UPWORK CERTIFIED MICROSOFT EXCEL & GOOGLE SHEETS AUTOMATION EXPERT Tired of wasting hours on repetitive spreadsheet tasks? Struggling to organize, analyze, or visualize your data efficiently? I help businesses turn Excel and Google Sheets into powerful, automated systems that save time, reduce errors, and deliver clear insights. ✅ I start every project by listening carefully. Every workflow is different, and I focus on understanding your exact needs before building a solution that directly solves your problem—not a generic template. ABOUT ME I’m a Certified Microsoft Excel Expert and Google Sheets Developer with 5+ years of experience, ranked in the top 10% on Upwork. I specialize in automation, data analysis, dashboards, and scalable spreadsheet systems that are easy to use and hard to break. CORE SKILLS • Spreadsheet Design & Automation • VBA & Macros • Google Apps Script & Add-ons • Dashboards & Data Visualization • Complex Formulas & Data Analysis WHY CLIENTS CHOOSE ME • Full-time Upwork professional • Fast communication (usually under 2 hours) • 100% client satisfaction with post-contract support • Clear explanations with documentation and videos • Friendly, reliable, and detail-oriented WHAT CLIENTS SAY ⭐ “One of the most professional freelancers I’ve worked with.” ⭐ “Very prompt, responsive, and delivered exactly what I needed.” ⭐ “Master at Excel and Google Sheets—super smart and reliable.” ⭐ “Delivered early after others failed. Highly recommended.” Looking for expert data analysis and insights to drive your business forward? You've come to the right place! ========================================================= My name is Hasan Nadeem, and I am a highly skilled Data Analyst. I specialize in leveraging advanced analytics and visualization techniques to turn raw data into actionable insights that boost business performance. ⭐ TOP RATED ⭐ ✔ Tools & Technologies: Python, R, SQL, Excel, Power Query, Appscript, VBA Tableau, Power BI, Looker Studio Apache Spark, Hadoop, Cloud (AWS, GCP, Azure) ✔ Data Analytics Expertise: Data cleaning, preparation, and transformation Descriptive, diagnostic, predictive, and prescriptive analytics Time series forecasting and segmentation Customer behavior analysis and KPI reporting ✔ Advanced Projects: Sales Forecasting: Improved sales planning accuracy by 45% with time series models. Healthcare Data Analysis: Enhanced patient care by 98% through data-driven insights. Fraud Detection: Achieved 95% accuracy using advanced data models. Customer Feedback Analysis: Boosted customer satisfaction by 94.2% through sentiment analysis. E-commerce Dashboard: Developed dashboards that increased conversion rates by 70%. ✔ Data Visualization: Transform complex data into intuitive dashboards and reports Automate real-time data tracking and reporting systems Create interactive visualizations for deep insights ✔ Proven Results: Delivered 100+ projects across healthcare, finance, e-commerce, and more Helped businesses increase revenue and optimize processes with data-driven solutions Let’s turn your data into a powerful tool for business success!

#Data Engineer ( Python, NodeJS, Shell, NoSQL, JSON) #BigData Environment (Hadoop, Kafka, Hive, Spark etc) #Data Pipeline and WorkFlow ( Airflow, Kedro, Luigi, Talend) #Web Appllication Developer ( PHP, React JS, Laravel) #CloudPlatform ( AliCloud & GoogleCloudPlatform) #HRIS Expert #HR Management #CRM ( SalesForce) #Cloud ServerLess using Fun Aliyun - AlibabaCloud #Python for Serverless As Data Engineer, My job description is create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using NoSQL and AliCloud ‘big data’ technologies ( Data Work as Datawarehouse, ApsaraDB for MongoDB, Max Compute and Object Storage Services(OSS) as Supporting, Build API Services using Function Compute with Docker Services. Another Platform ever used : DataVirtuality as a pipeline, Supermetrics as another supporting pipeline, Talkwalker as social Media Listener, BigQuery - Google Cloud Platform as a Datawarehouse and Tableau as Analytics side CRM Platform : Sales Force Marketing Cloud ( Administrator Role) Datawarehouse development using postgreeSQL for MAP Ecommerce Channel Project ( Lazada API, Shopee and blibli) develop pipeline using Python & ECS from Alicloud (Linux Based) BigData Tools : Meltano, Apache Airflow Implementation as WorkFlow Management, MetaBase as Visualisation, BigQuery as Datawarehouse and etc.

🔍 About me: I am representing a new, ambitious, and open to new challenges generation of highly motivated, skilled young professionals with an active life attitude, as well as current results and confirmed achievements. I'm looking for new professional opportunities and ambitious, cutting-edge Cloud projects to leverage my experience, ability to learn fast in order to help achieve great business results for my customers. I have been working as a DevOps as well as a Cloud Infrastructure Engineer for 6 years. My current experience is based on deep engagement with cloud infrastructure and solution architecture development projects. The key elements of my engagement had been related to setting up of automated cloud-based infrastructure by: - using infrastructure as a code - containerization - scripting and configuring CI/CD processes. I really love developing reliable and systematic architectures that can be understood by anyone. 📙My knowledge is particularly strong in EKS, RDS, ElasticBeanstalk, Lambda and ECS services. However, I can also boast that I have a lot of experience with other services as well: Computing: EC2, ECS, EKS, ElasticBeanstalk, Lambda. Database: RDS, DynamoDB, Aurora, DMS (for migration), ElasticCache and Redis. Storages: S3, ECR. Analytics: CloudWatch, Kinesis, Databricks, ElasticSearch. Applications Services: SWF, SES, SQS, SMS, Cloud Search. Security: IAM, WAF, KMS, Directory Service. Routing: API Gateway, Direct Connect, CloudFront, VPN, Route53, Load Balancer. ⚙️ Tech stack: Infrastructure as Code: Terraform, Ansible, AWS Cloud Formation. Continuous Integration and Delivery (CI/CD): GitLab CI/CD, GitHub Actions, Bitbucket Pipelines, Jenkins, CircleCI. Containerization: Docker, Docker-compose, Kubernetes. Operating Systems: Debian & RedHat. Databases: MySQL, Postgres, MongoDB. Monitoring: Grafana, Prometheus, ELK, Datadog. Scripting: Python and BASH. ❓Why me: If you need a specialist who fulfils their commitments at all costs. If you are looking for someone who can develop an architecture for your needs with any ratio of price and functionality, as well as train to work with it with clear documentation. Then contact me. Let's build a future together.

With over 15 years of experience across Australia and the UK, I specialize in financial reporting, risk analytics, and bilingual (Korean ↔ English) business communication. My professional journey spans leading financial institutions and big tech conglomerates, where I have: - Delivered automated financial and regulatory reports using SQL, Tableau, Alteryx, and Python - Managed APRA capital reporting, risk data pipelines, and provisioning for credit portfolios - Supported hedge fund compliance reporting (SEC Form PF, CFTC, AIFMD) across APAC, UK, and US - Conducted end-to-end analysis of operational and financial data to improve business efficiency - Translated and edited business proposals, reports, and financial content for stakeholders in both Korean and English I bring not only technical depth in financial systems and analytics (Hadoop, AWS, R, SAS) but also proven communication and documentation skills honed through consulting and stakeholder engagement. 💼 Services I Offer: - Business and financial report writing - Investment and risk analysis (incl. capital adequacy & market risk modeling) - Korean ↔ English translation (financial, technical, business) - Data visualization and automation (Alteryx/Tableau/SQL workflows) - Regulatory compliance support (APRA, SEC, AIFMD, CFTC) 🎯 I work directly on every project with full dedication and guarantee high-quality results, clear communication, and 100% client satisfaction. Let’s discuss how I can bring value to your next project.

I have over 15 years of experience in DevOps/Support/Implementation/Integration and DBA Skills : Operating systems: Sun Solaris, IBM AIX, HP UX, Redhat, Windows Server Database Management System: Oracle, Informix, DB2, MySql Others: Shell(Bash) scripting, Mysql Cluster and replication (Master - Master/Master - Slave/NDB/DRBD) and Informix cluster (HDR/RSS/SDS), Redhat clusters, DB2 Clusters (PureScale and Q-Replicaion), Java programming Python scripting, Tomcat administration, Windows power shell scripting,AWS/GCP/Azure, Redis, Mongodb, Cassendra, Dockers, kubernetes, Saltstack, Jenkins, CI/CD, Ansible

👋 Hi there! I’m Ammar, a highly skilled and experienced software engineer, entrepreneur, and the proud owner of my own software solutions company. With over 7 years of experience in the tech industry, my team and I have worked across a wide range of cutting-edge technologies. I’m passionate about delivering innovative solutions that exceed expectations. With expertise in the following areas, I’m confident that I can help you achieve your goals: 💻 Natural Language Processing (NLP) 🖼️ Computer Vision 🧠 Deep Learning R&D 📊 Knowledge Graphs 🌐 Web Development 📈 Customized Dashboards & Analytics 🔮 Forecasting & Prediction 🌍 IoT Services ☁️ Cloud Development & Deployment using AWS 📊 Big Data Projects (using tools like Apache Hadoop, Spark, Cassandra) 🔑 What sets me apart? Proven Track Record: I have a history of delivering successful projects on time and within budget. I prioritize collaboration, communication, and transparency to ensure that every solution perfectly fits our client's needs. End-to-End Solutions: From custom software applications to scalable cloud infrastructure, I specialize in delivering tailored solutions, including complex data analytics and cloud-based deployments. Client-Centred Approach: I take the time to understand your unique goals, ensuring a personalized service that aligns with your vision. I maintain open communication throughout the development process to keep you informed and involved at every stage. Continuous Innovation: Staying at the forefront of technology is a priority. I’m dedicated to R&D, constantly exploring new tools, techniques, and trends to enhance my services and provide even greater value. 🚀 Whether you're looking for expert help in software development, data analytics, or cloud infrastructure, I’m ready to collaborate and help you succeed. I believe that my success is tied to yours, and I’m committed to delivering exceptional service and value. Looking forward to the opportunity to work together and make your project a success! 🌟

I'm Syed Danish, an AI Full-Stack Engineer specializing in building intelligent, end-to-end AI applications that solve real-world business challenges. With a Bachelor's in Computer Science and currently pursuing my Master's at LUT University, Finland, I combine technical expertise with strategic thinking to deliver impactful solutions. As an AI Software Engineer I have designed and deployed 10+ POC applications and 6 production-ready projects using cutting-edge AI technologies. I work extensively with 3rd party and Open-Source Large Language Models like (Claude, ChatGPT, Llama, Gemini and Mistral) and Vision Language Models to create sophisticated AI solutions tailored to client needs. My experience spans the complete AI development lifecycle—from data engineering and analysis to machine learning model deployment. What I bring to the table: - Full-stack development expertise with React.js, Node.js, Python, and modern frameworks - Cloud infrastructure mastery on AWS, GCP and Azure with CI/CD implementation - Hands-on experience with Computer Vision, NLP, and Generative AI - Data engineering skills including. Data Warehousing, ETL pipelines using Apache Airflow, Pyspark, Hadoop - Data Analytics using Tableau, PowerBI, Grafana & Kibana. Following AI as my passion, I have leveraged AI to create innovative solutions that drive business value. Whether you need an intelligent automation system, a custom AI application, or a complete data pipeline, I'm here to transform your vision into reality. Let's build something amazing together!

I help organizations design, build, and scale production-grade AI systems that drive measurable business outcomes. With 15+ years of experience in software engineering, machine learning, and technical leadership, I have successfully delivered AI platforms, machine learning infrastructure, distributed systems, and cloud-native applications for startups, high-growth companies, and enterprise organizations. My background includes leadership and engineering roles at Quantcast, Oracle, Scotiabank, Moody's, and FreightSmart. I specialize in bridging the gap between business goals and technical execution, helping companies move from AI concepts and prototypes to scalable production systems. ================================================== AREAS OF EXPERTISE [ Generative AI & LLM Applications ] - Retrieval-Augmented Generation (RAG) - AI Assistants and Copilots - Agentic AI and Multi-Agent Systems - OpenAI, Anthropic, AWS Bedrock - LangChain and CrewAI - Prompt Engineering - Fine-Tuning and LoRA - Embeddings and Semantic Search - Knowledge Base Chatbots - Enterprise AI Solutions [ Machine Learning & Predictive Analytics ] - Forecasting Models - Recommendation Systems - NLP and Text Analytics - Classification and Regression Models - Customer Behavior Modeling - XGBoost - Scikit-Learn - PyTorch - Feature Engineering - Model Optimization [ AI Infrastructure & MLOps ] - Machine Learning Platforms - Model Training Pipelines - Model Serving Infrastructure - Kubernetes - Docker - Terraform - CI/CD Automation - Monitoring and Observability - Performance Optimization - Cloud-Native Architecture [ Backend & Data Engineering ] - Python - FastAPI - Java - Spring Boot - Apache Spark - Apache Airflow - Snowflake - PostgreSQL - DynamoDB - MySQL - Pinecone - pgVector - REST APIs - GraphQL - Microservices ================================================== SELECTED ACHIEVEMENTS • Built an enterprise Retrieval-Augmented Generation (RAG) platform using OpenAI Embeddings and pgVector, enabling natural language search across more than 100,000 operational records. • Developed AI-powered logistics agents that automate load creation, optimize driver assignments, and generate real-time operational insights. • Improved machine learning forecasting accuracy from 55% to 85% for a large-scale advertising platform, resulting in increased customer engagement and stronger business performance. • Led the migration of large-scale machine learning infrastructure from Hadoop/MapReduce to Spark and Airflow, significantly improving scalability, reliability, and development velocity. • Designed and delivered enterprise AI SDKs and NLP solutions adopted across multiple business units and products. • Built and managed cloud-native machine learning platforms supporting training, deployment, monitoring, and serving of production models. • Led and mentored teams of machine learning engineers and software engineers while driving technical strategy, architecture, and execution. ================================================== WHY CLIENTS WORK WITH ME Strong combination of hands-on engineering and technical leadership Deep expertise in Generative AI, Machine Learning, and Cloud Architecture Proven experience building production-ready AI systems at scale Ability to translate business objectives into practical technical solutions Focus on scalability, maintainability, security, and cost efficiency Clear communication, ownership, and reliable delivery ================================================== Whether you need a Generative AI application, RAG platform, intelligent agent system, machine learning solution, AI infrastructure, or a complete end-to-end product, I can help architect, build, and scale the solution from concept to production. Let's discuss how AI can create real business value for your organization.

Back-end Engineer with with 4 year experience. Strong foundation in cloud computing (AWS, GCP) and hands-on experience in Big Data (Apache Hadoop, Apache Spark), Machine Learning and Distributed Computing.. Python is among my strongest suits with experience in C++, Java, C# ,HTML, CSS, JavaScript, Django, Flask, Node.js, PyQt5, . Excellent academic background with special interest in problem solving and coding.

You probably think clicking "deploy" on Databricks from the cloud marketplace is all it takes to build a modern data stack. Instead, you get unmanageable infrastructure, skyrocketing costs, and pipelines feeding reports nobody trusts. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁. 𝗡𝗼 𝗮𝗴𝗲𝗻𝗰𝗶𝗲𝘀, 𝗻𝗼 𝗯𝗹𝗼𝗮𝘁. Just a multi-certified, 5+ years of experience Cloud Solutions Architect building automated, high-integrity platforms that turn raw data into a competitive advantage. If you shoot me a invitation or message I'll send you a personalized Loom video back on how I may be able to help you; and of course, to prove that I'm the real deal, 𝗻𝗼 𝗔𝗜 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱! Whether you are building a greenfield lakehouse from scratch or migrating legacy systems to the cloud, I architect efficient, cost-effective environments that scale without the overhead. I understand the business bottom line just as well as the underlying code. ✪ 100% Job Success Score | 5.0★ average ✪ Proven experience on multi-cloud architectures 💡 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: • 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I build production-ready environments using Terraform. No manual marketplace or standard deployments that break at scale. • 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Raw data becomes actionable. I build resilient Medallion architectures and automated ETL/ELT pipelines so your stakeholders actually trust the numbers. • 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟𝗢𝗽𝘀: I bridge the gap between data engineering and machine learning. Using MLflow and Databricks Model Serving, I operationalize models into scalable, real-time REST endpoints and automated streaming inference pipelines. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Proper data governance utilizing Unity Catalog (no legacy Hive metastores) to ensure your data is accessible, secure, and future-proof. • 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Most companies overspend on cloud infrastructure. I architect systems that pay for themselves in weeks by eliminating overhead and inefficiencies with efficient auditing and monitoring features. ✅ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 (𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱): • Databricks Professional Data Engineer • Databricks Associate Data Engineer • Databricks Lakehouse Fundamentals • GCP Professional Data Engineer • GCP Associate Cloud Engineer • GCP Cloud Digital Leader • AWS Associate Solutions Architect • AWS Cloud Practitioner 🔧 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀: Workflows, LDP (Lakeflow Declarative Pipelines), Unity Catalog, Workflows, Databricks SQL, MLFlow. • 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗔𝗪𝗦): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis, and Data Streams. • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗚𝗖𝗣): Bigquery, Dataform, Composer, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Looker Studio. • 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲: Data Factory, Synapse, and Storage Account. • 𝗢𝘁𝗵𝗲𝗿𝘀: Terraform, dbt, Airflow, Airbyte, Hadoop, and Hive. ⚙️ 𝗖𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗥𝗼𝗹𝗲𝘀: Data Architect, Data Engineer, Solutions Architect, Platform Engineer • 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Databricks (Delta Lake, Unity Catalog, Lakeflow, Workflows), BigQuery • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Infrastructure as Code (IaC), Terraform, Multi-Cloud (AWS, GCP, Azure) • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Medallion Architecture, Data Lakehouse, Data Governance, Data Quality, Machine Learning • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: PySpark, Python, SQL, dbt, Apache Airflow, ETL/ELT, CDC, Batch and Stream Processing