Armin Kakas

Revify Analytics

Revify helps mid-market businesses ($10MM - $2B) move from data overload to profitable action. Our RGM-as-a-Service combines accessible, advanced analytics with expert Pricing & Revenue Growth Management advisory, providing a clear roadmap to unlock hidden margin leaks and drive revenue growth without enterprise-level complexity or cost.

Co-Founder

Revology Analytics

Revology Analytics is at the intersection of Advanced Analytics and Revenue Growth Management and specializes in impact and execution. If profitable growth, EBITDA expansion, and higher valuations are your goals, our strategies can help you achieve them.

We help mid-market companies ($10 million to $1 billion in revenues) overcome hurdles and elevate their business with pragmatic solutions focused on three critical areas:

1. Pricing & Revenue Management

2. Sales & Marketing Enablement

3. Commercial Analytics Transformation

Founder | Managing Partner

Pricing Lever

Consulting Partner for boutique Pricing Strategy advisory firm focused on Industrial Manufacturing and Distribution.

Consulting Partner

EBITDA Catalyst

Consulting partner for a specialized Revenue Management consultancy for middle-market and private equity portfolio companies. My advisory work focuses on three primary areas:

1. Margin Analytics & Optimization: Building 90/10 custom solutions for mid-market firms, primarily Manufacturers and Distributors, who want to augment their decision-making capabilities.

2. Promotion Effectiveness & Optimization: From distributors to retailers, provides crucial expertise to maximize ROI in this critical lever of profitability.

3. Sales & Customer Growth Analytics: Building on all-around analytics chops & deep understanding on the human sales execution factor, enables growth with both insights and Sales teams training & playbook development.

Reliancy

Senior Advisor for leading Sales & Marketing Enablement AI/ML advisory firm.

Senior Advisor - Revenue Growth Analytics

American Tire Distributors

I co-founded, built and scaled ATD’s first ever corporate analytics startup, driving incremental profits, valuation and industry profile for parent company ATD. Reporting to subsidiary CEO, I steered the data monetization strategy and execution of customer-facing ML-enabled SaaS solutions, growing the business from 0 to over 2,500 retail locations and manufacturers as customers. Additionally, drove ATD’s analytics transformation by prioritizing and building internal enterprise analytics solutions that augmented organizational decision-making capabilities, shifting the business to a data-driven culture.

A few key accomplishments in this role include:
• Forged key strategic partnerships with 10 of the 15 largest Point-of-Sale (POS) providers in the automotive aftermarket industry. Opened new revenue streams and paved the way for monetization of syndicated, anonymized POS transactional data.
• Led 15-member commercialization team (data translators, business development and sales ops managers) and influenced 50-member technical team to build innovative SaaS solutions that solved key customer pain points in competitive market and pricing insights, inventory management and optimization and profit / sales mix optimization.
• Realized substantial revenue and EBITDA growth for parent company in 3 years after conceptualizing and launching advanced analytics products across supply chain, revenue management and sales. 
• Represented analytics startup at industry conferences and served as trusted advisor and AI-translator to both ATD senior executive team and key clients within tire industry.

Vice President, Advanced Analytics Commercialization: Chief Customer Officer of Analytics Incubator

I was brought on to transition the revenue management function into a data science-driven department. I shifted the department to a Lean framework and expanded pricing capabilities by creating the company’s first in-house machine learning-enabled pricing solution that improved cash flow and liquidity using R, Python and Google Cloud SQL. 

Key accomplishments in this role include:
• Through architecting and deploying clearance price optimization platform, unlocked $300M in liquidity and $15M in gross profits from unproductive inventory despite difficult market.
• Developed and deployed descriptive and diagnostic price and margin analytics dashboards companywide using Tableau.

Director, Advanced Analytics: Head of Pricing and Margin Analytics of $5B Enterprise

Wells Enterprises

Recruited to transform administratively focused pricing team into strategic revenue growth management (RGM) group with analytics and strategy foundation for top 5 manufacturer of frozen desserts. Built RGM function from ground up, delivering volume and profit growth and providing actionable performance insights that optimized decision making. Shapeshifted business strategy and culture by establishing four key capabilities: 1) pay-for-performance mindset for promotions; 2) value-based pricing for private label business; 3) advanced analytics driven pricing architecture; 4) dynamic scenario analyses and optimization.

• Achieved 5% and 3% EBITDA growth in FY16 and FY17 despite relatively flat industry. Employed strategic price increases, restructured rebate programs across all channels, implemented rigorous pricing council reviews, and optimized price pack architecture.
• Brought order to chaotic pricing structure process by selecting team of 8 to create and implement standardized pricing strategy and processes and right size price and product positioning based on perceived price-value maps.
• Drove 13% in total Gross Profit $ in FY16 (+11% in unit volume and +2% in GP$ per unit) for anchor brand via tiered pricing strategy and optimized promotion plans that maximized in-store display and advertising support.
• Orchestrated launch of Tableau server and promotional data warehouse migration in MS Azure. Enabled self-serve descriptive and diagnostic price and margin analytics companywide. 
• Harmonized shipment and sellout data to produce macro- and micro-level promotion effectiveness platform that raised ROI from 80% to 92% in 1.5 years.

Director, Revenue Growth Management: Head of RGM and Advanced Analytics of $2B Consumer Goods Co. 

Best Buy

Accelerated dynamic pricing capabilities as lead of data science team in pricing and merchandising strategy analytics. Masterminded strategy and blueprint for pricing strategy across 1K+ stores. Engineered algorithmic framework to implement dynamic pricing for physical and online stores. Led global team to develop innovative solutions that drove business growth.
•	Designed pricing science roadmap, authored descriptive/predictive analytics capabilities, and directly contributed to the evolution and adoption of human capital/resources.
•	Cut 70% of budget by insourcing strategic planning and implementation function enterprise wide. 
•	Produced 30+bps jump in gross margin after introducing adaptive pricing techniques / capabilities.
•	Won Leadership Award for personal impact based on transformational strategies within pricing function.

Head of Price Analytics & Modeling: Building and Implementing Dynamic Pricing for $50B Retailer

MillerCoors

Collaboratively led a talented, tenured team of analytics professionals responsible for all aspects of revenue management for 500+ distributors and approximately 4k Walmart/Sam’s Club stores.

♦ Drafted an organizational roadmap for retail chain revenue management capabilities. Realized category and margin growth with the use of advanced price analytics.
♦ Successfully delivered unique and specific insights through a combination of integrated data and machine learning methods. Improved the quality and sustainability of newly presented insights.

Manager, Pricing Analytics and Strategy: Head of RGM for $700M Walmart / Sam’s Club Business Unit

GE Capital

♦ June 2011 - June 2012: Sales Force Effectiveness (SFE) Leader
♦ June 2008 - June 2011: Experienced Commercial Leadership Program (ECLP) Participant/Graduate
- 3rd ECLP rotation: Marketing Analytics (GE Capital Retail Consumer Finance - now Synchrony Financial)
- 2nd ECLP rotation: Marketing Analytics & Strategy (Vendor Finance - now part of Wells Fargo)
- 1st ECLP rotation: Price Analytics & Strategy (Equipment Finance - now part of Wells Fargo)
- ECLP Internship: Corporate Finance

Commercial and Consumer Finance Analytics and Strategy (various)

Revenue Growth Analytics advisor to executives in charge of growing Net Revenue, Gross Profit, and Sales Productivity | Posts and articles about Revenue Management + Machine Learning insights, methods, and processes.

As the founder of Revology Analytics, I have the privilege of offering mid-market businesses unparalleled expertise in advanced Revenue Growth Analytics & Management, focusing on three core advisory areas: Pricing & Revenue Management, Sales & Marketing Enablement and Commercial Analytics Transformation efforts. 

Beyond my advisory work, I am the creator of the Revology Analytics Insider, a bi-weekly newsletter offering readers unique insights into the world of Revenue Growth Analytics. You can catch the latest issues on LinkedIn and our website, revologyanalytics.com/articles-insights.

To learn more, please visit revologyanalytics.com

Revology Analytics is a Revenue Growth Analytics consultancy for middle-market companies in the Manufacturing, Retail, and Distribution industries.

We are an impact- and execution-oriented advisory firm founded on Outcome-Based Analytics™, with focused specializations in AI/ML-enabled Margin Analytics & Optimization, Sales & Customer Growth Analytics and Promotion Effectiveness & Optimization.

MetricWorks

Data Scientist

GroupM

•Ran marketing mix modeling projects for various global brands in diverse countries, utilizing statistical analysis techniques such as linear regression, ridge regression, bayesian regression to estimate the impact of different marketing tactics. Generated valuable insights by isolating media effects from other factors and developing a formula to calculate the contribution of each variable.
•	 I utilized tools such as Meta Product Robyn and Geolift to optimize the precision and efficiency of the modeling procedure.
•Developed ROI response curves and optimized budget allocation strategies based on the results of marketing mix modeling. Effectively collaborated with cross-functional teams to drive data-informed decision-making and achieve optimal marketing performance for clients.

•Actively contribute to the development and enhancement of our company's internal marketing mix modeling (MMM) tools, utilizing R Shiny. Collaborate with the development team to design and implement user-friendly interfaces, enabling efficient data analysis and visualization for MMM projects. This involvement allows for continuous improvement and customization of the tools to meet the specific needs of clients and stakeholders
•Engaged in various machine learning projects involving classification, clustering, and forecasting tasks. Utilized appropriate algorithms, such as decision trees, random forest, logistic regression, and K-means clustering, to analyze data, identify patterns, and make data-driven predictions

Garanti BBVA Teknoloji

Analythinx | The Data Science Company

Publicis Media

•	Extensively involved in Data preparation, Exploratory analysis, Feature engineering using supervised/unsupervised modeling and statistical inference

•	Getting and Cleaning Data to build model

•	Experience in implementing Regression Analysis for build Media Mix Modelling

•	Professional working experience in Machine Learning algorithms such as , Linear Regression, Logistic regression, Decision Trees, Random Forest, Clustering

•	Performing statistical analysis on media data sets by using R and Excel

•	Experience in using Tableau and R Shiny package for creating interactive dashboards

•	Experience in using various packages in R like dplyr, data.table, ggplot2, tidyverse,  caret, rpart, tidymodels.

•	Performed customer segmentation using unsupervised clustering techniques (K-Means and K-Mode)

•	Used classification techniques including Random Forest and Logistic Regression to developing churn prediction models

•	Literature search for new algorithms

Hoop Medya Inc.

•Working on as Account management, Media planning, Publisher Inventory management, Business Strategy,DSP solution provider, Campaign Management, Campaign optimization, Media buying, in all type of revenue models(CPM, CPC, and CPA etc), RealTimeBidding(RTB), Demand Side Platform(DSP), Supply Side Platform(SSP)

•Setting up campaigns on trading desk

•Analysing and reporting campaign metrics to clients and answer their needs.

•Optimizing campaigns for different needs of clients such as collecting leads, brand awareness etc.

Programmatic Operation Analyst

Perzonalization

With the help of 870 Million pages we have personalized so far, we have learned that understanding the visitor is the key in personalizing a web site. With Perzonalization; we provide real time predictive personalization solutions for online stores and content sites with the help of the unique micro-segmentation technology we developed in house. Perzonalization's services include web, mobile and e-mail personalization. Perzonalization's personalized recommendations can help its clients increase their revenues up to 25% and pageviews by 10%.

Data Analyst Intern

Wissen Akademie

Microsoft Software and Database Specialist Training

Programming in C#

•	Review of C# Syntax
•	Creating Methods, Handling Exceptions, and Monitoring Applications
•	Developing the Code for a Graphical Application
•	Creating Classes and Implementing Type-safe Collections
•	Creating a Class Hierarchy by Using Inheritance
•	Reading an Writing Local Data
•	Accessing a Database
•	Accessing Remote Data
•	Designing the User Interface for a Graphical Application

Designing Querying and Programming Database 

•Introduction to SQL Server 2012 and its Toolset
•	Working with Data Types
•	Inroduction to T-SQL Querying
•	Designing and Implementing Views
•	Designing and Implementing Stored Procedures
•	Designing and Implementing User-Defined Functions
•	Responding to Data Manipulation via Triggers
•	Programming with T-SQL

Wissen Akademie & İşkur Qualified IT Specialist Program

Empero Industrial Kitchen Equipment Marketing Import & Export Trade Co.

.      Meeting customers face to face and handling & prioritising problems.

 .	Prepare quotation after analyzing profitability ratio that quotation requesting by the customers

 .	To report  factory confirmed offers and after-sales service

 .	 Checking architectural drawings(autocad format) for restaurants, hotels and prepare quotation

.	Doing marketing research to find new client

Foreign Trade Specialist

I am a data science enthusiast who is currently working for a media agency as a data scientist and a master's student of Statistics at Yıldız Teknik University. Around 5 years of media agency experience as a Data Scientist, including profound expertise and experience on statistical data analysis such as transforming business requirements into analytical models, designing algorithms, and strategic solutions that scales across massive volumes of data. I’m very interested in machine learning, big data analytics and data mining. My expertise area in exploring, manipulating and visualizing data to find new patterns and signals, building statistical and quantitative models (e.g., regression, classification, clustering) with tools such as  R Programming Language, Excel, Tableau, IBM SPSS Statistics,etc.

In my current job, I m spending most of my time by building Marketing Mix Modelling  in R and Excel .I m also creating interactive dashboards with using Rshiny and Tableau

Marketing Mix Modelling is statistical analysis such as multivariate regressions on different KPIs such as sales, website visits, etc. and marketing time series data to estimate the impact of various marketing tactics (marketing mix). We isolate media effect from other factors and create a formula so that we can calculate contribution of each variable. In this project R and Excel is used for building model and exploring model variables whether statistically significant or not

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