AJ

Akshay Jain

Analytics Engineer

High-ownership executor who gets critical work over the line
Trusted stakeholder partner for business-facing analytics work
Translates technical complexity into clear business language
Detail-oriented analyst with strong depth of analysis
Fast turnaround without losing structure or accuracy
Strong time and priority management in Agile environments
Dependable teammate with strong work ethic and follow-through
High-ownership executor who gets critical work over the line
Trusted stakeholder partner for business-facing analytics work
Translates technical complexity into clear business language
Detail-oriented analyst with strong depth of analysis
Fast turnaround without losing structure or accuracy
Strong time and priority management in Agile environments
Dependable teammate with strong work ethic and follow-through
Analytics engineering, BI systems, and data products in one portfolio surface

I build reporting systems and data products that make complex decisions easier to act on.

My work spans enterprise analytics engineering, productized dashboards, ETL pipelines, and user-facing data applications. This portfolio brings together measurable business impact, newer GitHub builds, and an AI guide that speaks from the same structured source of truth.

Explore featured workLaunch AkshayGPT
Impact

1000+

Users on flagship dashboard

Built a flagship Power BI reporting experience that became one of the most active dashboards in the company.

Impact

2000+

Hours saved through automation

Reduced manual reporting at scale by replacing recurring Excel-heavy workflows with automated BI reporting.

Impact

15 sec

ASA improvement delivered

Reduced average speed of answer in call center operations through schedule and call-behavior analytics.

Why this format works

Recruiter clarity, hiring-manager depth, and AI-assisted exploration in one product

Instead of splitting the portfolio into disconnected experiences, the site now tells one clearer story with tailored entry points and shared data underneath.

Recruiter path

Clear signal on fit, impact, and availability

A streamlined view of role fit, work authorization, measurable outcomes, and current strengths.

Review experience

Hiring manager path

Technical depth across BI, ETL, and data products

See the projects, system choices, and delivery patterns behind the dashboards and applications.

See featured work

Interactive path

Explore the portfolio with AkshayGPT

Ask focused questions about projects, business impact, technical strengths, and working style.

Launch AkshayGPT

Career history

A blend of enterprise analytics delivery and independent product building

I work across BI systems, modeling, stakeholder communication, and newer application-layer data products.

Holman

Analytics Engineer

Mount Laurel, New Jersey • July 2023 - Present

Progressed from SAP BusinessObjects reporting into owning modern BI delivery across Power BI, SQL, Python, dbt, Databricks, semantic modeling, and stakeholder-led Agile execution.
  • Designed dbt models, macros, and Databricks SQL transformations to move curated data from silver to gold layers and support star-schema-based semantic models for enterprise Power BI reporting.
  • Built a KPI benchmarking solution using SQL, Python scoring logic, backend semantic models, and Power BI visual layers; normalized 20 client KPIs and enabled client-to-client, peer-group, and industry benchmarking for stronger client conversations and retention support.
  • Delivered Holman’s flagship Power BI dashboard, consolidating multiple consulting reports into a single semantic-model-driven reporting experience now used by 1000+ active distinct users across the company.
  • Consolidated 8 call-center data sources into one Power BI reporting model, eliminated recurring Excel-based workflows, and contributed to 2000+ hours saved through automated operational reporting.
  • Developed call-center analytics using SQL, Power BI, and Python-based PO complexity scoring to distinguish simple versus complex purchase-order calls, explain agent handling patterns, and reduce average speed of answer by 15 seconds.
  • Built executive-facing reports on auto-approval rejection patterns, edge cases, and client-administrator phone behavior using complex SQL shaping and Power BI dashboards, giving VP-level leaders clearer visibility into service and training opportunities.
  • Partnered daily with business stakeholders in Agile workflows to gather requirements, manage fast-turnaround ad hoc work, and translate technical analysis into clear business language; also presented dashboard work at IBIS 2024 (Phoenix) and internal team seminars.
Power BISQLPythondbtDatabricksMicrosoft FabricDAXSAP BusinessObjects

Collabera

Data Analyst Intern

Basking Ridge, New Jersey • May 2023 - July 2023

Focused on KPI reporting, performance tuning, and modeling improvements for business users.
  • Optimized SQL queries and Power BI models, reducing report rendering time by 30%.
  • Built a dimensional calendar and DAX-led reporting structure that improved reporting efficiency by 15%.
  • Delivered KPI dashboards that improved operational visibility for business stakeholders.
Power BIDAXSQL Server

LabWare

Data Science Intern

Wilmington, Delaware • June 2022 - September 2022

Worked across ETL, machine learning, and visualization to make technical analysis useful for non-technical teams.
  • Developed an end-to-end ETL pipeline using Python, AWS S3, and Snowflake for crime data analysis.
  • Engineered an XGBoost model that predicted crime types with 80% accuracy.
  • Translated machine learning outputs into Tableau dashboards for intuitive stakeholder use.
PythonTableauAWS S3SnowflakeXGBoost

Snapshot

  • Authorized to work in the U.S. with STEM OPT through May 2026.
  • Open to relocation and conversations around analytics engineering, BI, and data product roles.
  • Strongest in roles that need both technical execution and stakeholder-facing clarity.

Education

M.S. in Business Analytics

Drexel University

Philadelphia, Pennsylvania • August 2021 - March 2023

B.E. in Electronics and Telecommunication

Savitribai Phule Pune University

Pune, India • July 2016 - April 2020

Working style

Akshay balances technical rigor with practicality. That means listening carefully to business users, translating their needs into dashboards and models they can trust, and explaining the output in simple language. He values ownership, communication, reusable systems, and reporting that actually gets adopted by the people it was built for.

Featured work

Recent GitHub projects that show a broader analytics + data product range

The portfolio now leads with newer public repos that demonstrate geospatial tooling, production backend thinking, product UX, and model-backed analytics.

Independent product build • Immigration intelligence

H-1B Wage Map

Live • 2026

Built an interactive geospatial intelligence app that helps H-1B applicants evaluate county-level wage competitiveness under the FY 2027 weighted selection rule.

Shows end-to-end product thinking across data processing, geospatial UX, and real-world decision support for a high-stakes user need.

Problem

Applicants need a clearer way to evaluate how job titles, counties, and wage levels affect H-1B odds under the new selection process.

  • Combined DOL wage data with historical filing data into a geospatial decision tool.
  • Used static JSON sharding to support fast search across 200,000+ filing records without a traditional backend database.
  • Added county-level safety visualization, employer filing lookup, and AI-assisted SOC matching.
Next.jsTypeScriptTailwind CSSMapboxPythonPandas
GitHubLive demo

Real-world application backend • Developer intelligence

GitDecode Backend

Production support • 2026

Built a FastAPI backend that analyzes public GitHub activity, computes deterministic engineering signals, and returns recruiter-friendly candidate summaries for a Chrome extension workflow.

Shows real-world backend ownership across API design, GitHub data ingestion, feature engineering, scoring logic, and AI-assisted narrative generation.

Problem

Recruiters and hiring teams need a faster way to turn public GitHub activity into structured engineering signals instead of relying on manual repo scanning.

  • Queries GitHub GraphQL activity and converts it into normalized behavioral features.
  • Computes deterministic dimensions such as execution, collaboration, ownership, maintenance, and credibility before generating narrative summaries.
  • Supports a real Chrome extension experience with recruiter-facing outputs, evidence grouping, placement guidance, and health-check endpoints.
PythonFastAPIGitHub GraphQLFeature EngineeringOpenAIData Pipelines
GitHubChrome extension

Independent product build • Personal finance

Net Worth Tracker

Live • 2026

Built a private financial dashboard for wealth tracking, historical snapshots, portfolio analysis, and long-term financial goal monitoring.

Shows polished frontend execution, thoughtful data UX, and product sensibility beyond traditional analytics reporting.

Problem

Most budgeting tools are not designed for high-level wealth tracking, custom asset mixes, or clean historical snapshot analysis.

  • Designed a ledger-driven dashboard for assets, liabilities, goals, and historical net worth changes.
  • Used immutable snapshots to preserve point-in-time financial history.
  • Focused on privacy-first product design with Google OAuth and Firestore-backed persistence.
ReactTailwind CSSFirebaseFirestoreFramer MotionRecharts
GitHubLive demo

Independent product build • Market analytics

Stock Sentiment Dashboard

Live • 2025

Built a stock analysis dashboard that combines ETL, warehousing, predictive modeling, and AI-generated market commentary.

Demonstrates how I connect data ingestion, modeling, and narrative explanation into a single analyst workflow.

Problem

Stock price movement analysis is often split across disconnected tools for data collection, modeling, and interpretation.

  • Fetched market prices and news headlines into a structured pipeline.
  • Built a PostgreSQL star schema and Random Forest price direction model.
  • Added AI-generated narrative explanations alongside model outputs for easier interpretation.
PythonPostgreSQLPandasScikit-learnStreamlit
GitHubLive demo

Selected analysis work

Earlier projects that still show strong analytical depth

These remain useful evidence of NLP, customer analytics, and translating raw datasets into business signals.

Starbucks Drink Recommendation

Starbucks Drink Recommendation

2023

Analyzed social media data to uncover Starbucks brand perception and engagement patterns through topic modeling.

PythonNLPTopic ModelingRest APIData Scrapping
View repository
E-Commerce Customer Purchase Analysis

E-Commerce Customer Purchase Analysis

2023

Analyzed customer reviews and recommendation behavior to identify the themes and patterns behind product advocacy.

PythonPandasPower BINLTKScikit-learn
View repository

Skills & toolbox

Built around BI rigor, application-layer execution, and shipping useful systems

The strongest thread across my work is turning data into something decision-makers can actually use.

Analytics Engineering

Power BIdbtDAXSemantic modeling

Data Products

Next.jsReactTypeScriptTailwind CSSStreamlitMapbox

Data Stack

SQLT-SQLOracle SQLdbtDatabricksMicrosoft FabricPostgreSQL

Programming & ML

PythonPandasScikit-learnXGBoostNLP workflowsETL automation

Get in touch

Open to teams that care about durable analytics systems and thoughtful data products.

If you're hiring for analytics engineering, BI, or product-minded data work, I'd love to connect.

Email

akshayjain128@gmail.com

Calendly

Book a 30-minute intro

LinkedIn

linkedin.com/in/akshayjain128

Resume

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