I am a Data Engineer specializing in building scalable data pipelines, data extraction systems, and search infrastructures. I help companies collect, process, and transform large volumes of data into reliable datasets that power analytics, AI, and business applications. My expertise focuses on end-to-end data workflows — from data ingestion and scraping to transformation, indexing, and delivery through APIs. What I can help you with: • Data Pipeline Development Designing and implementing robust ETL/ELT pipelines using Python, workflow orchestrators • Workflow Orchestration Building and maintaining scalable workflows using Apache Airflow or Prefect. And Kafka for real-time streaming pipelines. • Large-Scale Web Scraping Systems Creating resilient scrapers for social media, and web platforms with rate-limit handling, high concurrency, proxy rotation, browser fingerprinting simulation, headless browser, and bot-dectection bypass strategies. • Data Processing & Transformation Cleaning, structuring, and transforming raw data into production-ready datasets. • Storage & Indexing Designing and optimizing databases using Elasticsearch, Postgres, MongoDB, Neo4j for fast and accurate search queries. • Data APIs Building high-performance data services using FastAPI or Flask with authentication and authorization mechanisms, rate limiting, request validation, and caching strategies. • Data Visualization & Dashboards Building interactive dashboards and monitoring interfaces using Kibana, Superset or custom dashboards with Vuejs. What you can expect when working with me ✔ Clean and maintainable code ✔ Scalable architectures for data workflows ✔ Reliable data pipelines designed for production ✔ Clear communication and fast delivery If you need help building data pipelines, scraping infrastructures, or scalable data systems, I would be happy to collaborate with you.

I build data pipelines, attribution systems, and reporting layers for adtech, marketing, and analytics teams. My strongest work is in cleaning up fragmented source data and turning it into reporting that teams can actually trust, especially when data is spread across ad platforms, analytics tools, spreadsheets, internal databases, and custom APIs. I typically work across the full stack of analytics delivery: data ingestion, transformation, warehouse design, business logic, automation, and reporting. What I help with: 1. Ad platform and marketing API integrations 2. BigQuery-based ETL / ELT pipelines 3. Attribution and performance reporting systems 4. Warehouse modeling and reporting layers 5. Data validation, reconciliation, and automation 6. Custom dashboards and internal tools in React / Next.js 7. Backend workflows using Python, Node.js, and serverless infrastructure Platforms and sources I’ve worked with: Meta Ads, Google Ads, GA4, DV360, TikTok, LinkedIn Ads, Reddit Ads, Shopify, Salesforce, Jira, Google Sheets, Google Forms, Firebase / Firestore, SQL databases, and custom internal data sources. Examples of the work I do: 1. Build ingest-to-insight pipelines for marketing and ad platform data 2. Design reporting layers that make KPIs usable across campaigns, clients, and channels 3. Implement attribution and event tracking logic for cleaner performance analysis 4. Restructure analytics stacks into more maintainable warehouse models 5. Automate repetitive reporting and operational workflows across cloud tools and APIs 6. Build custom dashboards and internal data products when off-the-shelf reporting is too limiting Tech I use regularly: Python, SQL, Node.js, TypeScript, BigQuery, GCP, AWS, Airflow, Cloud Run, Cloud Functions, Lambda, SQS, Firestore, DynamoDB, GitHub Actions, React, and Next.js. I’m a strong fit for teams that need more than a one-off script or dashboard. If you need someone who can take raw source data and turn it into reliable reporting and usable internal systems, message me.

Currently working as a Machine Learning Developer , making Retrieval-Augmented Generation chatbots for the clients using GPT-4 and GPT-4o-mini .Indulged in Machine Learning field for more than 2 years as of now , that led me to work in prior 2 companies working closely with the clients in projects designing MLOps pipelines as a Tech Engineer and as a Freelancer. SERVICES I OFFER: ✅ Engaging with complex datasets from sources like Kaggle ,AWS Public Datasets and UCI datasets for exploration of essential data science concepts. This process includes data cleaning, exploratory data analysis (EDA), and visualization to extract meaningful insights and train the defined supervised or unsupervised model. ✅ Using Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) in machine learning for handling structured data and image recognition, respectively. Implementing these models requires careful architecture design and optimization through backpropagation to achieve high accuracy. ✅ Creating Continuous Integration/Continuous Deployment (CI/CD) pipeline automating the integration of code changes to ensure efficient deployment to platforms like AWS EC2 and Vercel. Utilizing tools such as GitHub Actions which enhance the workflow efficiency while maintaining code quality. ✅ Building Generative AI chatbots using frameworks like LangChain, which integrates language models into applications. By employing Retrieval-Augmented Generation (RAG) techniques, these chatbots enhance their conversational capabilities with access to external knowledge bases. ✅ Mastering complex Data Structures and Algorithms (DSA) problems is essential for aspiring software engineers and data scientists. Python’s rich libraries and straightforward syntax make it an ideal language for practicing algorithm design and optimization strategies on platforms like LeetCode or GeeksForGeeks. TECH STACK I USE : ☑️ Programming Languages: Python, HTML/CSS, R ☑️ Deep Learning Frameworks/Tools: Tensorflow, Pytorch, Keras, mlxtend, Sklearn, Scipy, Seaborn, matplotlib, pandas, numpy ☑️ Gen AI : LLMs, Retrieval-Augmented Generation , FAISS ☑️ Web Framework: Flask, Streamlit ☑️ Cloud Platforms: AWS, Vercel ☑️ Database Management: SQL,NoSQL ☑️ Development Tools/Paradigms: AWS, Heroku, Git, Github Actions,MLflow, Mlops,CI/CD ☑️ IOT : Raspberry PI, Sensors, Linux Feel free to reach me. Lets get together and build something !

* Expert Vetted talent in Upwork with 100% job success rate. * I am looking for long term work in solving problems with Machine Learning solution. * I have been working on Machine Learning for over 5 years. * My area of expertise in Machine Learning area are: Computer Vision and NLP. * My live projects include: 'Detect Products of Super-market shelves', 'Detect sharp objects from x-ray image', various Image classification models like to classify inside/outside House, Shoes(of different materiel), 'Text classification' of various articles. * I have also worked on stock forecasting LSTM model using stock data and sentiment data. * I have a certification from Udacity in "Self Driving Car Engineer" Nano Degree

🚀Unlocking the Power of Data: Expert Data Scientist at the ready ⭐️Crafting Data Stories with Python and Precision 🕒 4+ Years of Specialized Experience ✅ Numerous Successful Projects across AI, ML, NLP, and Computer Vision ✅ Driving Innovation with Data-Driven Solutions With more than 4 years of experience in data science, I specialize in machine learning, AI, NLP, and computer vision. My expertise has been applied in a range of projects, from working with dynamic startups to collaborating with established industry leaders. I've led initiatives that improved business intelligence and introduced AI-driven innovations. My skills in Python, TensorFlow, PyTorch, and Keras enable me to develop advanced data models that guide strategic decision-making and foster innovation. My roles at Educative.io and Ekkel AI have established me as a notable contributor to data science education and the advancement of technology. My work has had a significant impact in both academic settings and practical industry applications. I am passionate about transforming complex data into powerful tools that enhance performance, unlock new opportunities, and deliver value to businesses. I approach every project with a focus on delivering strategic insights, working collaboratively to meet project objectives, and maintaining a commitment to meet deadlines with precision. My goal is to use data science to advance your projects, overcome challenges, and turn data into a valuable asset. Let's connect to transform your projects with data-driven insights and innovative solutions.

Experienced Data Scientist with a track record of over 5 years in data analysis, statistical modeling, and machine learning. Delivered more than 20 projects to clients all over the world.

Hi! I am a Python developer with over 4 years of experience, specializing in building robust backend systems and automated trading bots. I have extensive experience in: Python Backend Systems: Developing APIs and backend applications using FastAPI, Flask, Falcon, with SQLAlchemy for database integration. Trading Bots & Automation: Built multiple fully automated trading bots for stocks, futures, and options, including data handling, logging, alerts, and integration with Interactive Brokers. Data Analysis & Visualization: Preprocessing, statistical analysis, and visualization using Jupyter, Pandas, Seaborn, and Plotly. Web Scraping & API Integration: Experienced with BeautifulSoup, Selenium, and building/consuming RESTful APIs. I am committed to delivering high-quality work on time and exceeding expectations. Let’s collaborate to bring your Python projects to life!

High-impact automation and data solutions to scale your business efficiency. As a Top Rated automation expert, I specialize in building custom technical solutions that bridge the gap between complex data and practical business applications. With a strong background in Python and VBA, I help clients eliminate manual tasks, extract valuable insights from unstructured sources, and build reliable tools that save hundreds of hours. Whether you need to scrape thousands of data points, automate your document workflow, or build a complex mathematical engine, I deliver clean, documented, and scalable code. --- 🛠️ WHAT I BRING TO YOUR PROJECT --- * Custom Automation: Developing standalone Python scripts and Excel VBA macros to automate repetitive workflows and business logic. * Data Extraction & Scraping: Transforming messy PDFs, Word documents, and websites into structured, ready-to-use datasets. * Document Generation: Building "one-click" systems to generate custom contracts, proposals, and reports from Excel data. * Advanced Data Processing: Leveraging Python (Pandas/NumPy) for complex calculations, data cleaning, and semantic matching. --- 📊 HIGHLIGHTED EXPERTISE --- * Languages: Python, VBA, SQL. * Tools: Selenium, BeautifulSoup, Pandas, Openpyxl, Mail Merge. * Engineering Focus: Experience with CAD-related data automation and complex mathematical logic. --- 🤝 WHY CLIENTS CHOOSE TO WORK WITH ME --- I don't just write scripts; I solve business problems. My approach is focused on: * Integrity: Ensuring 100% accuracy in data processing. * Usability: Delivering tools that are easy for non-technical users to operate. * Support: Providing clear instructions and documentation for every deliverable. Let's transform your manual processes into automated success. Click "Invite to Job" or "Hire Now" to start a conversation about your project!

I am a data scientist with 10 years of experience. I hold a BSc in Economics and a MSc in Data Mining both from the University of Buenos Aires. Upwork Badges: Expert-Vetted and Top-Rated Plus - Top 1% in the platform Below are some of the common task I'm consulted with: - SFT esperience with LLMs such as Mistral 7b, Mixtral MoE, Llama2 models, T5, - Prompt engineering with openai models (GPT-3.5, GPT-4) and open source models (Mixtral ). - Deep learning for NLP - Exploratory data analysis, Statistics, Data Visualization - Machine learning for Marketing use cases - Time series forecasting - Quantitative Finance - Machine learning for finance/trading - Applied Statistics Programming Languages - 10 years of experience - Python: keras, tensorflow, pytorch, huggingface, numpy, scikit-learn, pandas, opencv, spacy, openai, langchain, transformers, sentence-transformers - SQL - R New clients often hire me for one project that helps them get to know how I work, this is normally the start of a long term work relation. Expect integrity, fluid communication in English, technical proficiency and long term support.

$100K+ earned · 50 jobs · Near-perfect ratings I'm a Data Analyst, BI Developer & Data Scientist with 6+ years turning raw data into dashboards, models, and pipelines that actually get used. 📊 BI & Dashboards Tableau, Power BI & Looker Studio dashboards built for real decisions — not just looks. KPIs, funnels, cohort analysis, executive reporting. 🤖 Data Science & ML Python-based analysis, forecasting, classification & clustering. I translate model output into plain business decisions — no jargon. 🛠 Data Engineering Advanced SQL, ETL/ELT pipelines, data cleaning & star schema modelling. Your reports are only as good as the data behind them. 🔧 Stack Python · SQL · Tableau · Power BI · Looker · Scikit-learn · Pandas · BigQuery · Streamlit I ask the right questions first, validate numbers before delivery, and ship fast. If you need clean data, reliable dashboards, or a model that works — let's talk.