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Innowise Sp. z o.o logo

Innowise Sp. z o.o

Ilya A. logo

Ilya A.

Available now

Data Scientist / Machine Learning Engineer @ Innowise Sp. z o.o

Senior
Seniority
GMT+01:00, Warsaw, Poland
Location & Timezone
$60 - $69/hr
Average Hourly Rate
English, Polish
Languages

Top skills

Python
TensorFlow
PyTorch
LangChain
AWS

About

Data scientist / Machine Learning engineer with more than 6 years of experience. Sharp focus on data-centric projects. Proven ability to identify business problems and address them using Data Science techniques. Proficient in end-to-end ML projects lifecycle: from elaboration to production support. Areas of expertise include predictive modeling, analytics, and natural language processing.

Top skills

Verified by Pangea.ai due diligence

Top SkillsCurrent UsageSeniority
Python
20%10 years
TensorFlow
20%10 years
PyTorch
20%10 years
LangChain
20%10 years
AWS
20%10 years

All skills

Roles and tools, to bring ideas to life and create meaningful experiences

AI & ML Solutions
Data Analytics and Visualization
Enterprise Software
CRM
Telemedicine
E-Commerce
IoT & Smart Devices
Cloud Computing
API
Marketplaces
Conversational AI
PaaS
Hardware
Databases

Professional experience

Explore a curated selection of projects highlighting Ilya A.'s expertise and experience. Each project aims to showcase challenges, solutions, and the final outcome, along with the tools and technologies used.

NDA
JOB SEARCH PLATFORM — Machine Learning engineer / MLOps
Online platform designed to support and implement principles of equality and inclusion in the job search process for diverse minorities. Our mission is to create a barrier-free and welcoming space where members of minority groups can find suitable employment opportunities and career development.
Python
PyTorch
PostgreSQL
Docker
NDA
INVESTMENT PORTFOLIO OPTIMIZATION — Machine Learning engineer / Data Scientist
This project aims to develop and apply algorithms and investment strategies that achieve an optimal balance between returns and risk for investors' portfolios. We utilize advanced data analysis methods and machine learning to identify the most promising assets and their optimal allocation within the portfolio, ensuring high returns with minimal risk exposure.
Python
PyTorch
AWS
Docker
PostgreSQL
NDA
PREDICTIVE MODELS FOR MAJOR STEEL PRODUCERS — Data Scientist / Machine Learning Engineer
Project includes the creation of predictive models for major steel producers to help plan the use of natural resources. Estimates are evaluated to achieve various goals: reliability, speed, interpretability, etc.
Python
MySQL
GitHub

Preferred tools

View the preferred tools and apps used by Ilya A. to assess compatibility and alignment.

Azure
Azure
Git
Git
Google Chat
Google Chat
Google Drive
Google Drive
Google Meet
Google Meet
Google Tasks
Google Tasks

Career highlights

Discover Ilya A.’s professional journey, including employment history, certifications, and educational background.

Machine Learning engineer / MLOps
JOB SEARCH PLATFORM⸺2023 - Present
Online platform designed to support and implement principles of equality and inclusion in the job search process for diverse minorities. Our mission is to create a barrier-free and welcoming space where members of minority groups can find suitable employment opportunities and career development.
Machine Learning engineer / Data Scientist
INVESTMENT PORTFOLIO OPTIMIZATION⸺2022 - 2023
This project aims to develop and apply algorithms and investment strategies that achieve an optimal balance between returns and risk for investors' portfolios. We utilize advanced data analysis methods and machine learning to identify the most promising assets and their optimal allocation within the portfolio, ensuring high returns with minimal risk exposure.
Data Scientist / Machine Learning Engineer
PREDICTIVE MODELS FOR MAJOR STEEL PRODUCERS⸺2021 - 2022
This project includes the creation of predictive models for major steel producers to help plan the use of natural resources. Estimates are evaluated to achieve various goals: reliability, speed, interpretability, etc.
Data Scientist / Machine Learning Engineer
ROLLING SHOP ENERGY CONSUMPTION⸺2020 - 2021
During steel rolling, bell annealers are used to soften steel by running it through slow heating cycles. Depending on the properties of the metal and a given furnace, as well as operation specifics, heating takes a different amount of energy. The task was to predict the consumption using Machine Learning, outperforming the rolling shop production specialist
Machine Learning engineer / Data Scientist
WAREHOUSE CCTV⸺2019 - 2020
The system utilizes CV technology to monitor storage shelves and packing areas within a warehouse. It is capable of identifying issues such as boxes that are stored in the wrong location, boxes that are not properly placed on the shelves, as well as loose or damaged packaging. Additionally, the system monitors the packaging process to ensure that items follow the correct path through the packing area.
Data Scientist / Machine Learning engineer
MARKETING OPTIMIZATION⸺2018 - 2019
Optimized promo and media content broadcast scheduling, advertisement plans, and spend allocation.

Testimonials

TeamLead @ Innowise Sp. z o.o

Innowise Sp. z o.o

Verified Testimonial

“Ilya, our Machine Learning Engineer/Data Scientist on our Investment Portfolio Optimization project , developed advanced algorithms balancing returns and risk. His ML-driven strategies analyzed data to select optimal assets and allocations, delivering high-performance portfolios with minimal exposure. Revolutionized investor outcomes!“

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