Three Steps in Trendify
Established in 2019
Working for Automl Product since 2019
We are improving our know how since 2019
Located in 2 Offices
İzmir
İstanbul
Serving 10+ Brands
Allianz , Burberry , Eren Holding , Lacoste , Martaş , SuperStep ...

How Do We Work

Power of Team
Customer Satisfaction
Quick and Right Decisions

Who We Are?

M. Can Tüfekçi
M. Can Tüfekçi
Founder
Focusing on delighting our customers
Gülcan Şalvız
Gülcan Şalvız
Data Engineer
Responsible for maintaining an entire data ecosystem
Ege Atmaca
Ege Atmaca
Data Scientist
Automate, accelerate and improve your ML-workflow
Mustafa Gencer
Mustafa Gencer
Data Scientist
Development of Automated Data Science Processes
Ezgi Erdem Aytaç
Ezgi Erdem Aytaç
Head of Product
Aimed to generate and develop new ideas
Tuğba Peker Gülbahçe
Tuğba Peker Gülbahçe
Product Manager
Empower the all process of product
Tuğçe Sözer
Tuğçe Sözer
HR Business Partner
Managing HR processes and ensuring coordination
Berkay Çiloğlu
Berkay Çiloğlu
Jr.BI Consultant
Newbie data enthusiast
Ecrin Enveroğlu
Ecrin Enveroğlu
Intern Product Manager
Supporting the team with product and industry research

They Trust Us

We’re Hiring!

Trendify Analytics; with the motto From Raw Data to Actionable Insight, it is a technology development company.

In a short time, we started to play a role in establishing data platforms and developing analytical solutions with our reference customers.

In addition to providing consultancy services in the field of business intelligence and data analytics to the Retail, E-commerce, Insurance and Automotive industries, we work with all our strength to develop software in the field of Automated Machine Learning with our R&D team.

 

We are looking for a “Business Intelligence Consultant” who is people-oriented, passionately pursuing new technologies, and will add strength to our strength with our agile and reliable work culture.

 Location : only Izmir or Istanbul

Qualifications:

  • Degree in a field such as computer, industrial, mathematics engineering, applied mathematics, or related data centric areas
  •  2+ years of experience in building complex data products
  • Proficiency with SQL
  • Experienced in data integration tools,
  • Experienced in data warehouse modeling,
  • Knowledgeable/experienced in database tables and relational architecture,
  • Experienced in reporting tools (Power BI, OLAP,Tabular Model) and development of reports,
  • Having experience in implementation on MS SQL Server,
  • Ability to communicate effectively with non-technical stakeholders

Job Description

  • Preparing data models suitable for the strategy by using Business Intelligence technologies,
  • Creating necessary reports and data sets by analyzing all data sources for business units,
  • Managing and customizing all ETL processes according to the needs of business units and analyzing all processes,
  • Creating data models related to data transformation, data quality, metadata management, reporting and analytics, and sharing them with relevant teams,

Trendify Analytics; With the motto From Raw Data to Actionable Insight, it is a technology development company.

In a short time, we started to play a role in establishing data platforms and developing analytical solutions with our reference customers.

In addition to providing consultancy services in the field of business intelligence and data analytics to the Retail, E-commerce, Insurance and Automotive industries, we work with all our strength to develop software in the field of Automated Machine Learning with our R&D team.

We are looking for a “Data Scientist” who is people-oriented, passionately pursuing new technologies, and will add strength to our strength with our agile and reliable work culture.

Location: only Izmir or Istanbul

Qualifications:

  • Degree in a field such as computer, industrial, mathematics engineering, applied mathematics, or related data centric areas
  • 3+ years of experience in building complex data products
  • Strong knowledge of statistics, machine learning, and AI processing
  • Proficiency with SQL and Python
  • Experience in consulting especially in analytics and data science projects
  • Strong understanding business processes and application of advanced analytics
  • Ability to communicate effectively with non-technical stakeholders

Responsibilities 

  • Collaborate with PMs, designers, and engineers to scope and build data products.
  • Perform statistical analysis, key metrics, and feature engineering for data products.
  • Develop production-grade data pipelines to power ML-based data products.
  • Design and analyze experiments and monitor the performance of data products.
  • Proactively influence product prioritization through data-driven insights.

If you are interested in working with us, please send your CV (in English) to hello@trendify.com.tr

They Experienced AutoML
Osman Şentürk
Osman Şentürk
CEO - Eren Retail

With our decision support systems built on the corporate data warehouse, we can manage all countries from a single point and ensure that everyone looks at the same metrics. Thank you Trendify.

Burak Ilgaz
Burak Ilgaz
General Manager - Lacoste

Together with Trendify, we reconstructed our data warehouse and events.In this way, we can monitor the ERP systems in all countries through a single system. The knowledge of the Trendify team has been a guide for us.

Samet Kasapoğlu
Samet Kasapoğlu
Business Analytics Manager - Allianz Insurance

Thanks to Trendify expert analytics teams and the products,we have achieved the financial targets for our litigations process in a short time .

Learn More

Offices in

Istanbul / Turkey
42 Maslak, Maslak Mah., Ahi Evran Cd. No:6 D:3, 34398 Sarıyer/İstanbul
0 212 924 24 10
Izmir / Turkey
Gülbahçe, İzmir Teknoloji Geliştirme Bölgesi İzmir Yüksek Teknoloji Enstitüsü, 35437 Urla/İzmir
0232 765 90 91

Frequently Asked Questions

Trendify is suitable for use in many different environments. However, we recommend using it in a cloud environment.

A stronger baseline we will use is an approach that in addition to selecting the learner, also sets its hyperparameters optimally from a predefined set. More precisely, this baseline performs an exhaustive search over a grid of hyperparameter settings for each of the base learners, discretizing numeric parameters into three points.

AutoML could help data scientists within a company to save time and spend it more on more important stuff under normal conditions, the work of a data scientist and data analyst, which takes weeks, maybe months, Trendify AutoML can produce solutions at the level of days.

Trendify

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