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# Neha Malviya

**Headline:** 🏆 DataFest 2025 Champion · Data Analyst & AI Builder \| Python · SQL · Power BI · ML \| Rider University ’26 \| Open to Analyst & BI Roles in NJ/NY
**Profession:** Resident Assistant
**Location:** Lawrence, New Jersey, United States

## About

Neha Malviya is a data analyst and AI builder completing a Bachelor of Business Administration in Business Data Analytics at Rider University, with a 3\.8 GPA and expected graduation in 2026\. Based in Lawrence, New Jersey, Neha is open to hybrid and remote analyst and business\-intelligence opportunities in New Jersey and New York beginning in May 2026\. Neha specializes in turning complex, messy data into actionable analysis, executive\-ready dashboards, and working AI\-enabled applications\. Her strengths include Python, SQL, R, Tableau, Power BI, machine learning, natural\-language processing, data quality, and stakeholder\-focused data storytelling\. Neha won first place at Rider University’s DataFest 2025, where she built a recommendation model for commercial real\-estate leasing decisions in a 48\-hour challenge against graduate students\. Her projects include BroncBot, a Claude API\-based conversational assistant a GenAI KPI Meeting Assistant a breast\-cancer prediction web application with 98\.2% SVM accuracy an Olympics analysis application spanning more than 135,000 athlete records and an NLP pipeline processing more than 3,000 customer reviews per run\. Her experience also includes NSF\-funded climate research, financial\-process automation at CPA4TAX AND ACCOUNTING SERVICES, PC, analytics tutoring, student\-office administration, residential leadership, and student work with Compass Group\.

## Services

- Pandas \(Software\)
- Git
- Google Colab
- Amazon Web Services \(AWS\)
- Pivot Tables
- Scenario Analysis
- Freight Rate Modeling
- Process Automation
- Workflow Design
- Requirements Gathering
- Business Analysis
- Research Skills
- R \(Programming Language\)
- Time Series Analysis
- Data Cleaning
- Statistical Analysis
- spaCy
- k\-means clustering
- Natural Language Processing \(NLP\)
- Unsupervised Learning
- Exploratory Data Analysis
- Web Application Development
- Predictive Modeling
- Support Vector Machine \(SVM\)
- Flask
- Automation
- Generative AI
- Artificial Intelligence \(AI\)
- Conversational AI
- Large Language Models \(LLM\)

## Highlights

- Won first place at Rider University’s DataFest 2025 by building a recommendation model for commercial real\-estate leasing decisions during a 48\-hour challenge that included graduate\-student competitors\.
- Automated reconciliation workflows at CPA4TAX AND ACCOUNTING SERVICES, PC with Python and Excel, reducing manual financial\-review time by approximately 30% across client reporting cycles\.
- Built interactive accounting\-data dashboards for executive and nontechnical stakeholders during her Business Analyst Internship at CPA4TAX AND ACCOUNTING SERVICES, PC\.
- Analyzed more than 100 tree\-ring samples in an NSF\-funded Rider University project to reconstruct historical climate patterns\.
- Applied dendrochronology and time\-series statistical methods in R for longitudinal environmental\-data analysis\.
- Built BroncBot, a conversational AI assistant using the Claude API and Anthropic SDK, live on nehamalviya\.com\.
- Built a GenAI KPI Meeting Assistant that automatically generates executive reports and Plotly dashboards from meeting transcripts\.
- Developed a Flask breast\-cancer prediction web application using an SVM model with 98\.2% accuracy to support faster clinician triage\.
- Analyzed more than 135,000 athlete records for an ML Olympics project and deployed the analysis as an interactive web application\.
- Built an NLP sentiment pipeline that processes more than 3,000 customer reviews per run using spaCy, TextBlob, and K\-Means clustering\.
- Designed and delivered Rider University tutoring lessons for CIS 185 Excel and BDA 201 Business Data Analytics, including pivot tables, VLOOKUP, and introductory statistics\.
- Led and mentored a Rider University residential community of more than 40 students as a Resident Assistant\.
- Managed sensitive student records and administrative data as a Rider University Student Office Assistant, maintaining accuracy, confidentiality, scheduling efficiency, and reporting quality\.
- Maintained reproducible research data\-collection logs and used stereomicroscopes and scientific software in NSF\-funded climate research\.
- Identified process gaps, documented analytics\-based recommendations, and worked with financial data governance, quality, and compliance reporting in a regulated industry\.
- Created digital newsletters and coordinated facility\-issue resolution with operations management as a Resident Assistant\.
- Completed a BBA in Business Data Analytics pathway at Rider University with a reported 3\.8 GPA and expected 2026 graduation\.

## Experience

- **Business Analyst Intern at CPA4TAX AND ACCOUNTING SERVICES, PC** (2026\-03\-01–2026\-04\-01) — Automated reconciliation workflows in Python and Excel, cutting manual financial review time by ~30% across client reporting cycles\. • Built interactive data dashboards translating complex accounting datasets into executive\-ready visuals for non\-technical stakeholders\. • Identified and documented process gaps using analytics frameworks, delivering data\-driven recommendations to firm leadership\. • Gained hands\-on experience with financial data governance, data quality standards, and compliance reporting in a regulated industry\.
- **Resident Assistant at Rider University** (2026\-01\-01–2026\-05\-01) — Led and mentored a residential community of 40\+ students, acting as the primary point of contact for student concerns and well\-being\. • Created and distributed digital newsletters to improve community engagement and campus communications\. • Coordinated facility issue resolution with operations management, demonstrating project management and cross\-functional communication skills\. • Provided on\-call emergency coverage, developing conflict resolution, crisis response, and leadership capabilities\.
- **Research Assistant \(NSF\-Funded\) at Rider University** (2025\-10\-01–2026\-01\-01) — Analyzed 100\+ tree\-ring samples to reconstruct historical climate patterns as part of a National Science Foundation\-funded project\. • Applied dendrochronology and time\-series statistical methods using R, developing expertise in longitudinal environmental data analysis\. • Operated stereomicroscopes and scientific software tools • maintained accurate data collection logs for reproducible research outcomes\. • Collaborated cross\-functionally with a faculty\-led research team, presenting findings and contributing to project documentation\.
- **Data Analytics Tutor at Rider University** (2025\-10\-01–2026\-01\-01) — Tutored undergraduate students in Excel \(CIS 185\) and Business Data Analytics \(BDA 201\), improving comprehension of core analytics tools\. • Designed and delivered lesson plans breaking down pivot tables, VLOOKUP, and introductory statistical methods into accessible concepts\. • Fostered an active learning environment • multiple students reported improved course grades following sessions\.
- **Student Office Assistant at Rider University** (2025\-07\-01–2026\-05\-01) — Managed sensitive student records and administrative data, ensuring accuracy and confidentiality in compliance with university policies\. • Improved scheduling efficiency and reporting accuracy, streamlining office operations through organized data management practices\. • Supported departmental workflows, demonstrating strong attention to detail and organizational skills in a high\-volume administrative environment\.
- **Student Worker at Compass Group** (2024\-10\-01–2025\-08\-01)

## Education

- Bachelor of Business Administration \- BBA, Business Data Analytics — Rider University (2024\-08\-01–2026\-05\-01)
- Bachelor of Science \- BS, data science — Thakur College of Science & Commerce (2022\-07\-01–2024\-04\-01)
- 12, commerce — DURGADEVI SARAF INSTITUTE OF MANAGEMENT STUDIES, MUMBAI (2021\-06\-01–2022\-03\-01)

## FAQ

### What does Neha do?

Neha is a data analyst and AI builder who develops data analyses, dashboards, machine\-learning models, natural\-language\-processing workflows, web applications, and AI\-enabled tools\. She is finishing a BBA in Business Data Analytics at Rider University and is pursuing analyst and BI opportunities, with a long\-term goal of growing from analytics toward data science and engineering\.

### What are Neha's core analytics strengths?

Neha is strongest at identifying patterns, extracting meaningful insights, cleaning and preparing large datasets, and translating analysis into actionable, value\-adding solutions rather than visualizations alone\. She brings an iterative, persistent problem\-solving approach and aims to make visualizations both insightful and aesthetically effective\. She has cleaned and prepared datasets with more than one million rows\.

### What did Neha accomplish at DataFest 2025?

Neha won first prize at DataFest 2025 at Rider University\. During the 48\-hour challenge, in competition that included graduate students, she built a recommendation model to support commercial real\-estate leasing decisions\.

### What did Neha accomplish as a Business Analyst Intern at CPA4TAX AND ACCOUNTING SERVICES, PC?

At CPA4TAX AND ACCOUNTING SERVICES, PC, Neha automated reconciliation workflows with Python and Excel, reducing manual financial\-review time by approximately 30% across client reporting cycles\. She built interactive dashboards that made accounting datasets usable for nontechnical stakeholders, identified and documented process gaps, presented data\-driven recommendations to firm leadership, and gained experience with financial data governance, data quality standards, and compliance reporting in a regulated setting\.

### What did Neha do as an NSF\-funded Research Assistant at Rider University?

As an NSF\-funded Research Assistant at Rider University, Neha analyzed more than 100 tree\-ring samples to reconstruct historical climate patterns\. She applied dendrochronology and time\-series statistical methods in R, used stereomicroscopes and scientific software, maintained reproducible data\-collection logs, and collaborated with a faculty\-led research team on findings and project documentation\.

### What did Neha do as a Data Analytics Tutor at Rider University?

As a Data Analytics Tutor at Rider University, Neha tutored undergraduate students in Excel for CIS 185 and Business Data Analytics for BDA 201\. She designed lessons that made pivot tables, VLOOKUP, and introductory statistical methods accessible, fostered active learning, and received reports from multiple students that their course grades improved after tutoring sessions\.

### What did Neha do as a Student Office Assistant at Rider University?

As a Student Office Assistant at Rider University, Neha managed sensitive student records and administrative data while following university confidentiality and accuracy policies\. She supported high\-volume departmental workflows and improved scheduling efficiency and reporting accuracy through organized data\-management practices\.

### What did Neha do as a Resident Assistant at Rider University?

As a Resident Assistant at Rider University, Neha led and mentored a residential community of more than 40 students, served as a primary contact for student concerns and well\-being, and provided on\-call emergency coverage\. She created digital newsletters to support community engagement, coordinated facility\-issue resolution with operations management, and developed leadership, crisis\-response, conflict\-resolution, project\-management, and cross\-functional communication skills\.

### Where else has Neha worked?

Neha has also worked as a Student Worker at Compass Group\.

### What projects has Neha built?

Neha built BroncBot, a conversational AI assistant using the Claude API and Anthropic SDK that is live on nehamalviya\.com\. She also built a GenAI KPI Meeting Assistant that generates executive reports and Plotly dashboards from meeting transcripts a Flask breast\-cancer prediction web application using an SVM model with 98\.2% accuracy to support clinician triage an interactive ML Olympics analysis web application covering more than 135,000 athlete records and an NLP sentiment pipeline that processes more than 3,000 customer reviews per run with spaCy, TextBlob, and K\-Means clustering\.

### What tools and technical areas does Neha use?

Neha uses Python, SQL, R, PL/SQL, Pandas, scikit\-learn, Flask, Streamlit, Plotly, Seaborn, spaCy, Tableau, Power BI, Excel, Git, Google Colab, AWS, Microsoft Azure, Claude API, Anthropic SDK, SAP Data Services, RapidMiner, and Databricks AI/BI tools\. Her capabilities include API integration, generative AI, conversational AI, LLMs, machine learning, SVMs, NLP, K\-Means clustering, unsupervised learning, predictive modeling, ETL, database systems, database management, data modeling, data mapping, data manipulation, data cleaning, data governance, data quality, data intelligence, business intelligence, dashboards, self\-service analytics, DAX, data visualization, interactive visualization, statistical visualization, geospatial mapping, heat maps, tree maps, image analysis, time\-series statistics, exploratory analysis, scenario analysis, freight\-rate modeling, supply\-chain analytics and management, workflow design, process automation, email automation, requirements gathering, business analysis, financial\-data analysis, business reporting, data storytelling, stakeholder management, stakeholder communications, and data presentation\.

### What is Neha's education?

Neha is completing a Bachelor of Business Administration in Business Data Analytics at Rider University, expected in 2026, and reports a 3\.8 GPA\. She previously earned a Bachelor of Science in Data Science from Thakur College of Science & Commerce in 2024 and completed 12th\-grade commerce studies at Durgadevi Saraf Institute of Management Studies, Mumbai, in 2022\.

### What certifications and professional courses has Neha completed?

Neha holds or has completed the Tableau Business Intelligence Analyst Specialization, Data Ecosystem, Advanced Data Visualization with Tableau, Business Analysis Process, Data Visualization with Tableau, Introduction to Business Analytics, Introduction to Tableau, and Preparing Data for Analysis with Microsoft Excel\. Her additional credentials include the Tata Group GenAI Powered Data Analytics Job Simulation through Forage, IBM Introduction to Data Analytics, Data Analysis with SQL: Inform a Business Decision, Databricks Fundamentals Academy Accreditation, SAP Introducing SAP Business Data Cloud course completion, and the Databricks Knowledge Badge: AI/BI for Data Analysts\.

### What roles and locations is Neha seeking?

Neha is based in Lawrence, New Jersey, and is open to hybrid and remote data, business\-intelligence, and AI\-related roles in New Jersey and New York\. She is available beginning in May 2026\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/nehamalviya0204

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