Hire the Best Data Cleaning Professionals
in France

I provide fast, accurate, and reliable data entry and Microsoft Office services. My expertise includes Excel, Word, PowerPoint, data cleaning and formatting, web research, and file conversion (PDF to Excel/Word). I pay close attention to detail, ensure 100% accuracy, and always deliver on time. I am committed to clear communication and high-quality results, making sure your data is organized, professional, and ready to use.

If your Email campaigns are not reaching the Inbox, landing in spam, or facing low results, your DNS and Email Infrastructure needs a proper Fix. I help businesses improve Email Deliverability, Inbox Placement, and Campaign performance by setting up and correcting DNS, SPF, DKIM, DMARC, MX across Google, Microsoft, Zoho, GoDaddy, Cloudflare, Namecheap and outreach platforms like Instantly.ai. With hands-on experience in Email Marketing, Outreach Campaigns, and Deliverability Fixes, I make sure your emails reach the Inbox - not spam. 🔧 Core Services: ✅ Email Deliverability & Inbox Placement Fix (Google & Microsoft) ✅ DNS Setup & Fix (A, MX, TXT, CNAME records) ✅ SPF, DKIM, DMARC Configuration & Repair ✅ Fix Spam, Bounce, Blacklist & Reputation Issues ✅ Email Infrastructure Setup for Marketing & Outreach ✅ Cold Email Setup (Instantly.ai) with domains & tracking ✅ Campaign Setup & Optimization for better results ✅ Domain & DNS Management (GoDaddy, Cloudflare, Namecheap, Zoho) ✅ Fix MX issues, sending errors, authentication problems 🚀 Platforms & Tools: ⚡ Instantly.ai ⚡ SmartLead ⚡ Lemlist ⚡ Apollo ⚡ Google Workspace (Gmail) ⚡ Microsoft 365 (Outlook) ⚡ Zoho Mail ⚡ Porkbun ⚡ SendGrid ⚡ GoHighLevel ⚡ Klaviyo ⚡ Email Campaign & Outreach Tools 🔧 Domains & DNS Platforms: 🌐 GoDaddy 🌐 Cloudflare 🌐 Namecheap 🌐 Hostinger 🌐 Bluehost 🌐 Porkbun 🌐 Zoho 🌐 Other DNS providers 📈 What You Can Expect: • Emails delivered to Inbox instead of Spam • Proper DNS, SPF, DKIM, DMARC, MX setup • Strong Email Deliverability for Google & Microsoft • Stable Email Infrastructure for Marketing & Outreach • Better performance from Email Campaigns 💡 Work Approach: I focus on root-cause Fixes in DNS and Email systems so your Deliverability and Inbox Placement stay consistent long-term, not temporary fixes. 📩 Message me now to Fix your Email Deliverability, DNS, and Campaign Infrastructure and get your emails back into the Inbox. Best Regards, 𝙏𝙊𝙃𝙀𝙀𝘿 𝙇𝙄𝘼𝙌𝘼𝙏

What most data scientists lack is business context. What I bring: 13 years of senior operations management at CMA CGM (one of the world's largest shipping companies), combined with hands-on machine learning expertise in Python, XGBoost, and FastAPI. I've managed fleet deployment for 600+ vessels and coordinated complex global operations where decisions carried multi-million dollar consequences. That operational mindset now shapes how I approach data science: I don't just build models, I build models that answer the right business questions. My probabilistic thinking was further sharpened by years as a professional poker player, a discipline built entirely on statistical reasoning and high-stakes decision-making under uncertainty. Recent projects: - S&P 500 Volatility Forecasting: XGBoost model with engineered volatility indicators and SHAP-based interpretability to predict market regime shifts. Deployed as a REST API via FastAPI. - Olist E-Commerce ML Analysis: Logistic regression with cost-optimized classification threshold and SHAP feature attribution to identify key drivers of customer satisfaction and operational efficiency. What I can help you with: ✔ Machine learning model development (XGBoost, Scikit-learn, classification, regression) ✔ Time series forecasting and financial data modeling ✔ Model explainability and interpretability (SHAP / Explainable AI) ✔ ML model deployment via API (FastAPI) ✔ Operational data analysis and process optimization ✔ Data cleaning, feature engineering, and EDA If you need a data scientist who understands both the numbers and the business behind them, let's talk.

🔹 Detail-Oriented Data Entry & Research Specialist | Virtual Assistant With 3 years of experience on Upwork, I have successfully completed projects in data entry, web research, compliance analysis, and virtual assistance across various industries, including life sciences, e-commerce, and marketing agencies. I specialize in: - Data Entry & Management – Database maintenance, data cleaning & formatting - Web Research & Lead Generation – Contact database creation, online research, competitor analysis - Virtual Assistance & Admin Support – Scheduling, email & calendar management, invoicing, bookkeeping Key Projects I’ve Worked On: 📌 Data Entry for Veeva Systems – Web research, database updates for life sciences industry 📌 Compliance Analyst (Integrishield) – Identifying marketing violations, working with call center data in Excel 📌 Amazon.de Sellers Project – Contact database creation for 100+ Amazon sellers 📌 Virtual Assistant for Marketing Agency – Client outreach, interview scheduling, financial tracking, content creation 📌 Data Migration from PDF to Excel – Extracting & formatting financial data from bank statements 🛠 Skills & Tools: - Data Entry & Research: Microsoft Excel, Google Sheets, PDF to Excel, Accuracy Verification - Admin & VA Support: Email management, scheduling, bookkeeping - Marketing & Social Media: Canva, Facebook Ads, Influencer Outreach, Lead Generation - Compliance & Reporting: Microsoft Word, Report Writing, Data Formatting/Cleaning Looking for accurate, reliable, and efficient data entry, research, or admin support? Let’s connect!

I build production data infrastructure for small to medium-sized businesses — cloud warehouses, dbt modeling, reliable ingestion pipelines, and reporting systems they can actually run their business on. I've worked with performance marketing agencies, DTC e-commerce brands, Shopify agencies, real estate lead-gen companies, SaaS startups, B2B service businesses, media and creator-led agencies, professional services firms, and subscription-based businesses — supporting 7-figure ad budgets, multi-channel attribution setups, financial and operational reporting, and environments where executives make real revenue decisions on the numbers. Accuracy isn't optional in any of those contexts, and that's the bar I build to. Most of the teams I work with come to me after struggling with conflicting KPIs across platforms, fragile "Frankenstein" automations, manual reporting bottlenecks, and dashboards they can't fully trust. What they leave with is a clean, scalable data foundation built for long-term growth — not just another dashboard. Beyond technical depth, I'm a clear communicator with both engineers and non-technical founders. I'll explain why your numbers don't reconcile across platforms in language your CEO understands — and I'll fix it. Services I Offer: → Data Warehouse Architecture: Designing and building production data warehouses on BigQuery, Snowflake, or Postgres — schema modeling, dbt projects, and the foundations that make every dashboard downstream trustworthy. → ETL & Data Pipelines: Replacing fragile Supermetrics/Zapier sprawl with reliable, auto-refreshing ingestion via Airbyte, Fivetran, or custom Python pipelines. Marketing, CRM, revenue, and ops data — unified in one place. → Analytics & Reporting Systems: Building multi-page Looker Studio, Power BI, or Metabase dashboards that read from a modeled warehouse, not raw API pulls — fast, accurate, and reconciled across every report. → AI Systems & LLM Integration: Building production-grade AI systems on top of your data — lead scoring and qualification engines, automated classification and enrichment, AI agents that read from your warehouse and act on it, and Claude/OpenAI-powered workflows that write results back to your CRM, Slack, or reporting layer. → Business Automation & Workflow Engineering: n8n and Make automations that handle data syncing, lead routing, enrichment, internal notifications, and operational workflows — reliably, with monitoring and alerting built in from day one. My core stack and expertise: → Programming Languages: Python (Pandas, Polars, PySpark), SQL, Bash → Data Modeling & Transformation: dbt, SQL, Python — clean staging → intermediate → mart architecture with tests and documentation → Cloud & Warehousing: BigQuery, Snowflake, PostgreSQL, DuckDB, S3 + Delta Lake → Data Ingestion / ETL: Airbyte, Fivetran, Meltano, custom Python connectors → Orchestration: Airflow, Dagster, Mage, Cloud Functions, GitHub Actions → Analytics & Tracking: GA4, Mixpanel, event-based analytics, server-side tracking → Visualization & BI: Looker Studio, Power BI, Metabase, Superset, Tableau → Automation & AI: Make, n8n, Claude API, OpenAI API, LLM-powered workflows → DevOps: GitHub Actions, Docker, Terraform, CI/CD pipelines

I sit at a crossroads that combines professional sound engineering, formal musicology training, and systems-level data organization. That combination is what makes me useful to music tech companies, AI audio teams, and labels dealing with catalog chaos. I cover the full chain — hearing whether an AI voice is natural, understanding why a metadata field matters, and building the pipeline to keep it organized automatically — without handoffs. AI Audio & Music Evaluation Perceptual assessment of voice, music, and generative audio: naturalness, emotional accuracy, rhythmic precision. I produce structured, reproducible evaluation rubrics, not vague impressions. Formal musicology training plus sound engineering background means ears that are both analytically trained and technically calibrated. Native trilingual evaluator: Arabic · French · English. Metadata & Catalog Management I design classification systems, write indexing rules, and enforce them with the same rigor I applied as a digitization archivist under pharmaceutical quality control protocols. Familiar with ISRC, UPC, and DDEX logic. I build the taxonomy before touching a single file. Market & Artist Intelligence I track competitor activity, chart movements, and industry trends using Viberate, Soundcharts, and Chartmetric. I design monitoring systems that surface what matters daily, automatically. Workflow Automation & Data Make, Zapier, Notion, Airtable, Google Workspace for pipeline automation. Advanced Excel and Google Sheets. Working knowledge of SQL and Python, actively applied to data cleaning, querying, and reporting workflows. Notion as a relational database with full metadata architecture. Most music metadata freelancers are either technical without the ear, or musical without the systems thinking. I hold two separate bachelor's degrees — Sound Engineering and Musicology — because that's genuinely how I think: structure and art, always simultaneously. Core Skills AI Audio Evaluation · RLHF Feedback · Music Metadata · Catalog Auditing · ISRC / UPC / DDEX · Make · Zapier · Notion · Airtable · SQL · Python · Excel · Viberate · Soundcharts · Chartmetric · Arabic · French · English