Aleksandr Balanov
Product Management
Pattaya, Thailand
Skills
Data Analysis
About
Aleksandr Balanov's skills align with Database Specialists (Information and Communication Technology). Aleksandr Balanov has 6 years of work experience, with 4 years of management experience, including a low-level position.
Work Experience
Data Analyst, LIV Real Estate
September 2022 - Present
- digital company in Asia with a remarkable 245% annual growth rate Pattaya, Thailand Designed and developed a dynamic real estate sales and rental visualization platform using Plotly Dash, integrating predictive pricing models and investment area mapping powered by SciPy, seaborn, folium, and Scikit-learn libraries. The solution empowered data-driven investment decisions, resulting in a remarkable 30% revenue increase for the real estate company; Effectively performed ad-hoc data analysis tasks, resulting in a 20% increase in lead conversion rate, leveraging web-scraping techniques and key data science libraries including numpy, pandas, matplotlib, and seaborn;
Lead Data Analyst, RCIT
Republican Center of Infocommunication Technologies
January 2018 - April 2022
- IT consulting firm specializing in assisting organizations in adapting to the digital age, with a turnover exceeding $23 million, 170+ employees Responsibilities Led and coordinated multiple cross-functional teams, totaling approximately 100 individuals, in the development of data-driven products and solutions Defined and implemented strategic initiatives, aligning projects with business objectives, and ensured the successful delivery of advanced analytics solutions Achievements: Developed and implemented an analytical system for real-time digitizing the registration and tracking process of COVID-19 cases, contact tracing, and monitoring of citizens in self-isolation, optimizing resource allocation and reducing labor costs by 3 times through data-driven efficiency improvements; Developed an analytical system to track financial discipline and project execution, resulting in a 15% reduction in labor costs and a 6% increase in working capital management efficiency through the integration of data from various systems via API and Tableau BI analytics; Сreated an automotive secretary system that autonomously classifies incoming documents, distributing them among departmental executives through integration into the unified electronic document management system, resulting in a significant 25% reduction in labor costs by utilizing Natural Language Processing (NLP) modeling and SQL integration from diverse databases; Developed a multi-source customer feedback visualization system (combining social media, emails, and reviews) resulting in an NPS increase to 93.4% leveraging API integrations and Natural Language Processing (NLP) modeling; Developed a data-driven voice assistant for a medical contact center, accelerating application processing by 40% and improving the availability of the doctor's house call line by 30%. Achieved through in-depth call data analysis using the Scikit-learn SVM classification model and SQL integration from diverse databases; Uncovered data-driven insights to architect a comprehensive hardware and software infrastructure for an Intelligent Transport System (ITS) serving the urban agglomeration, securing a prestigious federal grant of $6 million through the integration of data from various systems and deployment of a prescriptive analytics model; Engineered a billing and payment system for Wi-Fi Internet access in challenging Arctic and northern regions. Achieved a remarkable 300% increase in service revenue and a substantial 60% reduction in labor costs by leveraging Power BI analytics on traffic data; Developed targeted cross-sales strategies, leading to a remarkable 250% surge in service revenue, leveraging financial and business intelligence (BI) analytics. CO-PROFESSIONAL LEADERSHIP Volunteered as a firefighter during forest fires, leveraging this experience to develop and implement an advanced data-driven information-analytical system for Operational Monitoring of Forest Fire Emergencies, optimizing emergency response decision-making and reducing emergency zone identification time by 50% through real-time data analytics and predictive machine learning models; Served as a speaker and organizer for conferences such as "Digital twins" and "Coffee hour with digital projects, " and participated in panel discussions at the IceBerg 2.0 conference; Participated as a contestant, later transitioning to a mentor and judge role in hackathons such as "Hack-the-ICE" and "My profession - IT".
Education
Tomsk State University of Control Systems and Radioelectronics
Master of Engineering in Radio Communication
Coursera
Certificate
Tomsk State University
