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Excel automation built on real engineering, that's the difference. I'm an energy analyst and Excel specialist with 9 years of power plant operations, PVsyst and RETScreen expertise, and a published research background in energy and sustainability. Most Excel specialists learn the tool. I used it to run a 62 MW power plant. For six years as a Performance & Efficiency Engineer at a biomass cogeneration facility, Excel wasn't a reporting tool, it was the operational backbone of daily performance monitoring, KPI tracking, fuel management, and plant reliability analysis. I built the systems, ran the numbers, and made engineering decisions based on them. That background is what I bring to every project. I now work exclusively as a remote analyst, combining advanced Excel automation with energy domain expertise that most data freelancers simply don't have. 📊 Excel Automation & Data Analytics: This is where most of my client work lives, building tools that run themselves, dashboards that don't need a manual, and data systems that give decision-makers what they actually need. Excel Automation & VBA: Automated reporting pipelines, dynamic tools, error-proofed workflows built for daily operational use. Power BI Dashboards: Engineering KPIs, operational performance tracking, ESG and sustainability reporting. Power Query & Data Modeling: Structured, clean data architecture that makes every downstream analysis faster. Python (pandas) & SQL: Data cleaning, ETL pipelines, large dataset processing and reporting automation. ESG & Social Value Analytics: Built a Social Value Calculator and reporting framework covering 3,000+ outcome datasets for a UK-based social value consultancy. ⚡Renewable Energy Modeling & Feasibility: I produce energy models that hold up when a developer, lender, or investor looks at them closely, because I've worked inside the systems I now model. Solar energy yield assessment using PVsyst: System design, P50/P90 generation estimates, shading analysis, bankability-ready outputs Energy feasibility studies using RETScreen: Cost sensitivity analysis, GHG quantification, IRR and payback modeling for renewable and efficiency projects Heating and cooling load calculations to ASHRAE standards: accurate peak load sizing for energy-efficient system design Power plant performance analysis: Combined Cycle, Open Cycle, and Rankine Cycle configurations using structured data models Energy efficiency project analysis: Savings quantification, investment justification, operational benchmarking. I'm currently expanding into full techno-economic and project financial modeling, LCOE, project IRR, and DSCR analysis for renewable energy investments, as a natural extension of the feasibility work I already deliver. 📋 Credentials: MS, Thermal Power Engineering, UET Lahore (Grade A) BSc, Mechanical Engineering, UET Lahore (Grade A) Published Research: Arabian Journal of Science and Engineering, Experimental Investigation of RO-EDI for Ultrapure Water Production as an Alternative to RO-IX Method 🔧 Tools: Microsoft Excel · VBA · Power BI · Power Query · Python · pandas · SQL · PVsyst · RETScreen · eQuest · ASHRAE Load Calculations If your project needs Excel, built by someone who understands the engineering behind the data, or energy analysis grounded in real plant experience, send me a brief description of what you need. I'll give you a straight answer on whether it's a fit.

𝗗𝗔𝗧𝗔 𝗔𝗡𝗔𝗟𝗬𝗧𝗜𝗖𝗦, 𝗗𝗔𝗧𝗔 𝗩𝗜𝗦𝗨𝗔𝗟𝗜𝗭𝗔𝗧𝗜𝗢𝗡, 𝗕𝗨𝗦𝗜𝗡𝗘𝗦𝗦 𝗜𝗡𝗧𝗘𝗟𝗟𝗜𝗚𝗘𝗡𝗖𝗘 𝗔𝗡𝗗 𝗠𝗢𝗗𝗘𝗥𝗡 𝗗𝗔𝗧𝗔 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥𝗜𝗡𝗚 𝗦𝗢𝗟𝗨𝗧𝗜𝗢𝗡𝗦 𝗧𝗛𝗔𝗧 𝗧𝗨𝗥𝗡 𝗖𝗢𝗠𝗣𝗟𝗘𝗫 𝗔𝗡𝗗 𝗥𝗔𝗪 𝗗𝗔𝗧𝗔 𝗜𝗡𝗧𝗢 𝗦𝗖𝗔𝗟𝗔𝗕𝗟𝗘, 𝗘𝗫𝗘𝗖𝗨𝗧𝗜𝗩𝗘 𝗥𝗘𝗔𝗗𝗬 𝗕𝗨𝗦𝗜𝗡𝗘𝗦𝗦 𝗜𝗡𝗦𝗜𝗚𝗛𝗧𝗦, 𝗕𝗔𝗖𝗞𝗘𝗗 𝗕𝗬 𝟮𝟰+ 𝗬𝗘𝗔𝗥𝗦 𝗢𝗙 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗬 𝗟𝗘𝗔𝗗𝗘𝗥𝗦𝗛𝗜𝗣 𝗔𝗡𝗗 𝗙𝗢𝗥𝗧𝗨𝗡𝗘 𝟱𝟬𝟬 𝗘𝗫𝗣𝗘𝗥𝗜𝗘𝗡𝗖𝗘 With 𝟮𝟰+ years of industry experience, I’m Mehmood Ahmad, a senior data and technology leader and hands on expert specializing in 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, and 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀. I combine deep technical expertise with business context to help organizations design scalable analytics systems, see clearly, decide faster, and act confidently. I’ve worked globally with some of the world’s largest organizations, including 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟱𝟬𝟬 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀, delivering analytics solutions. 𝗖𝗢𝗠𝗣𝗔𝗡𝗬 𝗕𝗔𝗖𝗞𝗚𝗥𝗢𝗨𝗡𝗗 I currently serve as 𝗖𝗘𝗢 at 𝗕𝗜𝗧𝗟𝗢𝗚𝗜𝗫, a technology company delivering enterprise-grade solutions for over 𝟭𝟳 𝘆𝗲𝗮𝗿𝘀. Our teams design, build, and scale data-driven systems that support real business growth basically not just reports, but decision platforms. 𝗢𝗨𝗥 𝗖𝗢𝗥𝗘 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 𝗜𝗡𝗖𝗟𝗨𝗗𝗘 🔹 MVP Development 🔹 AI / ML & RPA 🔹 Data Engineering 🔹 BI & Analytics 🔹 Cloud Engineering 🔹 Microsoft Power Platform 🔹 Team Augmentation 🔹 UI/UX Design 🔹 QA & Testing 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗜𝗻𝗰𝗹𝘂𝗱𝗲 🎯 𝘿𝙖𝙨𝙝𝙗𝙤𝙖𝙧𝙙 & 𝙍𝙚𝙥𝙤𝙧𝙩 𝘿𝙚𝙫𝙚𝙡𝙤𝙥𝙢𝙚𝙣𝙩: Role-based, executive-ready dashboards with drill-downs and real-time insights 🎯 𝘿𝙖𝙩𝙖 𝙑𝙞𝙨𝙪𝙖𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣: Clean, contextual visuals designed for clarity, accuracy, and action 🎯 𝙆𝙋𝙄 & 𝙈𝙚𝙩𝙧𝙞𝙘 𝘿𝙚𝙨𝙞𝙜𝙣: SMART, business-aligned KPIs with thresholds and alert logic 🎯 𝙎𝙚𝙡𝙛-𝙎𝙚𝙧𝙫𝙞𝙘𝙚 𝘽𝙄 𝙀𝙣𝙖𝙗𝙡𝙚𝙢𝙚𝙣𝙩: Secure, governed analytics for non-technical users 🎯 𝘼𝙣𝙤𝙢𝙖𝙡𝙮 𝘿𝙚𝙩𝙚𝙘𝙩𝙞𝙤𝙣: Early signals for risks, inefficiencies, and opportunities 🎯 𝘿𝙖𝙩𝙖 𝙋𝙞𝙥𝙚𝙡𝙞𝙣𝙚 𝘿𝙚𝙫𝙚𝙡𝙤𝙥𝙢𝙚𝙣𝙩: Design and implementation of scalable pipelines for batch and real-time data processing 🎯 𝙀𝙏𝙇 / 𝙀𝙇𝙏 𝙋𝙧𝙤𝙘𝙚𝙨𝙨 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙞𝙤𝙣: Automated, reliable data workflows that improve accuracy and reduce latency 🎯 𝘾𝙡𝙤𝙪𝙙 𝘿𝙖𝙩𝙖 𝙒𝙖𝙧𝙚𝙝𝙤𝙪𝙨𝙞𝙣𝙜: Analytics-ready data models built for performance and scale 🎯 𝙍𝙚𝙖𝙡 𝙏𝙞𝙢𝙚 & 𝘼𝙙𝙫𝙖𝙣𝙘𝙚𝙙 𝘼𝙣𝙖𝙡𝙮𝙩𝙞𝙘𝙨: Predictive insights, trend detection, and data-driven decision support 🎯 𝘿𝙖𝙩𝙖 𝙌𝙪𝙖𝙡𝙞𝙩𝙮 & 𝙂𝙤𝙫𝙚𝙧𝙣𝙖𝙣𝙘𝙚: Clean, consistent, and trustworthy data across the analytics lifecycle 🎯 𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝘼𝙣𝙖𝙡𝙮𝙨𝙞𝙨 & 𝙄𝙣𝙨𝙞𝙜𝙝𝙩 𝘿𝙚𝙡𝙞𝙫𝙚𝙧𝙮: Translating business requirements into measurable analytics outcomes 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗮𝗰𝗸 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗕𝗜 & 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 💡 SQL & Data Modeling 💡 Python & R 💡 ETL / ELT Pipelines 💡 Machine Learning & Advanced Analytics 💡 Cloud Analytics Platforms 💡 Microsoft Power BI 💡 Microsoft Excel 💡 SQL / SQL Server (Integration & Reporting) 💡 DAX & Power Query 💡 Azure Data Sources & APIs 💡 Snowflake & Databricks (Cloud Analytics Platforms) 𝗗𝗘𝗟𝗜𝗩𝗘𝗥𝗜𝗡𝗚 𝗦𝗢𝗟𝗨𝗧𝗜𝗢𝗡𝗦 𝗧𝗢 𝗕𝗜𝗚 𝗘𝗡𝗧𝗘𝗥𝗣𝗥𝗜𝗦𝗘 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗧𝗛𝗥𝗢𝗨𝗚𝗛 𝗥𝗘𝗧𝗔𝗜𝗟 𝗜𝗡𝗦𝗜𝗚𝗛𝗧 ✅ Walmart ✅ ASDA ✅ BRC ✅ Mondelez ✅ Woolworths Group 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗨𝘀 📊 𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝘿𝙧𝙞𝙫𝙚𝙣 𝘼𝙣𝙖𝙡𝙮𝙩𝙞𝙘𝙨 𝘼𝙧𝙘𝙝𝙞𝙩𝙚𝙘𝙩𝙪𝙧𝙚: Analytics and BI systems designed around real business questions and decision workflows 📊 𝘿𝙚𝙘𝙞𝙨𝙞𝙤𝙣 𝘿𝙧𝙞𝙫𝙚𝙣 𝘽𝙄 & 𝘿𝙖𝙨𝙝𝙗𝙤𝙖𝙧𝙙𝙨: Executive focused dashboards with clear context and actionable insights 📌 𝙎𝙘𝙖𝙡𝙖𝙗𝙡𝙚 & 𝙁𝙪𝙩𝙪𝙧𝙚 𝙍𝙚𝙖𝙙𝙮 𝘿𝙖𝙩𝙖 𝙋𝙡𝙖𝙩𝙛𝙤𝙧𝙢𝙨: Data pipelines, warehouses, and analytics models built for performance and growth 📌 𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝘼𝙡𝙞𝙜𝙣𝙚𝙙 𝙆𝙋𝙄𝙨 & 𝙈𝙚𝙩𝙧𝙞𝙘𝙨: Structured KPI frameworks connected to measurable business outcomes 🧠 𝙄𝙣𝙨𝙞𝙜𝙝𝙩 𝙁𝙤𝙘𝙪𝙨𝙚𝙙 𝘿𝙖𝙩𝙖 𝙑𝙞𝙨𝙪𝙖𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣: Clean, structured visual storytelling for faster interpretation of complex data 𝗜𝗳 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝘄𝗵𝗼 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝘀 𝗯𝗼𝘁𝗵 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆, 𝗹𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁. #MicrosoftPowerBI #DataVisualization #MicrosoftExcel #R #DataAnalysis #BusinessIntelligence #Dashboard #DAX #SQL #Python #LookerStudio #Tableau #MicrosoftAzure #APIIntegration #MicrosoftSharePoint #SQLServer #MySQL #DataAnalysis #Analytics #PowerBI #GoogleSheets

With my background in quality assurance and library science, I translate expert knowledge into accurate, accessible articles, case studies, and white papers for training. These capabilities translate to technical content with integrity. The result: Marketing leaders demonstrate transparency to their customers and teach them how to use their products and services most effectively.

Hi, I'm a data scientist specializing in product analytics, finance modeling, and analytics infrastructure for high-growth startups. What I bring: 📊 Product & SaaS Analytics: Retention and churn analysis, LTV/CAC modeling, A/B testing frameworks, feature adoption, and cohort/user level profitability, built to inform real product and growth decisions. 💰 Finance & Unit Economics: Revenue reconciliation, cost modeling, payback period analysis, and SaaS metrics (MRR, ARR, churn) grounded in accounting fundamentals. 🧮 Statistical & Probabilistic Modeling: A/B testing, cohort analysis, LTV, econometrics, and forecasting, applied to real business problems, not just academic exercises. 🏗️ Modern Data Stack: End-to-end analytics engineering using Snowflake, dbt, Airflow, and BI tools (Omni, Metabase, Power BI). I've built data infrastructure from scratch and established modeling best practices at the founding stage. 🛠️ Automation & Low-Code: Retool, Zapier, and App Script workflows that eliminate manual reporting overhead and streamline operations. I've worked across B2B and B2C startups (YC-backed). If you need someone who can own the full analytics loop, from raw data to business decision, I'd love to work together.

I help businesses turn complex data into actionable insights, predictive models, and AI-powered solutions that improve decision-making and automate processes. I am a Data Scientist with 5+ years of experience in 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, 𝗮𝗻𝗱 𝗠𝗟𝗢𝗽𝘀. I specialize in building complete AI solutions, from data preparation and feature engineering to model development, deployment, monitoring, and business reporting. My experience covers industries including 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗿𝗲𝘁𝗮𝗶𝗹, 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗺𝗲𝗱𝗶𝗮 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲, helping organizations solve problems related to forecasting, customer retention, automation, risk analysis, and operational efficiency. 𝑺𝑬𝑹𝑽𝑰𝑪𝑬𝑺 𝑰 𝑷𝑹𝑶𝑽𝑰𝑫𝑬: → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 Build and deploy ML models for demand forecasting, customer churn prediction, pricing optimization, fraud detection, classification, and regression problems. → 𝗔𝗜 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Develop AI applications using OpenAI, GPT models, LangChain, and Retrieval-Augmented Generation (RAG) systems for automation, knowledge assistants, and intelligent workflows. → 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 Perform data analysis, data cleaning, exploratory data analysis (EDA), statistical analysis, feature engineering, and data modeling to uncover valuable business insights. → 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗠𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 Create scalable machine learning workflows from data ingestion and processing to production deployment using Azure Machine Learning, Google Vertex AI, and Databricks. → 𝗠𝗟𝗢𝗽𝘀 & 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 Deploy, monitor, and optimize machine learning models with reliable production workflows and performance tracking. → 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 & 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Create interactive dashboards and reports using Power BI, Tableau, and Metabase to help teams track KPIs and make data-driven decisions. 𝑩𝑼𝑺𝑰𝑵𝑬𝑺𝑺 𝑰𝑴𝑷𝑨𝑪𝑻 𝑫𝑬𝑳𝑰𝑽𝑬𝑹𝑬𝑫: • Developed a pricing optimization model that identified inaccurate listings and prevented $10,000+ in potential losses • Built a customer churn prediction model that improved retention strategies and increased customer retention by 15% • Created an audit prediction model achieving 82% accuracy, reducing manual review efforts • Developed forecasting models reaching 90% accuracy for sales and inventory planning • Automated Databricks ETL pipelines, reducing data processing time by 8% • Analyzed 800K+ data records to identify operational improvements and close a 25% performance gap 𝑻𝑬𝑪𝑯𝑵𝑰𝑪𝑨𝑳 𝑺𝑲𝑰𝑳𝑳𝑺 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮: Python, SQL, Pandas, NumPy, Data Cleaning, Data Analysis, Statistics, EDA 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗔𝗜: Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Neural Networks, Deep Learning, NLP, Computer Vision 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: OpenAI API, GPT Models, LangChain, RAG Applications, AI Agents, LLM Automation 𝗖𝗹𝗼𝘂𝗱 & 𝗠𝗟𝗢𝗽𝘀: Azure ML, Google Vertex AI, Databricks, Model Deployment, ML Pipelines, Monitoring 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: Power BI, Tableau, Metabase, KPI Dashboards, Data Visualization I hold an MSc in Artificial Intelligence from Kings College London (Distinction, Best Overall MSc Student) and a Computer Software Engineering degree (Gold Medalist, 3.99/4.00 GPA). I do not just build machine learning models. I build AI systems that solve real business problems, generate measurable outcomes, and move from prototype to production. If you need a Data Scientist, Machine Learning Engineer, or AI specialist who can handle the complete lifecycle of a data project, 𝗹𝗲𝘁 𝘂𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹𝘀. 𝗦𝗲𝗲 𝘆𝗼𝘂 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗻𝗯𝗼𝘅!

I build full data and ML systems that help companies make faster and more accurate decisions. Forecasting models, ETL pipelines, automated reporting and dashboards, and production-ready analytics tools. Commercial experience delivering end-to-end solutions for various companies. I specialize in end-to-end data and ML workflows: forecasting engines, tabular ML models, automated ETL pipelines, and reporting tools that solve real business problems. I focus on clean, reliable, production-ready solutions — not academic prototypes. Core Skills • Python (Pandas, NumPy, Scikit-learn, TensorFlow) • SQL, Snowflake • Power BI, automated reporting • APIs, Git Specialties • Time-series forecasting & predictive modeling • Custom ETL automation (Python + SQL) • Classification models for business decisioning • KPI dashboards & analytics systems Experience & Delivered Work • Connectis – Supporting a large-scale financial compliance project for a major Polish bank in the area of KYC/AML. Responsible for data analysis, system verification, and ensuring process integrity within banking systems. • One of the largest Crypto Wallet – Data Analyst ETL pipelines (Python + Oracle), forecasting engines, Power BI dashboards, and high-volume transaction analytics. • Aesthora – Designed and built a full-face analysis system using ML to detect facial symmetry, ratios, and proportions. Reduced image analysis time by 50% and minimized human input to final audits, boosting efficiency and consistency. Education • Bachelor’s in Computer Science • TensorFlow Developer Certificate • Microsoft PL-300 • Google Data Analytics Professional Certificate I work fast, communicate clearly, and deliver solutions that actually run in production. If you need someone who can take a data/ML problem from idea to working system — I can help.