Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in Business Intelligence & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled and results-oriented Data Analyst with 2.75 years of experience specializing in business intelligence, data warehousing, and advanced analytics. Proficient in transforming complex data into actionable insights, designing robust ETL pipelines, and developing interactive dashboards using tools like Power BI and Tableau. Proven ability to improve data quality, reduce reporting times, and enhance data-driven decision-making across multi-state operations and marketing campaigns. Adept at leveraging SQL, Python, and cloud platforms (AWS, Snowflake) to drive impactful business outcomes.
Syracuse University
Master's · Information Systems
August 1, 2024 – June 30, 2025
Mit World Peace University
Master's · Computer Application
August 1, 2020 – June 30, 2022
iConsult
Data Analyst
January 1, 2025 – April 1, 2026
Syracuse, New York, United States
The DataTech Labs
Digital Marketing Analyst
May 1, 2022 – September 1, 2023
Pune, Maharashtra, India
ICU Analytics & Data Warehousing – Snowflake + Power BI
July 1, 2025 – Present
• Modeled 1M+ ICU patient records into a star schema with fact/dim tables for admissions, medications, and resources. • Implemented Snowflake ELT logic (window functions, CTEs, joins) to generate analytical fields such as LOS, readmission flags, and patient cohorts. • Standardized timestamps and unified drug coding, improving data quality by 22%. • Built 4 drill-down dashboards in Power BI tracking LOS, readmissions, and drug utilization, enabling hospital leadership to optimize ICU capacity.
Public Health Data Analytics - Tableau + CDC BRFSS
April 1, 2025 – Present
• Processed 13 years (5M+ rows) of survey data using SQL and Python (Pandas), performing Z-score normalization to standardize health metrics. • Built interactive Tableau dashboards with filters by race, age, and geography, exposing disparities (e.g., 15% higher obesity in low-income groups). • Benchmarked state health outcomes against national averages, generating insights for policy-driven health interventions.
ML Deployment Pipeline – Iris Classification (AWS)
April 1, 2024 – Present
• Deployed XGBoost classifier with 96% accuracy & 94% recall using AWS S3, SageMaker, Lambda, and API Gateway. • Designed serverless architecture with <200ms inference latency, enabling real-time predictions at scale. • Conducted hyperparameter tuning (GridSearchCV) & k-fold cross-validation, ensuring model robustness. • Logged feature importance metrics, improving interpretability and explainability for stakeholders.
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare analytics to digital marketing and ML deployment, indicates adaptability and a broad interest in applying data skills across different domains. Their academic background with two Master's degrees and a mix of academic and professional projects suggests a continuous learning mindset. The roles held align well with a Data Analyst position, showing a clear career trajectory in data.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their ability to translate technical findings into executive summaries and partner with leadership to define requirements. Their project descriptions highlight cross-functional collaboration and stakeholder management, indicating a good operational fit for roles requiring interaction with diverse teams. The experience in reducing reporting turnaround time and billing errors suggests a results-oriented approach.