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Portfolio · 2026Business × systems

Bala
Prakash

Data & Analytics

Specialist

6+ yearsacross retail
+ e-commerce

BI · Data Science · AI-Driven Insights

Currently leading business intelligence, global operations, and customer experience analytics for a fast-growing retail startup.

Balaprakash Ananthakumar
Introduction

The work matters
when the business moves.

I'm Balaprakash Ananthakumar, a Data & Analytics Specialist at Wild Fork, part of JBS, working across business intelligence, global operations, and customer experience.

I connect commercial performance, customer behavior, operations, supply chain, and leadership priorities so teams can see what is happening, why it matters, and what to do next.

With a Master's in Data Science, I move comfortably from detailed analysis to an executive decision room. Outside work: boxing, cricket, painting, cars, cinema, and books.

$1.75Mannual operating cost saved
$300Kcarrier charges recovered
18%revenue growth enabled
12%conversion improvement
Selected work · swipe

Fourteen systems.
One business lens.

Swipe horizontally through every case. Each one connects a business question to a measurable operating outcome.

01

Customer intelligence

Business outcome78 → 92NPS across both in-store and e-commerce experiences

Omnichannel Customer Intelligence & NPS

A weekly decision system connected in-store and e-commerce NPS, customer comments, product issues, supplier signals, and regional performance—helping teams act on the experience behind the score.

Omnichannel NPSVoice of customerProduct & supplier intelligence
02

Service intelligence

Business outcome1 sourcefor service demand, workforce optimization, issues, and agent performance

Customer Operations Intelligence

A centralized service-intelligence platform moved Freshdesk data into Snowflake and turned customer conversations into executive workforce, issue, and agent-performance reporting.

FreshdeskWorkforce optimizationAI issue intelligence
03

Commercial growth

Business outcome700K → 770Kcustomer base in four months, supported by stronger commercial visibility

Marketing & Growth Intelligence

A connected measurement system brought sessions, media spend, sales, customer acquisition, retention, and Meta offline conversions into the same commercial view.

Marketing measurementMeta attributionAcquisition & retention
04

Product intelligence

Business outcomeFull historyof product pricing since inception reconstructed from SAP

Product, Pricing & Supplier Intelligence

A commercial intelligence layer connected historical pricing, competitive position, product-level customer feedback, repeat behavior, supplier performance, and assortment decisions.

Pricing historyProduct healthSupplier intelligence
05

Margin improvement

Business outcome$1.75Mannual savings and a 35% reduction in operating cost

Operational Cost Optimization

A profitability model exposed products with negative contribution margins and inefficient volume-to-box ratios. Scenario testing helped teams reshape the assortment without sacrificing sales volume.

ProfitabilityAssortment strategyCost-to-serve
06

Last-mile growth

Business outcome18%revenue increase through better delivery coverage and routing

Distance Matrix Routing Engine

An AI-driven routing engine that assigns each order to the nearest eligible store. A two-stage geographic filter lowered API cost while improving dispatch accuracy.

Delivery expansionRoutingCustomer experience
07

Executive reporting

Business outcome25+decision dashboards built and maintained for senior leadership

Data Visualization & Reporting

An enterprise reporting layer designed for leadership action across operations, logistics, marketing, product performance, finance, and granular P&L visibility.

C-suite reportingSelf-service BIOne decision layer
08

Forecasting

Business outcome$150Kannual savings with forecast error consistently below 5%

LSTM Forecasting System

A store-specific forecasting system for weekly gel-pack demand across 18+ locations, incorporating seasonality, holidays, delivery cadence, and manual business adjustments.

Inventory controlDemand planning18+ stores
09

Financial visibility

Business outcome2 marketsone self-service source of truth across U.S. and Canada

P&L Automation

An automated model unified sales, costs, media spend, freight, returns, and operational inputs from 12 source tables for U.S. and Canada teams.

Financial controlAutomationDecision velocity
10

Commercial growth

Business outcome12%conversion improvement from more relevant recommendations

Product Affinity Analysis

Association analysis across roughly 2,000 SKUs surfaced valuable co-purchase patterns for cross-selling, product visibility, placement, and inventory decisions.

Cross-sellMerchandising2,000 SKUs
11

Customer strategy

Business outcome10%sales growth from better-targeted commercial actions

Customer Segmentation Model

A clustering model organized customers across geographic, demographic, behavioral, and loyalty dimensions into a practical commercial framework.

TargetingPricingLoyalty
12

Financial recovery

Business outcome$300Krecovered, plus up to $250K in recurring annual savings

Carrier Invoice Data Audit

A forensic audit across weekly carrier files exposed unjustified surcharges and billing inconsistencies while informing ZIP strategy and contract discussions.

Cost recoveryCarrier strategyOTD improvement
13

Data foundation

Business outcomeDailydecision-ready reporting across core business functions

Enterprise Data Warehouse Automation

End-to-end pipelines transformed multiple raw business streams into governed models for daily, bi-weekly, and ad-hoc leadership reporting.

Reliable reportingData qualityLeadership visibility
14

Cloud modernization

Business outcomeClouda scalable analytics foundation replacing fragmented legacy flows

Cloud ETL / ELT Migration

A cloud migration workflow moved legacy data through structured transformation and modeling into a scalable reporting foundation for business users.

Faster accessScalable dataBusiness reporting
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How I work

Business context first.
Technology in service of it.

The business question leads. The technology follows—chosen for clarity, speed, reliability, and the decision it enables.

01Customer intelligence
02Product & supplier intelligence
03Commercial growth
04Operational optimization
05Executive decision systems
06AI-assisted analytics
Journey

A career built
across disciplines.

Wild Fork · JBSMiami, USA

Business Intelligence / Global Operations & CX Analyst

Leading analytics across e-commerce, customer experience, commercial performance, and operations.

Saint Peter's UniversityNew Jersey, USA

Master's in Data Science

Advanced analytics, machine learning, and decision science, completed with a 3.98 GPA.

L'atelier DesignRemote

Business Analyst · Analytics Engineer & Data Insight

Connected commercial reporting, customer segmentation, pricing, and cloud modernization.

SRM UniversityIndia

Bachelor's in Civil Engineering

Built the analytical discipline and systems thinking behind a career in data and business strategy.

Contact

Let's make the
next move count.

Email meLinkedIn

Bala Prakash · Customer intelligence · Growth · Operations

Portfolio · 2026

Customer intelligence · Business intelligence · Global operations · Data + AI

Bala
Prakash

Enter portfolio
$1.75M

annual operating cost saved

$300K

carrier charges recovered

18%

revenue growth enabled

12%

conversion improvement

Built where business
questions become systems.

I'm Balaprakash Ananthakumar, a Data & Analytics Specialist at Wild Fork, part of JBS, working across business intelligence, global operations, and customer experience. Over 6+ years in retail and e-commerce, I've focused on helping teams understand what is happening, why it matters, and what the business should do next.

My work connects commercial performance, customer behavior, operations, supply chain, and leadership priorities. I enjoy turning unclear questions into practical systems, visible trade-offs, and measurable actions that strengthen growth, efficiency, and the customer experience.

With a Master's in Data Science, I move comfortably from a detailed data model to an executive decision room. Outside work, I'm into boxing, cricket, painting, cars, cinema, and books—including a year when I read sixty. Above all, I'm grateful for my parents, my wife, and the people who are part of my life.

Experience across

Multiple Systems
– One Business Lens

Hover a tile to preview it. Click to keep it open. Each project connects a real business question to a measurable operating outcome.Tap a project to explore it. Every case connects a business question to a measurable outcome.

Customer intelligence

Omnichannel Customer Intelligence & NPS

A weekly decision system connected in-store and e-commerce NPS, customer comments, product issues, supplier signals, and regional performance—helping teams act on the experience behind the score.

Omnichannel NPSVoice of customerProduct & supplier intelligence
Business outcome78 → 92NPS across both in-store and e-commerce experiences
Read full project
Balaprakash Ananthakumar

The work matters
when the business moves.

I bring customer understanding, commercial priorities, and operational reality into the same conversation. The goal is never more reporting. It is a clearer decision, stronger execution, and an outcome the business can measure.

01Business impact measurement
02Executive decision systems
03Operational optimization
04Customer & product analytics
05Forecasting & machine learning
06Financial & statistical modeling
07Data strategy & architecture
08Automation & orchestration
09Snowflake · SQL · Python
10AI-assisted analytics
11AWS · Azure · GCP
12dbt · Databricks · Fivetran
13Qlik Sense · Power BI
14Tableau · Looker · Streamlit
15API integrations · Webhooks
16Airflow · n8n · CI/CD
17A/B testing · NLP
18Recommendation systems
19Root-cause analysis
20Process optimization

A career built
across disciplines.

Wild Fork · JBSMiami, USA

Business Intelligence / Global Operations & CX Analyst

Leading analytics across e-commerce, customer experience, commercial performance, and operations, with work contributing to major savings, growth, and stronger executive visibility.

Saint Peter's UniversityNew Jersey, USA

Master's in Data Science

Expanded a business foundation into advanced analytics, machine learning, and decision science, graduating with a 3.98 GPA.

L'atelier DesignRemote

Business Analyst · Analytics Engineer & Data Insight

Connected customer segmentation, commercial reporting, and cloud modernization to pricing, targeting, and measurable sales improvement.

SRM UniversityIndia

Bachelor's in Civil Engineering

Built the analytical discipline and systems thinking that later became the foundation for a career in data and business strategy.