Aditya Swami

Operations Associate

Pune, Maharashtra, India2 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Led innovative analytics initiatives in healthcare.
Achieved significant revenue uplift for clients.
Pioneered advanced forecasting models in transportation.

Stackforce AI infers this person is a Data Analytics professional with a focus on Healthcare and Hospitality industries.

Contact

aditya.swami@zs.com LinkedIn

Skills

Core Skills

Data AnalyticsMachine LearningData VisualizationBusiness AnalysisAutomation

Other Skills

Analytical SkillsAttention to DetailCommunicationETLEngineeringFlutterGANIdentifying IssuesKotlinLeadershipManagementMarketingMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPoint

About

Solving Healthcare equations using Data Analytics | Always Learning

Experience

2 yrs 4 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 10 mos

Current Experience

Zs

2 roles

Decision Analytics Associate

Promoted

Aug 2024 – Present · 1 yr 10 mos

Led the Next Best Action initiative for a Fortune 500 pharmaceutical client by building a BERT-based NLP model to personalize sales outreach, increasing engagement by 12% and deal closures by 8%.
Spearheaded the end‑to‑end development of interactive, real‑time dashboards in Tableau and Power BI, synthesizing data from France, Germany, and Spain/Portugal to deliver market‑specific intelligence—enabling executives to cut decision‑making time by 40%.
Led a cross‑functional analytics pod (4 members) to automate weekly performance reports, slashing manual reporting effort by 75% and uncovering $2 M in untapped revenue opportunities.

Analytical SkillsAttention to DetailData AnalyticsMachine Learning

Decision Analytics Associate

Feb 2024 – Jul 2024 · 5 mos

Delivered an end-to-end analytics solution for a leading US hotel chain by building ETL pipelines on Amazon S3, performing complex SQL transformations, and creating Tableau dashboards, driving an 18% revenue uplift through optimized pricing strategies.
Built demand-forecasting models using Random Forest and XGBoost, reducing forecast error by 15% and lowering staffing-related operational costs by 10%.
Mentored two junior analysts and established best practices for data cleaning, version control, and reproducible analytics workflows.

CommunicationBusiness AnalysisData Analytics

Centre for railway information systems (cris)

Data Analyst

Dec 2022 – Feb 2023 · 2 mos · Delhi, India

Pioneered a GAN‑based imputation framework to reconstruct missing ETA data across India’s rail network—boosting schedule accuracy by 18% and positively impacting the daily commute of 30 million passengers.
Engineered advanced spatio‑temporal forecasting models using Python and ML pipelines, achieving a 20% reduction in average delay prediction error and earning commendation from Central Railways leadership.

Business AnalysisData VisualizationData Analytics