Available to hire
I’m a data analyst based in New Jersey with hands-on experience delivering actionable insights and KPI-driven reporting across enterprise environments. I specialize in Python (Pandas, NumPy, Scikit-Learn) and R for data wrangling, statistical modeling, A/B testing, and time-series forecasting, supporting decisions across product, finance, and operations. I also leverage SQL across PostgreSQL, MySQL, Teradata, and Oracle, with experience building and maintaining ETL pipelines and executive dashboards using Tableau, Power BI, and Looker.
Skills
Language
English
Advanced
Work Experience
Data Analyst at Airbnb
July 1, 2022 - May 31, 2023Analyzed over 120,000 booking and transaction records using SQL, Python (Pandas/NumPy), and R to uncover trends in cancellations, informing policy updates across five regional teams. Built interactive dashboards with Tableau and Power BI to monitor occupancy, revenue, and host performance for six internal business units. Optimized batch data workflows with Apache Airflow and BigQuery, reducing processing time by 2.4 hours per pipeline and enabling near real-time reporting. Extracted and validated large-scale user datasets from Snowflake and Redshift, supporting analytics on 3+ million user interactions monthly. Conducted A/B tests and behavioral cohort analyses with R and Looker, evaluating feature impact across 3,000+ user sessions and guiding roadmap priorities. Automated recurring weekly and monthly reports using Excel VBA, Python scripts, and parameterized SQL queries, saving 40+ hours of manual work per month. Presented findings to stakeholders, translating data into 5+ strategic
Data Analyst at Dell Technologies
May 1, 2021 - June 30, 2022Cleaned and normalized over 90,000 product lifecycle records using SAS and Teradata, improving forecast accuracy and enabling anomaly detection across four product categories. Engineered custom data validation workflows with Alteryx, reducing manual errors by 850+ entries weekly and increasing reliability of executive dashboards. Conducted exploratory data analysis (EDA) and time-series forecasting in MATLAB to guide inventory planning across six regions and identify seasonal demand patterns. Developed ETL pipelines using Talend and Oracle SQL Developer, consolidating customer support data from 15+ systems for unified reporting. Visualized service desk and escalation trends with QlikView, contributing to a 12-week SLA improvement plan with real-time KPI tracking. Automated Net Promoter Score (NPS) reporting with Google Apps Script and BigQuery, accelerating feedback cycles and reducing manual processing by 3 business days per iteration. Created documentation for business rules, data di
Education
Master of Science in Computer Science at Pace University
January 11, 2030 - December 24, 2025Master of Science in Computer Science at Pace University, Seidenberg School of Computer Science and Information Systems
August 1, 2023 - May 31, 2025Bachelor of Technology in Computer Science and Engineering at Amrita Sai Institute of Science and Technology
January 1, 2019 - January 1, 2023Qualifications
Industry Experience
Software & Internet, Computers & Electronics, Professional Services, Travel & Hospitality, Media & Entertainment
Skills
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