Hire the Best Data Analysts in Istanbul, TR

Looking for accurate financial reports, organized data, and meaningful business insights? I help businesses organize, analyze, and interpret financial and business data using Microsoft Excel and Python to deliver accurate reports, meaningful insights, and data-driven decision support. With more than 20 years of professional experience in accounting, budgeting, cost control, and financial reporting, I combine strong financial expertise with analytical thinking to solve business problems through data analysis, financial reporting, and practical business insights. Throughout my career, I have analyzed complex financial data, prepared management reports, monitored budgets, evaluated costs, and supported executive decision-making through reliable financial reporting. My portfolio includes professionally documented projects published on GitHub and Upwork, demonstrating interactive Excel dashboards, KPI reporting, financial analysis, and business intelligence using realistic business scenarios. My services include: ✔ Financial Data Analysis ✔ Microsoft Excel Dashboards ✔ Python Data Analysis (Pandas) ✔ Financial Reporting ✔ Data Cleaning & Organization ✔ Budget Analysis ✔ Cost Analysis ✔ Data Visualization Alongside my professional experience, I am completing my Bachelor's degree in Computer Science, where I continue to strengthen my skills in Python, Pandas, SQL, and data analytics through practical portfolio projects. I am committed to accuracy, clear communication, and delivering work that clients can trust. If you need reliable support for financial data analysis, reporting, or Excel-based solutions, I'd be happy to help. I look forward to discussing how I can support your project.

I help businesses clean, structure, analyze, and visualize their data using Excel, Power BI, SQL, and modern analytics tools. My background combines engineering problem-solving with hands-on data analytics training. I have 4+ years of professional experience in technical systems, troubleshooting, process optimization, and working with structured information in industrial environments. I am currently specializing in data analytics through a hands-on program covering SQL, BigQuery, DBT, ELT workflows, Looker Studio, Power BI, DAX, Python, Pandas, and machine learning fundamentals. I can help with: - Excel data cleaning and formatting - Data mapping and category standardization - Spreadsheet structuring - Power BI dashboards and KPI reports - Looker Studio reports - SQL queries and business analysis - CSV / Excel transformation - Dashboard-ready dataset preparation - Data validation and quality checks My strength is turning messy or unstructured data into a clean, usable format for reporting, analysis, or business decision-making. I focus on clear communication, organized deliverables, and practical solutions that are easy for clients to maintain after delivery.

I’m a Python & SQL Data Analyst with hands-on experience building automation workflows, ETL pipelines, dashboards, and machine learning models. I focus on turning raw, messy data into clean, actionable insights that help businesses make faster and better decisions. I hold the IBM Data Science Professional Certificate and completed the 200+ hour MIUUL Data Science Bootcamp, where I worked end-to-end on real projects involving data cleaning, EDA, feature engineering, modeling, and reporting. I’ve delivered practical solutions such as CRM analytics (RFM, CLTV prediction, churn analysis), e-commerce and food industry data analysis, recommendation logic, and business intelligence dashboards (Power BI, Python/Plotly). What I can help you with: • Python data scripts, automation & ETL • SQL queries, reporting & database cleanup • Data cleaning, preprocessing & transformation • Dashboards (Power BI / Plotly) • Machine learning models (prediction, classification) • A/B testing, customer insights, KPI tracking I’m detail-oriented, fast to adapt, and focused on delivering clean, reliable results. Happy to help with both small tasks and end-to-end analytics projects.

I'm a tech & growth-oriented data professional with over 7 years of experience across the entire data lifecycle (ETL, ELT, LTL). I specialize in developing efficient data flows and effective data delivery systems to drive business value. Services Offered: ✅ Database Migration & Metadata Upgrading – Expert migration services for PostgreSQL, MySQL, NoSQL databases and more. ✅ Data Warehouse Architecture – Custom-designed, scalable data warehouse solutions tailored to your specific business requirements. ✅ ETL/ELT Development – Robust data pipeline implementation using Python, DBT, and Apache Spark. ✅ Experienced Databricks and MotherDuck solutions. ✅ Data Pipeline Architecture & Deployment – Streamlined or Batch workflow automation with Apache Airflow and Kubernetes. ✅ Application/Service Containerization – Seamless deployment and management using Docker and Kubernetes. ✅ Open Source System Management – Enterprise-level implementation of Apache Airflow, Spark, Trino, Flink, Kafka, Superset, Druid,ELK(Elasticsearch, Kibana, Logstash), Hadoop, Hdfs and Cassandra. ✅ Streaming Pipelines – High-performance data streaming solutions utilizing Kafka, Redis, Cassandra, MongoDB, and Flink with Java/Scala development. ✅ API Development – Production-ready Python APIs using FastAPI, Django, Flask, and distributed asynchronous services. ✅ Working capability any where on Cloud(AWS,GCP,Azure) or Special on-premises environment. ✅ Designing CI/CD solution's development environments. Terraform, Helm, Github Workflow, Gitlab-CI's. ✅ Implemented logging monitoring environments Grafana, Prometehus, Elasticsearch, Kibana, Logstash. Let's discuss how I can optimize your data infrastructure and unlock valuable insights for your business. Contact me today to start the conversation!

Struggling to find viral music trends before everyone else or tired of manual playlist scraping or fake bot-heavy promotion services risking your track releases? I use direct Spotify API access and Python automation to extract verified A&R streaming data and metadata safely today! As a dedicated Music Data Scientist with a PhD and over 6 years of experience engineering data solutions on Upwork, I bridge the gap between technical backend code and commercial music marketing strategy. I have completed 100+ projects for independent labels, tech startups, and artist managers by providing the precise data infrastructure needed to scale audience development, optimize release planning, and execute organic Spotify music promotion with 100% anti-bot platform safety. What I Do & How I Help You Grow: I have been working with the Spotify API for years and maintain developer-level access to it. Instead of manually guessing or relying on risky third-party promotion shortcuts, I build custom web scraping pipelines to gather clean, verified data points related to songs and tracks across streaming platforms. Whether you need monthly listener tracking, play counts, hidden song credits, or real-time audience engagement data, I deliver actionable music analytics to protect your catalog and optimize your campaign. If you are looking for specific signals like these, we must collaborate if: ● You are after "DK (Distrokid)" or "independent" labeled releases or same-named "artist name" ="record label name" signals. ● You check New Music Friday and its songs' credits every single week. ● You search for recently released tracks that doubled in streams on Spotify or TikTok overnight. ● You spin the Distrokid Wheel of Playlists and want to track or recreate the backend data engine behind it. ● You need to find hidden or unclickable tracks that once existed on Spotify but are currently gone. ● You track music history through Glenn McDonald’s old beloved data maps like Sound of Cities, Streets, Countries, and Schools. ● You need bulk data extraction for the Viral 50, Billboard Hot 100, Spotify Local Pulse City Charts, and Shazam Viral Charts. Domains I Work In: Artist discovery & A&R music analytics New music releases & digital marketing strategy Independent labels, DistroKid distribution, & ISRC metadata tracking Music credits verification (songwriters, producers, publishers) Spotify, Apple Music, SoundCloud, Shazam, YouTube Data API, Chartmetric, Viberate Playlists placement strategy & algorithmic behavior optimization ASCAP, BMI, MLC catalog tracking Music catalogs, publishing rights, & royalties data extraction Streaming trends, TikTok signals, & genre classification

I am a detail-oriented Business Intelligence Analyst with over four years of experience designing and deploying interactive dashboards and data solutions using Power BI, Tableau, SQL, and Python. Previously, I worked as a BI Analyst and Data Analyst, supporting sales, marketing, finance, and product teams by: • Designing executive-level dashboards • Optimizing DAX calculations and Power BI data models • Building centralized reporting systems • Translating complex datasets into actionable insights • SQL (MS SQL Server, MySQL) • Tableau dashboards Certifications: • Microsoft Certified: Power BI Data Analyst (PL-300) • Microsoft Fabric Analytics Engineer (DP-600) • Google Data Analytics Professional Certificate • IBM Data Analyst Professional Certificate