Business Analytics Graduate Student | Data Science & Analytics Enthusiast

LinkedIn URL

Technical Skills:- Python, SQL, R Script, Data Mining, Machine Learning, Statistics, Database Management Systems, Microsoft Office.

EDUCATION

• M.S., Business Analytics

  CSU Sacramento (May 2026)

• B.S., Management Information Systems

  SJSU (December 2022)

• Bachelors of Business Administration

  VIPS New Delhi (August 2018)

WORK EXPERIENCE

Program Analyst/Coordinator @ BACL Corp (Jan 2023 - Jan 2024)

• Conducted in-depth project data analysis to identify process inefficiencies, leading to a 15% improvement in time efficiency and supporting cross-departmental resource allocation and decision-making.
• Coordinated with regulatory bodies to ensure compliance with FCC, ISED, MIC, RED, and UKCA standards, leading to a 100% pass rate for all program audits.
• Created monthly operational reports for cross-functional teams using Excel, improving transparency and accountability across 3 departments.

Student Assistant @ Institute of Social Research (Mar 2025 - Jun 2025)

• Conducted data collection, processing, and analysis for the effect of the tobacco ban on the retail businesses
• Supervised a team of survey interviewers, ensuring adherence to data collection protocols and maintaining high-quality research standards.

INTERNSHIP EXPERIENCE

Project Assistant @ B.O.K Ranch (Jan 2022 - May 2022)

• Collaborated with multiple departments to align project timelines and logistics, improving team communication and reducing scheduling conflicts by 25%.
• Led the team into organized progression through the usage of Scrum methodologies.
• Created an Excel template for customers with data points on Google Drive, which can be accessed by everyone.

Projects

Database Property Management System (April 2025 - May 2025) URL Designed and implemented both an operational OLTP database and a star-schema analytical data warehouse for residential property management. Developed SQL-based ETL pipelines to incrementally load and transform leases, maintenance requests, inspections, staff assignments, and client data, with Type 2 slowly changing dimensions for full historical tracking. Built data-quality checks and pre-built analytical views (occupancy, maintenance turnaround, revenue trends), then created a BI report to visualize key operational and financial metrics.

CERTIFICATION

Data Analyst in Python @ DataCamp (Issued Oct 2024) URL

This Certification went from the basics to the advanced level of data analysis. I learned about various hypothesis testing and sampling methods. I also performed Exploratory Data Analysis using different Python tools: pandas, seaborn, matplotlib, numpy, and scipy.stats.