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Ilya A Mukhatov

Ilya A Mukhatov

Certified

Aspiring Data Analyst

Abbott Laboratories | Canada

Technologies

My Portfolio Highlights

My New Workbook

UEFA Insights – 1. Win Probability Accuracy (Per Stage/Per Team)

My New Workbook

GitHub Project: Evaluating a Manufacturing Process using SQL and Python

My New Workbook

UEFA Insights – 2. Possession vs. Result Correlation

Turning Data into Actionable Insights for Smarter Healthcare & Operations.

My Work

Take a look at my latest work.

DataLab

UEFA Insights – 1. Win Probability Accuracy (Per Stage/Per Team)

DataLab

Project: Investigating Netflix Movies

DataLab

Project: Analyzing Students' Mental Health

DataLab

GitHub Project: Evaluating a Manufacturing Process using SQL and Python

DataLab

UEFA Insights – 3. Most Efficient Teams

DataLab

UEFA Insights – 2. Possession vs. Result Correlation

DataLab

Project: Visualizing the History of Nobel Prize Winners

DataLab

Project: Exploring NYC Public School Test Result Scores

DataLab

Project: Impact Analysis of GoodThought NGO Initiatives

My Certifications

These are the industry credentials that I’ve earned.

SQL Associate

SQL Associate

Data Analyst Associate

Data Analyst Associate

Other Certificates

Coursera IBM Data Analyst

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Career Transition | Mar 2025 - Present

Aspiring Data Analyst

Transitioning from a technical role in healthcare and electronics to data analytics, with a focus on solving real-world problems through data-driven insights. Over the past few months, I’ve earned multiple certifications and developed professional-grade analytics projects that apply industry-relevant tools and techniques. 🏆 Key Milestones: • Earned DataCamp SQL Associate and Data Analyst Associate certifications. • Preparing for Data Engineer Associate certification (expected Jun 2025). • Strengthened skills in SQL, Python, Tableau, Power BI, Snowflake, dbt, and PostgreSQL. GitHub Portfolio Highlights: • UEFA Champions League Analytics (2020–2022) with Snowflake SQL & Python - Tactical and performance insights from UEFA Champions League data using Snowflake SQL and Python visualizations. Link: github.com/I-Mukhatov/uefa-soccer-insights-sql-python • Evaluating a Manufacturing Process using SQL & Python - SQL-based analysis of a manufacturing process using Statistical Process Control (SPC), including alert diagnostics and visualizations in Python. Link: github.com/I-Mukhatov/sql-spc-analysis • NYC Restaurant Inspection Analysis with PostgreSQL & Tableau (in progress). - Data quality investigation and public health insights based on restaurant inspections in NYC, leveraging SQL and Tableau dashboards. Link: github.com/I-Mukhatov/NYC-restaurant-inspection-analysis Focus Areas: • Exploratory data analysis and performance diagnostics. • Cross-platform data integration and cleaning. • Real-world data storytelling through BI tools and Python notebooks.
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Abbott | Nov 2019 - Feb 2025

R&D Lab Intermediate Tech / Lead Hand

At Abbott Point of Care, I combined hands-on technical work with data-driven strategies to optimize lab operations, improve quality, and enhance manufacturing insights. I consistently sought out opportunities to apply analytics, automation, and process improvement principles across multidisciplinary lab environments. - To tackle inefficiencies, I designed and deployed a Power BI dashboard that integrated real-time lab performance data and improved project tracking efficiency by 20%. The development process included data cleaning, normalization in Power Query, schema design, and modeling, supporting scalable and accurate analytics. This full-stack approach, from data preparation to visualization, deepened my interest in data engineering and business intelligence. - Focusing on inventory optimization, I developed a centralized MS Access database, improving data accuracy by 30% and reducing inventory management time by 25%. I carried out key data engineering tasks such as SQL structuring, schema creation, user access configuration, and integrated the database with Power BI to deliver real-time inventory usage insights for manufacturing operations. This eliminated stockouts and ensured continuity in critical component availability. - Motivated by quality and automation, I implemented Statistical Process Control (SPC) using Python and SQL to aggregate and analyze raw production data across multiple assembly stations. This work formed the foundation for my GitHub project, “Evaluating a Manufacturing Process using SQL & Python,” where I structured data pipelines and applied SPC metrics to monitor operator performance and detect process variation. - To improve automated inspection capabilities, I conducted exploratory data analysis (EDA) in Python on output from the Keyence Automated Inspection System. My analysis guided the optimization of inspection parameters and tuning of program logic, resulting in a 15% increase in defect detection accuracy and 20% throughput improvement through AI-assisted visual inspection. - To build technical fluency, I earned the IBM Data Analyst certification, developing practical skills in Python, SQL, Power BI, and Jupyter Notebooks for interactive computing and data visualization. Complementing this, I applied Six Sigma Yellow Belt methodologies to identify variability and process inefficiencies, reducing reject rates by 5% through targeted improvements. 🏆 Recognitions: Multiple Abbott Excellence Awards for innovation, data-driven problem solving, and lab automation.

My Education

Take a look at my formal education

B.Sc. in Electrical Engineering in RF, Microwaves & Wireless CommunicationsHolon Institute of Technology | 2010

About Me

Ilya A Mukhatov

Data-driven problem solver with 5+ years in healthcare analytics. Expertise in Python, SQL, Power BI, and process automation. Optimized lab ops, inventory, and SPC using data. IBM Data Analyst & Six Sigma certified. Passionate about BI, automation ..

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