Ready to dive into your data deeply Make data analysis and predictive modelling Marketing and business domains are preferred Proficient in customer and investments analytics ✅ EXPERT-VETTED TOP 1% ON UPWORK 🚻 Customers and growth analytics Calculation different customer KPI like LTV Segmenting customers by using the RFM method Customers cohorts analysis to detect churn Scoring customer and revenue churn risks Predicting dates and prices of future orders Modeling prices and revenue flow scenarios Analyzing user behavior on social media 🛒 Products and inventory analytics Forecasting stock-out events to minimize lost of sales Planning assortment based on ABC & XYZ analysis Assessing product competitiveness on the market Market basket analysis based on association rules Product sentiment analysis based on social media data 🏦 Venture capital investment analytics Deep understanding of crunchbase data source Scoring startups' success, multiples, and time of exit Startup market analysis and trends insights Modelling investment deals processes Design due diligence recommendations 📶 Trading analytics Designing and verifying trading strategies Modelling reflexive behavior strategies Recognizing threat patterns in trading data Detecting anomalies and outliers in trading data Managing trading deals and assessing associated risks Assessing fraud risks in trading and investment activities Algorithmic trading strategies design for crypto market 🚀 Google Analytics Defining click-through-rate drivers Assessment listings search sort relevance Scoring and ranking website users' engagement Calculations of normalized discounted cumulative gain 🧪 Clinical Trials Analytics Design R Shiny dashboards for analytical results reporting Redesign legacy R and R Shiny code to have more robust apps TECH STACK 🔧 Core Languages Python (primary) – ML systems, data engineering, APIs, AI and LLM R (advanced) – R Shiny apps, analytics, reporting, statistical modeling SQL (expert) – 20+ years, complex analytics & data modeling 🎛 Data Science & Machine Learning Data analysis: tidyverse, data.table, lubridate Modeling: tidymodels, caret, mlr3, parsnip, broom Tree-based models: ranger, randomForest, xgboost, catboost Time series: forecast, prophet, tidyverts, xts, zoo NLP: tidytext, quanteda, sentimentr, stm Quant finance: quantmod, quantstrat Pharma analytics: pharmaverse, rtables, admital, tidytlg 👨‍💻 Data Apps, APIs & Reporting Dashboards: shiny, shinydashboard, bslib, shinyjs App frameworks: golem, rhino, teal Tables: DT, reactable, gt, flextable Reporting: RMarkdown, bookdown, LaTeX Auth: shinymanager, shinyauthr Mobile apps: shinyMobile APIs: plumber 💾 Data Engineering & Storage Databases: RMySQL, RODBC, bigrquery Cloud & formats: aws.s3, jsonlite, feather, openxlsx Distributed: sparklyr, SparkR, h2o Platforms: Databricks, Snowflake, Palantir Foundry, AWS 📶 AI, LLMs & MLOps LLM apps: ellmer, querychat, shinychat,mini007 Shared: Experiment tracking: MLflow 🤹 Visualization Core: ggplot2, ggpubr, ggmap Networks: igraph, ggnetwork, geomnet Hierarchies: treemap, data.tree JS integrations (via R) plotly.js, d3.js, highcharts, leaflet, networkD3 ⚙️ Software Engineering Packaging: devtools, renv, packrat Performance: Rcpp, RcppParallel, microbenchmark Parallel computing: foreach, doParallel ⏱️ Trading & Quant Systems Research & backtesting: quantmod, quantstrat

I am a Senior Data Engineering specialist with 9+ years of experience building data pipelines and analytic platforms that turn raw data into actionable insights. My work focuses on designing scalable ingestion, transformation, and storage solutions using technologies like Spark, Kafka, Airflow, and cloud data warehouses (Snowflake, Redshift, BigQuery). I’ve streamlined ETL processes to handle terabytes of data daily, ensuring high throughput, data integrity, and cost-efficiency. Clients benefit from timely, accurate data that powers real-time dashboards, machine learning workflows, and mission-critical reporting. I am AWS Cloud expert with DevOps specialties with me, worked on Data oriented projects and managed CI/CD pipelines, data pipelines and cloud infrastructure in IaC (Terraform/Cloudformation) for the same project. Skills: • Data Ingestion & Streaming: Kafka, AWS Kinesis, Google Pub/Sub, RabbitMQ • Big Data Processing: Apache Spark, Hadoop (HDFS, Hive, MapReduce), Databricks • ETL/ELT & Workflow Orchestration: Apache Airflow, AWS Glue, dbt, Talend • Databases & Warehouses: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse • Programming & Scripting: Python (PySpark, Pandas), SQL, Scala, Bash • Cloud Services: AWS (EMR, S3, Athena), GCP (Dataflow, BigQuery), Azure (Data Factory) • NoSQL & Storage: DynamoDB, MongoDB, Cassandra, HBase • Data Modeling & Schema Design: Star/Snowflake schemas, partitioning, indexing •BI/Visualization: Tableau, Power BI, Looker, QuickSight • Data Governance & Quality: Great Expectations, Deequ, data lineage, metadata management • Performance Optimization: Query tuning, Spark job optimization, partition pruning

Data Science & Analytics | Transforming Data into Insights I am a Master’s student in Data Science with a degree in Applied Mathematics, specializing in data analysis, visualization, and predictive modeling. I have hands-on experience working with real-world datasets, extracting insights, and optimizing processes. 🔹 Key Skills: ✔ Data analysis and visualization (Python: NumPy, pandas, matplotlib | Power BI) ✔ Statistical and mathematical modeling for business applications ✔ Database management (PostgreSQL) ✔ Data cleaning, preparation, and predictive analytics I have worked on credit risk assessment, customer segmentation, and recommendation systems, applying classification and regression models to support strategic decision-making. My experience includes predicting customer solvency, optimizing lending strategies, and building machine learning models to drive business value. 🚀 My goal is to provide customized, efficient solutions that help businesses make strategic decisions based on data. Let’s work together to unlock the full potential of your data! 🚀

Former professor of biophysics turned Python developer in the Data Science domain, skilled in Mathematics, Statistics, and Physics, I am confident my work will exceed expectations. Specializing in: - Projects pertaining to Statistical/Data Analysis, Machine Learning, Mathematics, and Theoretical Physics. - Open AI machine learning and natural language processing (NLP) techniques to analyze documents and respond user queries in a chatbot. - Consulting Businesses through Financial/Inventory/Customer Data Analysis and Forecast. Skills that pertain to this project are the following: - Excellent Communicator - Problem-solver - Attention to detail - Analytical Thinker Analysis Skills: - Multivariate Statistical Analysis - Regression Analysis - Factor Analysis & Sensitivity Analysis - Bayesian Analysis - Monte Carlo Analysis - Game Theory - Experimental Designs - Time Series Analysis - Forecasting - Statistical Quality Control - Spatial Data Analysis - Structural Equation Modeling. Program Proficiency: - R programming - Rapidminer - Matlab - Python - Microsoft Excel. I do not outsource my work; I am a one-man team. Mostly available from 9 a.m. To 7 p.m. Local time (GMT+2).

Hey there! 👋 I'm Faraz, and I'm all about turning data into captivating insights and actionable intelligence using Dash Plotly. As a Data Analyst with a flair for creativity, I specialize in crafting interactive dashboards and visualizations that empower businesses to make informed, data-driven decisions. In addition to my expertise in Dash Plotly, I also bring a wealth of experience in machine learning to the table. From predictive modeling to pattern recognition, I leverage advanced algorithms to extract valuable insights from your data. My services include: Custom dashboard design and development Data visualization and analysis Integration with databases and external data sources Optimization and performance tuning of Dash Plotly applications Machine learning model development and implementation With a dedication to clear communication, meticulous attention to detail, and a commitment to delivering top-notch results that exceed expectations, I'm here to collaborate with you in bringing your data to life and unlocking its full potential! Let's embark on this journey together.

Available during US, Canada, UK, Europe, or other preferred time zones for smooth communication and collaboration. I am a highly experienced and versatile AI expert, specializing in Generative AI, Large Language Models (LLM), Machine Learning, Time Series Forecasting, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Data Science. My unique blend of technical expertise, business acumen, and entrepreneurial spirit sets me apart, as I consistently deliver transformative solutions that drive real business value. Key strengths and skills: 🦾 Extensive Prompt Engineering experience with many different LLMs and systems like OpenAI GPT-4o, Claude 3.5 Sonet/Opus, Mistral, Gemini, Llama 3, HuggingFace, Together.ai, Ollama, LM Studio, Groq and many others 🦾 Skilled in getting AI projects to production with frameworks like TextGrad, DSPy, Langchain, LlamaIndex, LangServe, LangSmith, Kor, Zapier, MemGPT and other cutting-edge AI tools 🦾 Achieved dramatic cost reduction and runtime improvements with fine tuning using QLORA, DeepSpeed, OpenAI GPT-3.5, Unsloth, Quantization, Transformers and GPU clusters 🦾 Successfully completed multiple Agentic framework projects with Autogen, CrewAI, AutoGPT, LangGraph, MultiOn, Open Interpreter and other agent-based systems 🦾 Strong background in computer vision and generative imaging/video with OpenCV, Stable Diffusion, Pika, Runway, Opus and Midjourney. 🦾 Built real time voice speech to text and text to speech systems with Twilio, Bland.ai, Whisper, ElevenLabs and others 🦾 Proficient in ML frameworks (TensorFlow, Keras, PyTorch, scikit-learn) and programming languages (Python, Mojo, C++, Javascript) 🦾 Expertise in algorithmic trading, stock/option/future forecasting, cryptocurrency, NFTs, DeFi protocols and Solidity with time series technology like AutoTS, Prophet, TimeGPT, PatchTST, etc. 🦾 Skilled in full-stack web development (V0.dev, React, Angular, Vue.js, Django, Node.js, FastAPI, Flask) and cloud computing (AWS, GCP, Azure, DigitalOcean) 🦾 Proficient in MLOps tools (Weights and Biases, Neptune, MLFlow, BentoML, Docker) and databases (RAG, Faiss, Weaviate, Pinecone, Neo4J, MongoDB, MySQL, BigQuery, PostgreSQL, SQLServer) 🦾 Product management from idea to end of life. I have the unique ability to understand complex business processes and automate them with AI. 🦾 Project/People Management from writing job descriptions to the hiring, managing, running scrums/standups, and delivering performance reviews of nearly a thousand people Thought leadership: 💡Frequent speaker, panelist and podcast guest on AI and entrepreneurship topics 💡Mentor & Advisor at several venture funded AI startups I have a proven track record of delivering measurable results across various industries, with nearly 10 successfully completed projects on Upwork. Whether you need a custom solution or expert guidance, I am committed to leveraging the power of AI to elevate your business to the next level. Let's collaborate and build something extraordinary together!

Most AI projects don't fail because of bad code — they fail because nobody checked if the results can actually be trusted. I build and validate intelligent systems: agentic pipelines, LLM-powered workflows, and the evaluation frameworks that make them safe to act on. My work sits at the intersection most engineers avoid: where technical results meet real-world accountability. Recently, my focus has expanded into agentic AI engineering and AI security — designing multi-agent systems with built-in quality loops, hallucination detection, bias auditing, and compliance filters. I don't just build pipelines; I build pipelines that check themselves. I've worked across computer vision, NLP, OCR pipelines, and clinical/academic research — including cell classification, ASR data, and publication-ready statistical analysis. Where I add the most value: — You need an agentic system that produces outputs you can actually trust and act on — You have a model or dataset and need to know if it's reliable before it goes anywhere near a decision — You're writing a thesis, paper, or clinical report and need analysis that survives peer review — Your stakeholders need to understand what the AI actually found — and what it didn't — You need an honest assessment of where your AI system could fail, be gamed, or cause harm I'll tell you honestly if ML isn't the right solution for your problem. That's rarer than it sounds. Core skills: Agentic AI Engineering · LLM Systems & Evaluation · AI Security & Governance · Hallucination & Bias Detection · ML Validation & Evaluation · Healthcare & Academic Data Analysis · NLP · Computer Vision · Statistical Analysis · AI Risk Assessment · Research Reporting Tools & Technologies Agentic & LLM Systems: LangGraph · LangChain · Groq · OpenAI · Pydantic · FastAPI AI Security & Governance: Hallucination detection · Bias auditing · Compliance filtering · Adversarial input testing Validation & Evaluation: MLflow · Weights & Biases · Arize AI · SHAP · LIME · Fairlearn · Great Expectations ML & Deep Learning: Python · PyTorch · TensorFlow · Scikit-learn · Keras Data & Statistics: R · IBM SPSS · Pandas · NumPy · SciPy · Statsmodels NLP & Computer Vision: Hugging Face Transformers · NLTK · OpenCV Data Quality & Pipelines: Great Expectations · DVC · Pandas Profiling Visualization & Reporting: Power BI · Matplotlib · Seaborn · Plotly Cloud & Infrastructure: AWS · GCP · Google BigQuery · Azure

I help businesses automate workflows, build AI-powered systems, and develop intelligent applications that save time, reduce costs, and scale operations. With 3+ years of experience, I specialize in building production-ready AI solutions using modern technologies like LLMs, GPT APIs, and scalable full-stack architectures. What I can build for you: • AI Automation Systems & Intelligent Workflows • ChatGPT / GPT-based Chatbots & AI Agents • RAG Systems (Retrieval-Augmented Generation) • Custom Machine Learning & Deep Learning Models • Computer Vision Solutions (Detection, Recognition, OCR) • Full-Stack Applications (React, Node.js) • API Development & Third-Party Integrations AI & Tech Stack: Python, Machine Learning, Deep Learning, NLP, Computer Vision OpenAI API, LLMs, Prompt Engineering, LangChain, Vector Databases TensorFlow, OpenCV React, Node.js, TypeScript, JavaScript REST APIs, SQL/NoSQL, Cloud, Git Why work with me? • Clean, scalable, production-ready code • Strong problem-solving & business-focused solutions • Fast communication & reliable delivery If you're looking to build AI-driven products, automate processes, or integrate advanced AI into your system, let’s talk. 📩 Available for both short-term and long-term projects.

I am an experienced professional over 15 years of experience in Data and Analytics area. Also have 10+ years of experience in Machine learning, AI and Data Science. I am an active member of crowdsourcing platform Topcoder for their AI and Data Science community. I have recently been granted a patent from USPTO US10609216B1 I have multidisciplinary skillset to solve real world business problems. Please check my portfolio for more information. I have experience in - 1. Real world AI consultancy 2. Large Language Model and generative AI 3. Trustworthy AI 4. AI/ML model and algorithm development 5. Explainable AI 6. Demand Forecasting 7. Real time Anomaly Detection 8. Regression and Classification problem 9. Computer Vision and 3D modelling 10. NLP tasks 11. Time Series Modelling 12. Optimisation Problem 13. Recommendation Engine Algorithm Creation etc. Please contact with me if you want to discuss the project at hand in more detail.

I am a data scientist with a strong research background and a Ph.D. in Sociology, combined with a Master’s in Industrial Engineering. My expertise lies in machine learning, statistical modeling, and data-driven decision-making, particularly in optimizing complex systems. With experience in both quantitative and qualitative methodologies, I bring a unique perspective to data science by integrating diverse analytical approaches. I have worked on projects involving predictive analytics, automation, and AI-driven optimization, applying techniques like clustering, regression analysis, and neural networks. My technical skills include Python (Pandas, NumPy, Scikit-learn, TensorFlow), SQL, and cloud-based ML model deployment. Beyond technical expertise, I have a strong foundation in academic research, content analysis, and peer review, making me well-equipped to interpret and communicate complex data insights effectively. SERVICES: 📊 Machine Learning & Data Analysis (Python, SQL, R, Scikit-learn, TensorFlow) 📈 Predictive Modeling & Automation (XGBoost, Time-Series Forecasting, NLP) 🔍 Data Cleaning & Visualization (Pandas, Matplotlib, Seaborn) 🚀 AI & Cloud Deployment (Google Cloud, AWS, Docker, MLflow) ✍️ Research & Technical Writing (Data Science, Engineering, Social Sciences)