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Avishmaniar21/README.md

Avish Maniar

CS @ Gannon University '27 · Data & Backend Engineering

I build data and backend systems end to end, and I check the numbers before I report them.

Currently an undergraduate research assistant working on empirical software engineering, and the student developer behind Gannon STEM Center's internal tooling. Graduating May 2027 — open to full-time software engineering, data analyst, and AI/ML engineering roles starting mid-2027.


Selected work

Olist Delivery Performance Analysis · SQL Server 2022 · T-SQL · Power BI · DAX

Traced 87% of lost delivery days to the courier leg rather than sellers across 99,441 orders. Two bugs caught in T-SQL validation first — one had silently misclassified 1,292 orders. 1.55M rows through a staging → cleaning → star-schema pipeline that logs rejects instead of dropping them.

AdventureWorks Sales & Profitability Analytics · Power BI · DAX · Dimensional Modeling

Three linked dashboards over $29.4M of internet sales. Separating revenue from margin corrected a misleading read: bikes carry 96% of revenue at 40.6% margin, accessories return 62.6% on a smaller base.

NLP Sentiment Analysis & Opinion Mining · PyTorch · scikit-learn · Streamlit · FastAPI

Benchmarked 9 models over 19,562 Amazon reviews. Macro F1 exposed what accuracy was hiding on an 83% positive class — weak neutral-class recall the weighted metrics concealed.

Task Management API · NestJS · TypeScript · PostgreSQL · Redis

Domain-driven backend — 23K lines, 147 modules, four bounded domains, 54 endpoints. Task workflows modeled as an explicit state machine with an event-driven webhook layer.


Research

Undergraduate Research Assistant, Gannon University · Jan 2026 – Present Faculty-supervised research under Dr. Md Tajmilur Rahman — co-authoring "Understanding Characteristics of Browser Bugs: A Case Study on Mozilla Firefox."

Analysis of 247,959 Firefox Bugzilla reports: severity and priority behave as largely independent dimensions; component predicts priority but barely predicts severity; semantic text clusters predict both better than the official component taxonomy does.

The result I'm proudest of is one we didn't publish — an association that looked real at Cramér's V 0.285 collapsed to zero once corrected for sample sparsity, so we reported it as an artifact instead of a finding.


Tech

Python TypeScript SQL Server Postgres Power BI Pandas NumPy scikit-learn PyTorch Next.js React NestJS FastAPI Supabase Docker Google Cloud

Also: T-SQL · DAX · Power Query (M) · star schema & dimensional modeling · ETL · CTEs & window functions · Prisma · TypeORM · LangChain · RAG & vector search · GitHub Actions


Contact

LinkedIn Email

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  1. olist-delivery-analytics olist-delivery-analytics Public

    End-to-end delivery performance analysis of 99,441 Brazilian e-commerce orders: SQL Server pipeline, star schema, and two Power BI dashboards

    TSQL

  2. adventureworks-analytics adventureworks-analytics Public

    Three Power BI dashboards (sales performance + customer segmentation+product profitability ) built from a SQL Server data warehouse

  3. nlp-sentiment-analysis nlp-sentiment-analysis Public

    Benchmarks 9 sentiment models over 19,562 Amazon reviews — rule-based, classical ML, and a PyTorch CNN — with macro F1 and Cohen's kappa exposing class-imbalance effects that accuracy hides.

    Python

  4. task-management-api task-management-api Public

    A comprehensive, production-ready REST API for task management with NestJS, TypeScript, Auth0, and PostgreSQL

    TypeScript

  5. nexus-it-portal nexus-it-portal Public

    Nexus IT Portal - Full-stack tutoring management system built with Next.js, TypeScript, and Supabase

    TypeScript

  6. StemCenterGU/DashboardProject StemCenterGU/DashboardProject Public

    TypeScript