeling with practical deployment and collaboration experience, including an AI/ML and DevOps-focused trainee internship using AWS (EC2, IAM, AWS CLI, boto3) and a project-lead role that included publishing a research paper and supporting a live web platform. I’m now looking to bring this evidence-first approach to real-world decision-making problems.

Experience

Work history, roles, and key accomplishments

NT

Data Science Intern

Netparam Technologies

Feb 2026 - May 2026 (3 months)

Executed 3 data science projects across telecom, retail, and supply chain using an observe-first, hypothesis-driven workflow that validated decisions with data evidence. Applied business cost-sensitive modeling with cost matrices, used SMOTE and permutation importance, leveraged SHAP TreeExplainer for explainability, and prevented leakage by addressing target-biased missingness and validating feat

LI

Founder - Legalize India

Legalize India

Aug 2025 - Present (10 months)

Founded a legal-tech startup during a 72-hour intensive sprint focused on accessible legal information for Indian citizens. Secured an official startup certificate and led rapid ideation, MVP scoping, and team execution through JAZBAA 4.0.

Education

Degrees, certifications, and relevant coursework

Vivekananda Global University logoVU

Vivekananda Global University

Bachelor of Computer Applications, AI & Data Science

2023 - 2026

Grade: CGPA: 8.33

Bachelor of Computer Applications (AI & Data Science) at Vivekananda Global University, Jaipur (2023–2026). Achieved CGPA 8.33.

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