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I build AI-powered dashboards, data applications, and automated reporting solutions using Power BI and Python. By combining business intelligence with modern AI tools such as ChatGPT, Claude, and LLM APIs, I help businesses transform raw data into actionable insights, automate repetitive workflows, and make faster decisions.

Machine Learning Engineer. I've been building ML and AI systems in Python for six years, from search ranking and recommendation models to LLM applications running in production today. I worked on Upwork's own internal ML team and at Alibaba/Daraz, on machine learning algorithms serving millions of users. These days, most of my recent work is in the FINANCE TECH and LEGAL TECH: Financial Intelligence & Analytics, Credit Intelligence, SEC Filings Automation, financial data extraction, and legal/IP platforms. In my pipelines, code does the extraction and validation; the LLM only writes on top of verified data. 🏆 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 ⏰ 𝟳𝟬𝟬𝟬+ 𝐇𝐨𝐮𝐫𝐬 | 𝟒𝟐 𝐉𝐨𝐛𝐬 | $𝟒𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐞𝐝 WHAT I BUILD: ============ ✅SEC Filings Pipeline: I built a system for a finance research firm that downloads new filings from SEC EDGAR every day, parses ABS and BDC filings, validates the extracted data, and stores it in PostgreSQL. Dashboards update automatically, and the LLM generates client reports from the verified data. It has been running in production for over two years. ✅Trust Filings OCR Pipeline: This system processes trust filings that only exist as scanned images. It reads them using Tesseract and AWS Textract, parses and validates the data, calculates KPIs, and delivers AI-written reports on a schedule using Airflow and Docker. This is an ongoing Upwork contract. ✅Python Backend and Data Science: I manage a client's production backend and data science workloads end to end in a long-term engagement. ✅RAG Study Assistant: I built a chat assistant that answers questions from licensed real-estate course material and stays strictly within it. Along the way I solved the problems that only appear with real users, like retrieval confusing two similar rule sets and follow-up questions losing context. A live demo is available. ✅Tender Requirements Extraction: This system reads government tender documents and extracts a structured list of requirements for a procurement SaaS platform. ✅Trademark Case-Law Engine: I built retrieval and similarity search over EUIPO case law for an AI trademark platform, so lawyers can find similar past cases quickly. ✅ Earlier ML work includes medical forms generated from doctor-patient conversations, credit default prediction, anomaly and spam detection, and vehicle detection. I'm a Kaggle Competitions Expert, ranked in the top 5% worldwide in NLP competitions. The stack I work in daily is Python, FastAPI, TypeScript, PostgreSQL, LangChain, LangGraph, OpenAI, Anthropic API, Pinecone, Hugging Face, Tesseract, AWS Textract, Airflow, Prefect, Docker, n8n, Make and AWS. For ML work I use PyTorch, TensorFlow and Scikit-Learn. Feel free to message me anytime to discuss your project. I'm happy to do a quick call first if it helps clarify scope before we start.

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.

As an AI/ML Data Scientist and Power BI Dashboard & Data Visualization Expert, I help businesses use their data to uncover patterns, predict outcomes, automate reporting, and make faster, better-informed decisions. Whether you have raw business data that needs to be transformed into a predictive model, scattered data that needs to become a Power BI dashboard, or an existing analytics setup that needs improvement, I can take it from data preparation to a solution your team can actually use. 🤖 AI/ML & Data Science I work on practical AI and Machine Learning solutions rather than models that only look good on paper. This includes predictive analytics, forecasting, classification, regression, customer churn prediction, recommendation systems, customer segmentation, fraud detection, anomaly detection, and NLP. Using Python, Pandas, NumPy, Scikit-Learn, TensorFlow, and Keras, I can handle the process from exploring and preparing your data to developing, evaluating, and improving the model. 📊 Power BI Dashboards & Data Visualization I build Power BI dashboards that make business data easier to understand and act on. From executive KPI dashboards and sales analytics to financial reporting, marketing performance, customer analytics, and operational reporting, I focus on presenting the information that actually matters. My Power BI work includes DAX, Power Query, data modeling, data transformation, interactive visualizations, dashboard optimization, and automated reporting. ⚙️ Data, ETL & Automation Good AI and good dashboards both start with reliable data. I can work with SQL, Python, ETL pipelines, APIs, databases, data cleaning, data transformation, and automation to bring data from different sources together and prepare it for analytics, machine learning, or Power BI. A typical workflow can look like: Data Sources → ETL & Cleaning → SQL/Python → AI/ML & Analytics → Power BI → Business Insights What I Can Help You Build • AI/ML and predictive analytics solutions • Power BI dashboards and BI reporting • Data visualization and interactive reports • Forecasting and prediction models • Customer, sales, and marketing analytics • Automated reporting workflows • ETL and data transformation pipelines • API and database integrations Core tools: Power BI, Python, SQL, DAX, Power Query, Pandas, NumPy, Scikit-Learn, TensorFlow, Keras, PostgreSQL, Excel, Looker Studio, APIs, ETL and data automation. My approach is simple: understand the business problem first, work with the data carefully, and build something that gives you a clear outcome. If you're looking for an AI/ML Data Scientist, Power BI Dashboard Expert, or Data Visualization specialist, send me the details of what you're working on and let's see how I can help. . . #Datascience #Artificialintelligence #Machinelearning #Datavisualization #PowerBI #Dashboard #Model #Development