Qlik Sense
Asparuh Emilov
Data Analyst
Sofia
Summary
Results-driven Data Analyst with 4+ years of experience with a proven track record at Telus International Bulgaria and Fastmarkets, skilled in predictive modeling and analytical thinking. Enhanced team efficiency by automating data visualizations and streamlining processes, while fostering collaboration through clear communication. Committed to continuous improvement and operational excellence, leveraging strong problem-solving abilities to drive impactful insights.
Overview
10
10
years of professional experience
6
6
Certificates
3
3
Languages
Work History
Data/Index Analyst
Fastmarkets
Sofia
04.2024 - 09.2025
- Enhanced team collaboration by providing clear communication of complex findings through visualizations and reports.
- Collaborated with cross-functional teams to identify opportunities for process improvement and increased efficiency.
- Improved internal knowledge sharing by developing comprehensive documentation outlining standard operating procedures for various tasks.
- Increased efficiency by streamlining data analysis processes and implementing automation tools reducing the manual work from 1 hour to just 15 min.
- Developed an AI-driven tool that streamlines data analysis by rapidly profiling unknown datasets, eliminating redundant columns, visualizing inter-variable relationships, and providing targeted analytical recommendations.
Senior Data Analyst
Telus International Bulgaria
Sofia
04.2022 - Current
- Analysed large amounts of data to identify trends and find patterns, signals and hidden stories within data.
- Used business objects, business intelligence and other reporting tools to extract data from data solutions and data warehouses using Qlik Sense, Power BI and API calls using Python.
- Identified, reviewed and evaluated data management metrics to recommend ways to strengthen data across enterprise.
- Created and automated data visualizations to present insights and tell compelling stories.
- Created automated Business Reports updates reducing the time needed from 5 hours to just 10 minutes.
- Created automated Bots with Python using Selenium to web scrape and maintain KPIs updated.
Business Analyst
Telus International Bulgaria
07.2019 - 04.2022
- Analyzed key aspects of business to evaluate factors driving results and summarized into presentations.
- Applied honed problem-solving skills to analyses and resolve issues impacting business operations and goal achievement. Assessed business requirements to forecast annual budgetary operational costs.
Workforce Real Time Analyst
Telus International Bulgaria
Sfia, Sofia-Capital
10.2018 - 07.2019
- Set and adjusted to schedules to maintain optimal coverage and service levels.
- Worked with management to develop strategic and tactical plans to meet different requirements.
- Gathered information about each position and related occupation with employee interviews, field observations and industry research.
- Produced reports to support smooth performance managing operations and internal career progression.
- Developed automated workflows using Google Sheets and Google Scripts to ensure real-time, accurate reporting—reducing processing time from 30 minutes to full automation with zero human intervention.
Subject Matter Expert
Telus International Bulgaria
09.2015 - 10.2018
- Designed and prepared technical reports and related documentation.
- Supported enterprise and business goals by introducing new procedures and service requirements.
- Installed, configured and monitored new system features based on user needs.
- Monitored and tracked employees progress to identify improvement opportunities.
Education
High School Diploma -
Maristas Castilla
Spain 09.2004 - 09.2006
Skills
Predictive modeling
Operations analysis
Training and Development
Analytical and Critical Thinking
Needs assessments
SQL expertise
Business intelligence
Machine learning
Statistical modeling
Natural language processing
Tableau software
Python programming
Advanced analytics
Advanced Excel
ETL processes
Data quality assurance
Algorithm development
NoSQL databases
Data mining techniques
Dashboard creation
Predictive analysis
Time series analysis
Deep learning
Stakeholder communication
Docker
Scikit Learn
Pandas
CrewAI
Numpy
Software
Tableau
Power BI
Microsoft Office Package
Google Office Package
Snowflake
Python
Github
Docker
Amazon Web Services (AWS)
Google Cloud
Big Query
Data Bricks
Interests
Machine Learning and Forecasting
Trading
Data Science and Advanced Statistical Methods
Certification
100 Days of Code: The Complete Python Pro Bootcamp
Accomplishments
- Used Python to develop a Churn Forecasting algorithm for the company with the potential to save couple of millions of Revenue loss each year.
- Created and deployed successfully end to end a webapp that is using CrewAI Agentic system and an ML trained model as a tool to predict income >=50K USD based on the famous adult dataset from the UCIMLRepo.
- Successfully automated WBR/MBR/QBR report that usually took an entire day of manual work to just 15 min.
- Developed a highly accurate multivariate time series forecasting meta-model in Python to reliably forecast expected tickets volume on an hourly basis for the entire month.
- Created my own local chatbot that can answer questions from my documents using RAG.
Timeline
Data/Index Analyst
Fastmarkets
04.2024 - 09.2025
Senior Data Analyst
Telus International Bulgaria
04.2022 - Current
Business Analyst
Telus International Bulgaria
07.2019 - 04.2022
Workforce Real Time Analyst
Telus International Bulgaria
10.2018 - 07.2019
Subject Matter Expert
Telus International Bulgaria
09.2015 - 10.2018
High School Diploma -
Maristas Castilla
09.2004 - 09.2006
Languages
Bulgarian
Spanish
English
Programming, Trading, Forecasting
- Proficient in Python and SQL for analytics and
data engineering, using NumPy, SciPy, pandas,
scikit-learn, XGBoost, LightGBM, and
statsmodels; visualization with Matplotlib,
Seaborn, and Plotly.
- Built forecasting solutions across multivariate
time series using statistical methods and feature
engineering, as well as deep learning
(LSTM/sequence models) for hourly and
monthly horizons; experience with backtesting,
cross-validation, and model monitoring.
- Developed production-ready analytics
workflows and dashboards, and implemented
streamlined, ongoing data management
processes to ensure reliability and
maintainability.
- Financial domain experience: understanding
of the investment process and portfolio
management; researched, engineered, and
validated alpha signals; scaled analytics over
structured and unstructured data to extract
actionable insights.
- Containerized data and ML workloads with
Docker for reproducible environments and
portable deployment; collaborated across
teams to deliver robust, operational solutions.