Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 5

Diploma project on mining objects in real time, starting from collecting data and developing a
model, training the data on it and classifying the objects. This project won 2nd place in the IT Fest
2021 Hackathon in the 'Ready-made solutions' section.
Hi everyone!
Accomplishment-oriented data analyst holding a master's degree in Data Science and boasting over 5 years of expertise spanning analytics, data engineering, and research. Skilled in Python, Machine Learning, BI Tools, Airflow, Docker, and JavaScript, with a demonstrated knack for conveying intricate concepts to both technical and non-technical audiences. Driven by strong motivation and a meticulous approach, coupled with an unwavering commitment to ongoing learning. Dedicated to crafting effective resolutions for data-driven predicaments.
If my qualifications align with your business requirements, I invite you to reach out. Let's connect and explore how we can collaborate to drive success. 
Responsibilities:

1. Skillfully conducted A/B tests and carried out intricate data analyses, providing actionable suggestions for enhancing products and steering decision-making based on data insights. This effort resulted in notable advancements in key performance indicators (KPIs), product metrics.
2. Employed a robust technological framework including Airflow, Python, Docker, and SQL to construct resilient ETL pipelines. This facilitated smooth data conversion and loading, ensuring the integrity of data throughout the entire process.
3. I created an analytics service designed to automatically detect anomalies in data. By utilizing statistical analysis and machine learning techniques, I accurately identified concealed anomalies, leading companies to promptly mitigate risks by 47% and enhance overall operational efficiency by 32%. This service contributes to improved management quality and operational reliability, ultimately yielding superior business results.
4. Took charge of developing and training a real-time model for people and product recognition, leveraging cutting-edge computer vision and neural networks. This led to an impressive accuracy rate of 80-82%. Furthermore, designed a sophisticated backend service automating the shopping process, resulting in the project securing the second position in the "ready-made solutions" category at a prestigious hackathon.
5. Significantly optimized database operations, reducing the burden on Talend ETL by an impressive 52%, facilitating seamless handling of extensive data volumes, and ensuring efficient data management.
6. Devise and put into action dynamic dashboards for real-time monitoring of critical service metrics. This empowers early issue identification and data-powered decision-making.