Hi, With 10+ years of experience, I support businesses and researchers in analyzing complex datasets and delivering clear, reliable insights. My expertise lies in machine learning focused on predictive analytics, statistical modeling, and decision-driven insights. I work with both quantitative and qualitative data, building robust models in Python, R, SPSS, STATA, and EViews, and developing time-series forecasts and multi-source data pipelines. Alongside modeling, I create clear, executive-ready visualizations in Power BI and automate workflows in Excel to streamline reporting and improve decision-making for businesses, researchers, and real world industry-level projects. In addition to data science and analytics, I also help businesses eliminate repetitive work through AI automation and intelligent workflow systems. I specialize in building AI-powered chatbots, Retrieval-Augmented Generation (RAG) systems, and business automation workflows using Python, n8n, APIs, OpenAI/Groq models, and low-code/no-code automation platforms. My solutions are focused on improving operational efficiency, automating repetitive processes, integrating business tools, and deploying AI assistants that teams actually use in real-world environments. 💼 As a seasoned data analyst and AI automation expert, I offer the following data analysis and AI automation services: ◾ 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻, 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Extensive expertise in data extraction with Python libraries including Beautiful Soup, Selenium, and Pandas. Skilled in conducting surveys, interviews, and market research to ensure accurate and efficient data collection. ◾ 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: I have complete command over building regression, classification, and time-series models (ARIMA, SARIMA, Prophet) using Python (scikit-learn, statsmodels) and R to generate accurate forecasts and actionable insights. ◾ 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: Designing intelligent automation workflows, AI assistants, API integrations, RAG-based chatbots, and process automation systems using Python, n8n, LangChain, OpenAI APIs, vector databases, and low-code/no-code platforms to streamline business operations and customer workflows. ◾ 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 & 𝗤𝘂𝗮𝗹𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: I specialise in research methodology, statistical reporting, and qualitative data analysis using Python (Jupyter Notebook), JMP, JASP, R (RStudio), STATA, NVivo, SPSS, Splunk, Power BI, Minitab, and MS Excel. ◾ 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 & 𝗘𝘅𝗰𝗲𝗹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: To visualise insights, I design interactive dashboards and automated reporting systems using Python (Matplotlib, Plotly), R (ggplot2, Shiny), Excel/VBA, Power BI, Tableau, and Google Sheets automation; helping businesses monitor KPIs and make faster decisions. ◾ 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 & 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: I provide clear research insights, actionable recommendations, and literature-backed reporting, helping clients make informed decisions across industries. If you are looking for a freelance data scientist and AI automation expert who combines technical expertise, automation, and scalable business solutions, let’s connect to discuss how we can turn your data and workflows into real, actionable results. Best Regards, Imran Ali.

I am an educated data scientist & ML engineer who has worked in academia teaching Algorithms, machine learning and AI. I've been programming in python daily for over 3 years and that's where I do most of my data analysis. I have a lot of experience with machine learning and data visualizations, mainly in python. Working in a diverse set of fields has given me experience with many different types of data and obtaining it from many different sources. Some of the projects I have done are: • Computer Vision • Regression modeling • Machine learning and various statistical models in big data • Computer vision • Predictive Analytics • Natural Language Processing Tech stack: Keras, Python, SQL, TensorFlow, PyTorch, Scikit-learn, Spark, PennyLane

Most companies don’t have a data problem They have a data architecture problem TBs of raw data sitting in pipelines that break, dashboards that lag, ML models that never make it to production, and AWS bills that grow faster than the infrastructure itself That’s where I come in I’m Shoaib, a Senior Data Engineer and AWS Solution Architect (SAA Certified) with 5+ years of experience building scalable data platforms, real-time pipelines, and AI/ML systems for healthcare, finance, and large-scale SaaS products I specialize in designing systems that process massive datasets, deliver reliable insights, and keep infrastructure costs under control Over the years I’ve helped companies: • Process TBs of healthcare and financial data using Spark, Kafka, and AWS data lakes • Build real-time streaming pipelines handling 1M+ requests/hour • Reduce cloud infrastructure costs by up to 50% through architecture optimization • Deploy AI/ML systems for healthcare prediction, stock forecasting, and medical transcription • Implement fault-tolerant data architectures on AWS following the Well-Architected Framework My work sits at the intersection of Data Engineering, Cloud Architecture, and AI/ML systems ------------------------------------------------------------------------------------------ Core expertise Solution Architecture AWS scaling, cost optimization, fault tolerance, CI/CD pipelines, cloud migrations Data Engineering Real-time streaming, batch pipelines, TB-scale data processing, CDC pipelines, CEP workflows, data lakes, governance, BI systems AI / ML Systems Predictive models, GenAI applications, RAG systems, domain-specific AI assistants ------------------------------------------------------------------------------------------ Tech Stack AWS (Glue, S3, EMR, Redshift, Athena, SageMaker, QuickSight) Apache Spark, Kafka, Flink, Hadoop, Hudi Snowflake, Postgres, MongoDB Python, SQL PyTorch, TensorFlow, LangChain, MLFlow ------------------------------------------------------------------------------------------ I’ve worked extensively with healthcare data (HIPAA compliant systems), financial time-series data, and large-scale event streaming platforms, helping teams turn messy data ecosystems into scalable, production-grade data platforms If you're looking for someone who can design the architecture, build the pipelines, and integrate AI/ML into real systems, I’d be happy to help ------------------------------------------------------------------------------------------ Keywords: Data Engineering, Big Data, Data Pipelines, ETL, ELT, Data Architecture, Data Lake, Data Warehouse, Real-Time Data Processing, Streaming Data, Batch Processing, Apache Spark, Apache Kafka, Apache Flink, Hadoop, Apache Hudi, Airflow, Apache NiFi, Snowflake, Snowpark, PostgreSQL, MongoDB, SQL, Python, Data Modeling, Data Governance, Data Quality, Master Data Management, CDC, Change Data Capture, CEP, Complex Event Processing, Data Integration, Data Migration, Data Analytics, Business Intelligence, Apache Superset, AWS QuickSight, Redshift, Athena, Data Visualization, AWS, AWS Architecture, AWS Solution Architect, AWS Cloud Architecture, AWS Cost Optimization, AWS Scaling, Fault Tolerant Systems, AWS Infrastructure, AWS Glue, AWS EMR, Amazon S3, AWS Redshift, AWS Athena, AWS Lambda, AWS CI/CD, Cloud Migration, Cloud Optimization, Distributed Systems, High Availability Architecture, Scalable Systems, Machine Learning, AI Engineering, AI Development, Generative AI, GenAI Applications, Agentic AI, Predictive Analytics, Model Training, Deep Learning, PyTorch, TensorFlow, Scikit-Learn, XGBoost, Time Series Forecasting, ML Pipelines, MLFlow, Feature Engineering, Model Deployment, AWS SageMaker, AWS Bedrock, LangChain, RAG, AI Chatbots, NLP, AI Automation.

🏆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗧𝗮𝗹𝗲𝗻𝘁 | Senior Full-Stack AI & Data Engineer ✅ A 100% refund if I set the wrong expectation and can’t deliver. No questions asked. ⸻ 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 I am an AI Lead and Senior Full-Stack Engineer with over 5 years of experience architecting, scaling, and deploying production-grade AI systems. I specialize in taking complex machine learning models out of testing environments and integrating them securely into active business operations. Whether you need a heavy-duty backend data pipeline, an autonomous multi-agent network, or a polished Next.js frontend to allow users to interact with your AI, I build deterministic, end-to-end systems that scale. ⸻ ⭐ 𝗪𝗵𝗮𝘁 𝗠𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆: "He doesn’t just build models—he solves problems with clarity, speed, and real impact." "Ahmed understands data like a second language—every engagement delivers actionable insight." ⸻ 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: I don't just deliver a disconnected Python script. I build the robust serverless backends (FastAPI) and the responsive frontends (React/Next.js) required to deploy a complete SaaS product. 🔹 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: I specialize in zero-leakage, highly secure ML and RAG architectures trusted by top-tier global consulting firms and national government bodies. 🔹 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗔𝗜 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: I enforce strict data schemas to ensure LLMs output exact, usable data (JSON) rather than hallucinated responses. 🔹 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 & 𝗙𝗮𝘀𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: As an independent technical lead, I offer crystal-clear communication, direct feedback loops, and strict adherence to deadlines. ⸻ 𝗖𝗼𝗿𝗲 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝟭. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React (4+ years), Next.js, TypeScript, Tailwind CSS. • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Seamlessly connecting complex Python/FastAPI AI backends to modern web interfaces. • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: PostgreSQL, Vector Databases (Pinecone, Qdrant), Graph Databases. 𝟮. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Building autonomous, task-driven AI networks with LangGraph, LangChain, and CrewAI. • 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Advanced custom deployments using n8n, Apify, and Webhooks for high-volume data ingestion. 𝟯. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗡𝗟𝗣 • 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗠𝗟: PyTorch, XGBoost, Random Forest, Transformers (BERT, RoBERTa, GPT). • 𝗡𝗟𝗣 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Enterprise RAG, Text Classification, Named Entity Recognition (NER), Sentiment Analysis. • 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Statistical analysis, data wrangling (pandas, NumPy), and rigorous A/B testing. 𝟰. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗟𝗢𝗽𝘀 • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Microsoft Azure, AWS, Google Cloud. • 𝗗𝗲𝘃𝗢𝗽𝘀: Dockerized environments, CI/CD pipelines, robust job retries. • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: High-performance REST APIs with FastAPI. ⸻ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜: Designed and deployed zero-leakage RAG pipelines and custom AI deployments for multi-billion-dollar organizations and major national government sectors. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: Architected stateful backend networks for enterprise AI platforms where autonomous agents securely query databases and reason through complex constraints. • 𝗛𝗶𝗴𝗵-𝗩𝗼𝗹𝘂𝗺𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Engineered heavy-duty LLM data pipelines for high-volume SaaS applications that force the extraction of 38+ precise data points from unstructured text with zero hallucinations. ⸻ 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗦𝗲𝗿𝘃𝗲 Finance & Legal | Healthcare & Life Sciences | E-commerce & Marketplaces | Real Estate & Property Management | EdTech | B2B SaaS Startups ⸻ 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗡𝗲𝘅𝘁 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 If you are looking for an engineer who thinks in system architecture rather than just running prompts, let's connect. 📩 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝗮 𝗯𝗿𝗶𝗲𝗳 𝗼𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸, 𝗮𝗻𝗱 𝗜 𝘄𝗶𝗹𝗹 𝘄𝗮𝗹𝗸 𝘆𝗼𝘂 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝗜 𝘄𝗼𝘂𝗹𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝘁𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻.

I'm an Economics graduate with a strong focus on data science and quantitative analysis. My academic background combined with practical experience at Hilton's finance department has given me a solid foundation in working with real-world data and understanding business contexts. What I do best is transforming complex datasets into meaningful insights. I recently completed a comprehensive analysis of US demographic and political patterns across over 100,000 records covering all 3,109 counties. This project involved advanced spatial analysis, i can use GeoDA and R(sf,sp packages) , machine learning models including Random Forest and XGBoost, and creating interactive visualizations that revealed significant correlations between demographic factors and voting behaviors. My technical expertise spans several areas: Statistical Analysis & Machine Learning: I work extensively with R and Python for econometrics, spatial analysis, and predictive modeling. I'm experienced with packages like spdep for spatial regression, leaflet for interactive mapping, and caret for machine learning workflows. Data Collection & Processing: I've built automated systems for gathering and processing large datasets. One notable project involved creating an intelligent web scraping system for real estate data that handles anti-detection measures and processes thousands of property listings with smart batch processing and risk management. Blockchain & DeFi Development: I've developed a sophisticated oracle system that connects real-world market data to blockchain smart contracts. This project demonstrates my ability to work across different technology stacks, from web scraping and data analysis to Solidity programming and Web3 integration. What sets me apart is my ability to bridge academic rigor with practical application. My economics background helps me understand the business implications of data analysis, while my technical skills allow me to implement robust, scalable solutions. Whether it's spatial analysis for policy research, automated data collection for market intelligence, or building systems that operate at the intersection of traditional finance and emerging technologies, I approach each project with careful methodology and attention to detail. I believe in delivering work that's not just technically sound but also well-documented and reproducible. All my projects include comprehensive documentation, clear methodologies, and code that others can understand and build upon.

Data Scientist with 4 years of experience turning complex data problems into production-ready ML and AI solutions that deliver measurable business impact. I can help you: ▶️ Build and deploy ML models that perform reliably in production ▶️ Develop NLP and GenAI solutions - classification, chatbots, RAG systems, AI agents ▶️ Design clean data pipelines and semantic models that scale ▶️ Turn messy, complex data into clear, actionable insights Recent projects: ✅ Built a scalable LLM-powered NLP pipeline on AWS Bedrock (classification, NER), improving model performance from ~70% to 95%+ with projected savings of $50k+ ✅ Developed production ML pipelines using PyTorch and TensorFlow to automate insurance claims processing, increasing efficiency by 60%+ ✅ Transformed 100k+ rows of unstructured data into actionable insights using Python, SQL, and Power BI, used by stakeholders to drive key policy decisions Tech stack: Python · SQL · Snowflake · dbt · Pandas · Scikit-learn · PyTorch · TensorFlow · AWS Bedrock · HuggingFace · Power BI If you need someone who takes ownership from idea to production and delivers results you can measure, feel free to reach out.

👋 𝐘𝐨𝐮 𝐝𝐨𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐧𝐞𝐞𝐝 𝐜𝐨𝐝𝐞. 𝐘𝐨𝐮 𝐧𝐞𝐞𝐝 𝐫𝐞𝐬𝐮𝐥𝐭𝐬. If you're building an AI product, automating a workflow, or trying to extract real value from your data — you need someone who's done it before, at a high level, and can do it again for you. That's where I come in. I'm an AI & Machine Learning Engineer with 𝟓+ 𝐲𝐞𝐚𝐫𝐬 of hands-on experience and a Master's Degree in Artificial Intelligence & Data Science. I don't just understand the theory — I build production-ready solutions that actually work in the real world. 🔥 What I Build 🧠 Generative AI & LLM Systems — Custom GPT agents, RAG pipelines, fine-tuned models, and prompt engineering that goes beyond the basics. 📦 End-to-End ML Solutions — From raw data to deployed model. Clean, scalable, and built to last. 🔍 Semantic Search & Knowledge Bases — Embeddings, vector databases, and retrieval systems that make your data intelligent. ⚙️ Data Science & NLP — Predictive models, text analysis, classification, and insights that drive decisions. ☁️ Cloud Deployment (GCP) — Production-grade pipelines that scale with your business. 🛠 Core Tech Stack Python · SQL · LangChain · OpenAI / Anthropic APIs · RAG · Fine-tuning · Vector DBs · NLP · GCP · Machine Learning · Deep Learning 💡 Why Clients Keep Coming Back ✅ I deliver, not just discuss — Every project ends with something real, measurable, and valuable. ✅ I communicate like a professional — Fast responses, clear updates, zero guesswork on your end. ✅ I think like a business owner — I focus on what moves the needle for you, not just what's technically interesting. ✅ I stay sharp — I continuously upskill to keep pace with one of the fastest-moving fields in tech, so you're always getting current, relevant expertise. 📩 Let's Talk Whether you have a fully scoped project or just a rough idea — reach out. I'll help you figure out the best path forward and give you a clear picture of what's possible. Your next AI breakthrough starts here. Let's build it.

As a passionate and dedicated data scientist, I bring a strong foundation in mathematics and advanced expertise in machine learning and graph theory. I hold a master's degree from IIT Jodhpur, where I was a silver medalist, and am currently pursuing a PhD at IIT Bombay, focusing on graph machine learning. My academic journey has been complemented by hands-on experience as a teaching assistant in various courses related to machine learning, deep learning, and mathematics. This role has honed my ability to simplify complex concepts and guide students through challenging material. With a solid background in both theoretical and applied aspects of data science, I am eager to take on freelance projects that involve data analysis, model development, algorithm optimization, and more. Whether you're looking for someone to help with academic research, develop custom machine learning models, or provide insights from complex datasets, I'm here to deliver high-quality results. Let's work together to turn data into actionable insights and drive your projects to success!

I help businesses 𝐭𝐮𝐫𝐧 𝐜𝐨𝐦𝐩𝐥𝐞𝐱, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐄𝐓𝐋 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, and real-time analytics systems that eliminate manual reporting and enable faster, smarter decision-making. I specialize in building 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐮𝐬𝐢𝐧𝐠 𝐀𝐖𝐒, 𝐁𝐢𝐠𝐐𝐮𝐞𝐫𝐲, 𝐒𝐐𝐋, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐚𝐧𝐝 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈, helping companies move from fragmented data systems to fully automated data ecosystems. With 7+ years of experience in 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, I design and implement scalable, cloud-based data solutions including data pipelines, data warehouses, reporting systems, and workflow automation architectures. I have successfully delivered 250+ projects for startups, SMEs, and enterprise clients across industries such as finance, SaaS, e-commerce, healthcare, logistics, and operations, consistently improving reporting speed, data accuracy, and business visibility. Whether you need automated dashboards, cloud data pipelines, data warehouse solutions, or reporting systems, I can help you build a reliable and scalable data infrastructure that supports better decision-making. 📌𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒 𝐈 𝐎𝐅𝐅𝐄𝐑 📊 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 & 𝐁𝐈 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ◼Executive & KPI dashboards (Finance, Sales, Operations) ◼Advanced DAX calculations & Power Query (M) ◼Row-Level Security (RLS) ◼Data modeling (Star & Snowflake schema) ◼Automated reporting systems ⚙️ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐄𝐓𝐋 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 ◼ETL/ELT pipelines using Python, SQL, PySpark ◼API & multi-source data integration ◼Data transformation workflows (dbt) ◼Data validation & quality frameworks ◼Performance optimization ☁️ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 ◼AWS (S3, Glue, Redshift, Lambda) ◼Google BigQuery ◼Snowflake & Databricks ◼Azure Data Factory ◼Data warehouse design & migration 📈 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐦𝐩𝐚𝐜𝐭 ◼50–70% reduction in manual reporting effort ◼Real-time dashboards for leadership decisions ◼Scalable and secure data architecture ◼Single source of truth across all systems ◼Faster, data-driven decision making 🛠 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 Power BI | SQL | Python | PySpark | AWS | BigQuery | Snowflake | Azure Data Factory | Databricks | dbt | ETL Pipelines | Data Warehousing | API Integration | Data Modeling | DAX | Power Query 🤝 𝐖𝐡𝐨 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡: ✔Startups scaling their data systems ✔SMEs needing automated reporting ✔Enterprises modernizing legacy data pipelines ✔Teams struggling with messy spreadsheets or disconnected data 💡 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 I focus on building production-grade data systems that are scalable, automated, secure, and easy to maintain. My goal is not just to create dashboards, but to help businesses make faster, smarter, and data-driven decisions with confidence. 𝐈𝐟 𝐲𝐨𝐮 𝐧𝐞𝐞𝐝 𝐚 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐨𝐫 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐡𝐨 𝐜𝐚𝐧 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, 𝐬𝐞𝐧𝐝 𝐦𝐞 𝐚 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬.

AI Engineer | LLM Specialist | Machine Learning Engineer | Data Scientist | Automation Expert I help businesses leverage Artificial Intelligence, Large Language Models (LLMs), Machine Learning, Data Science, and Workflow Automation to streamline operations, reduce costs, and unlock new opportunities for growth. With 6+ years of experience building production-ready AI and automation solutions, I have successfully delivered intelligent systems ranging from AI agents and predictive analytics platforms to business process automation workflows that save hundreds of hours of manual work. 💡 Core Expertise AI & Large Language Models (LLMs) ✅ OpenAI (GPT-4/5), Claude, Gemini, Llama, Mistral, DeepSeek ✅ AI Agents & Multi-Agent Systems ✅ RAG (Retrieval-Augmented Generation) ✅ Chatbots & Virtual Assistants ✅ Prompt Engineering ✅ Fine-Tuning & Model Optimization ✅ Document Intelligence & Knowledge Bases ✅ Semantic Search & Vector Databases Machine Learning & Data Science ✅ Predictive Modeling ✅ Classification & Regression ✅ Time Series Forecasting ✅ Recommendation Systems ✅ Statistical Analysis ✅ Data Cleaning & Feature Engineering ✅ Business Intelligence & Analytics Automation & AI Workflows ✅ n8n ✅ Make (Integromat) ✅ Zapier ✅ LangChain ✅ LangGraph ✅ CrewAI ✅ AutoGen ✅ API Integrations ✅ CRM Automation ✅ Email & Lead Generation Automation ✅ Workflow Orchestration ✅ Data Pipeline Automation Deployment & MLOps ✅ FastAPI, Flask ✅ Docker ✅ AWS, Azure, GCP ✅ CI/CD Pipelines ✅ Kubernetes ✅ Production AI Systems --- Featured AI & Automation Projects AI Customer Support Agent • Built an AI-powered support assistant using OpenAI, LangChain, and Pinecone • Integrated company documentation and FAQs using RAG architecture • Reduced response times by over 80% • Deployed via FastAPI and Docker Intelligent Document Processing System • Automated extraction of information from invoices, contracts, and PDFs • Combined OCR, LLMs, and workflow automation • Integrated with Google Drive, Airtable, and Slack • Eliminated hours of manual data entry End-to-End Lead Generation Automation • Built a fully automated lead generation pipeline using n8n and OpenAI • Scraped and enriched leads from multiple sources • Generated personalized outreach emails using AI • Automatically pushed qualified leads into HubSpot and Google Sheets AI Email Automation Assistant • Developed an AI workflow that classifies incoming emails, drafts responses, and routes requests automatically • Connected Gmail, Slack, Notion, and CRM platforms • Reduced manual email processing workload by 70% Business Intelligence Automation Dashboard • Automated data collection from multiple APIs and databases • Built real-time dashboards using Streamlit and Power BI • Automated daily and weekly reporting processes Multi-Language Text Summarization Platform • Summarizes documents in multiple languages using transformer models • Includes sentiment analysis, keyword extraction, and readability scoring • Available through web application and API Healthcare AI Prediction System • Developed machine learning models for heart disease, Alzheimer's disease, diabetic retinopathy, and pneumonia detection • Built interactive dashboards and reporting tools for end users African Language Speech-to-Text System • Designed and deployed speech recognition models for local African languages • Hosted on AWS with scalable API infrastructure ### 📈 Sales Forecasting & Demand Prediction • Built forecasting systems using ARIMA, Prophet, XGBoost, and LSTM models • Enabled data-driven inventory and business planning --- 🛠 Tech Stack Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow | PyTorch | OpenAI API | Claude API | Gemini API | LangChain | LangGraph | CrewAI | AutoGen | n8n | Make | Zapier | FastAPI | Flask | Streamlit | Docker | AWS | Azure | GCP | Pinecone | ChromaDB | FAISS | Weaviate | Power BI | Tableau I don't just build models—I build complete AI and automation solutions that solve real business problems, improve efficiency, and deliver measurable ROI. Let's transform your ideas into intelligent, scalable, and automated systems.