Systems Analyst Business Intelligence
Resume:
Jeremy Simhon
******.******@*****.***
EDUCATION Rutgers University The Honors College of Rutgers Cumulative GPA: 3.6 / 4.0 New Brunswick, NJ Bachelor’s in Business Analytics and Information Technology (BAIT) @ Rutgers Business School Sep 2021 – May 2025
• Honors: Dean’s List (Spring 2022, Fall 2022, Fall 2023, Spring 2024, Fall 2024), student at Rutgers Honors College
• Relevant Coursework: Business Programming, Statistical Methods for Business, Operations Management, Business Decision Analytics under Uncertainty, Management Information Systems, Time-Series Modeling, Relational Database & Web Applications, Business Data Management, Data Mining, A.I in Marketing, Computer Applications for Business PROFESSIONAL EXPERIENCE
Rutgers School of Graduate Studies Extern MBS Externship Exchange Program May 2024 – August 2024
• Analyzed purchasing patterns across 8 Phillies ballpark retail locations, processing 100,000+ transactions using Python.
• Evaluated buyer-to-attendance ratios and City Connect performance across 7 weekdays and game days to identify trends.
• Presented findings to stakeholders, leading to a 27% sales increase and earning Best Lightning Talk Presentation award. Upright Education Student Data Analyst June 2024 Cohort Data Analytics Certificate June 2024 – October 2024
• Processed 1M+ records using Python, SQL, and Excel, applying clustering and time-series forecasting for segmentation.
• Designed/implemented dynamic Tableau dashboards, streamlining insights & boosting marketing efficiency by 68%
• Presented and translated complex findings to stakeholders, driving a 43% surge in engagement and optimizing strategies. QuickChek Cashier June 2022 – October 2024
• Handled 100+ daily transactions, managing cash, signatures and customer inquiries in a fast-paced retail environment.
• Oversaw tobacco/lottery sales, ensuring compliance and accuracy, contributing to an 18% reduction in transaction errors.
• Trained 10+ new hires across multiple locations, improving team efficiency and maintaining operational standards. PROJECTS
Predictive Analytics & Clustering for Student Performance Insights Rutgers Business School January 2025 – May 2025
• Engineered predictive models with 2 classification algorithms, boosting accuracy by 18% on student performance data.
• Developed clustering analysis, uncovering 67% overlap between predicted clusters and actual class labels for evaluation.
• Presented insights in a 20-minute final presentation, refining classification models and integrating clustering results. Data Integration & Analysis for Business Intelligence Rutgers Business School January 2025 – May 2025
• Processed/integrated 100+ GB of raw data into MySQL from 12+ sources, ensuring 99%+ data accuracy for analysis.
• Refined SQL data manipulation and database management, optimizing query efficiency by 41% for faster insights.
• Conducted in-depth analysis on 13+ million records using SQL, extracting trends and supporting data-driven decisions. AI-Driven Marketing Strategy & Consumer Insights Rutgers Business School January 2025 – May 2025
• Developed an AI-powered marketing strategy integrating predictive analytics, increasing consumer engagement by 6%.
• Designed AI-driven paid media/CRM strategies, optimizing ad targeting and customer retention for 9% efficiency gains.
• Presented a 30-minute marketing plan to stakeholders, showcasing AI-driven brand positioning and campaign execution. Personal Website & Personal Expense Tracker Rutgers Business School September 2024 – December 2024
• Built responsive website with HTML, CSS & JavaScript, improving navigation by 28% and securing data with Node.js.
• Developed a financial tracking platform with a dashboard for real-time income, expense, and balance visualization.
• Enhanced/optimized UI for cross-device use, boosting engagement, streamlining finances, and strengthening security. Graduate Study (Information Technology) Rutgers Honors College Capstone Project September 2024 – May 2025
• Designed/implemented reinforcement learning models, enhancing decision-making efficiency by 36% under uncertainty.
• Refined and optimized sequential decision strategies, boosting model accuracy by 14.8% in real-world applications.
• Applied and leveraged data mining techniques on 24+ million records, improving decision-making efficiency by 7.5%. TECHNICAL SKILLS, CERTIFICATIONS & INTERESTS
Tech: Excel, Tableau, Power BI, Python, SQL, R, HTML, CSS, JavaScript, Data Warehousing & ETL, AI, ML Analytical: Predictive Analytics & Modeling, Exploratory Data Analysis, Data Storytelling & Decision Making, BI Soft: adaptability, collaboration, innovation, proactive, critical-thinking, decisiveness, detail-oriented, thorough, diligent Certifications: Certificate of Data Analytics via Upright Education & LinkedIn Learning Certificates in Machine Learning, Data Science, Predictive Analytics, SQL, Python, Tableau, AI in Marketing, Decision Trees, and Web Development. Clubs: Astronomical Society, Programming Association, RAMS, Data Science Club, Actuarial Club, BITS, Thrift Volunteer Interests: swimming, weightlifting, basketball, volleyball, cars, philosophy, astronomy, Nintendo, chess, fashion, surfing, AI
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