Oracle Pl Sql Projects

Lead Generator, Fundraiser, Networker Required

Hi there. I need someone who is skilled at finding and approaching Investors being anything from HNW's, to Accountants, to Wealth Managers, to normal Individuals to raise funds for my business. I will supply the business info and pitch deck, you will find the investors. It may well be that crowdfunding works, but this is where your skills come in. You probably need to be UK based for ease of communications. Pls only respond if you have the skills and knowledge. Regards David

Data analysis

Seeking an experienced data analyst to perform comprehensive data analysis, including cleaning, transformation, exploratory analysis, statistical testing, and insightful visualization. Deliverables include documented code, clear summary of findings, actionable recommendations, and reproducible reports. Candidate should demonstrate strong proficiency in Python or R, SQL, and data visualization libraries, with attention to data integrity and effective communication of results. Timely delivery and iterative collaboration expected.

PART-TIME FREELANCE ROLE Claude Architect — Fleet Tech Platform

Part-time freelance Claude Architect for Fleet Tech Platform: Join a project building a petroleum tanker fleet management system powered by Claude AI. Seeking a technical partner to deploy Claude’s outputs rather than write code from scratch. Requirements: advanced Claude/ChatGPT prompting skills, GitHub proficiency (uploading, browser edits, commits), ability to read server logs and diagnose errors, basic web app knowledge (frontend, backend, database), SQL (queries, ALTER TABLE, INSERT), and clear written English for async communication. Bonus: Node.js/Express, advanced PostgreSQL, maritime domain knowledge, deployment experience on Railway/Heroku.

opportunity

Simplifying our Master pricelist

We require an expert to streamline our Master pricelist spreadsheet. The workbook contains extensive data, numerous VLOOKUP operations, and synchronization with our Sage database via the "Sage Data" sheet. Despite a reduced upload copy, the file remains sluggish—taking over a minute to open and delay when saving/closing. Deliverables: optimize formulas, restructure for performance, implement efficient lookup/indexing strategies or Power Query/SQL alternatives, and provide a lean, responsive workbook with documented changes and recommendations.

Data Engineer(Salesforce CRM)

We are looking for an experienced Data Engineer to help clean, standardize, and structure large volumes of real estate and regulatory compliance data. This role focuses on transforming messy, inconsistent datasets into a reliable and scalable data foundation that supports reporting, compliance tracking, and future automation. You will work closely with our business and technical teams to understand data logic, resolve inconsistencies, and design a clean, structured data environment. Responsibilities -Review and analyze existing datasets (leases, units, tenants, occupancy, rent, compliance) -Identify inconsistencies, duplicates, and missing or conflicting records -Standardize naming conventions, unique IDs, and relationships -Clean and transform data from spreadsheets, CSVs, and system exports -Build master datasets for properties, units, tenants, and leases -Develop repeatable data-cleaning workflows or pipelines -Implement data validation and quality checks -Create documentation (data dictionary, mappings, business rules) -Generate exception reports for data issues requiring review Required Skills -Strong experience with SQL and Python -Experience with ETL / data transformation workflows -Solid understanding of data modeling and relational databases -Experience cleaning messy, multi-source datasets -Strong knowledge of data validation and data quality practices -Ability to work independently and communicate clearly

Data engineer

We are seeking an experienced Data Engineer to help organize, clean, and structure complex real estate and regulatory compliance data across multiple sources. This role focuses on transforming inconsistent datasets related to leases, occupancy, tenants, and rent information into a reliable and scalable data foundation. The ideal candidate will review existing data, identify quality issues such as duplication and missing fields, and design standardized schemas and relationships. You will build transformation workflows to clean and normalize data from spreadsheets, databases, and system exports. In this role, you will create master datasets for properties, units, households, leases, and compliance tracking while implementing validation rules and exception reporting. You will also document data definitions, mapping logic, and business rules to support transparency and long-term maintainability, while collaborating with stakeholders to translate operational requirements into structured data models. Strong proficiency in SQL and Python is required, along with hands-on experience in ETL/ELT workflows and relational data modeling. Experience working with messy, Excel-heavy datasets and building data quality checks is essential, and familiarity with tools like dbt, Airflow, or cloud platforms such as Snowflake or BigQuery is highly preferred. Success in this role means delivering a clear, consistent source of truth for lease and occupancy data, reducing inconsistencies, and preparing the data environment for reporting, automation, and future product development.

Data scraping for influencers (automation)

Hello I’m looking for data for a specific set of influencers Specifically for influencers with 75K+ followers on Instagram or 50k subs on YouTube With an audience over 40 The influencer will be speaking on topics like financial planning, many wellbeing categories. Pls tell me how you would do this and how much you’ll charge for the data Also can we verify the engagement rate? Say per 1,000 emails and verify the emails? A Python script using the YouTube Data API v3 (free, official) and Phantombuster (Instagram) to automatically search, filter, and export influencer data to a Google Sheet or CSV. YouTube (API — Free & Clean) Use: YouTube Data API v3 Script logic: 1. Loop through keyword list 2. Search type=channel for each keyword 3. Pull channel details: name, URL, subscriber count, description, email (regex parse from description) 4. Filter: subscribers between 50,000 and 500,000 5. Export all results to CSV Keywords to loop: retirement planning lifestyle retirement vlog over 60 grandparenting tips grandma empty nest life over 50 pickleball over 50 senior fitness over 60 menopause health women over 50 midlife women wellness caregiver aging parents RV retirement full time gardening over 50 vegetable men's health over 50 medicare senior health Christian women over 50 faith retirement lifestyle active aging senior Output columns: Channel Name | URL | Subscribers | Email | Description snippet | Keyword searched Instagram (Phantombuster) Use: Phantombuster Instagram Hashtag Scraper + Profile Scraper (client will provide API key and session cookie) Script/phantom logic: 1. Run Instagram Hashtag Post Scraper on each hashtag below 2. Pull 500 posts per hashtag → extract unique profile URLs 3. Feed profile URLs into Instagram Profile Scraper 4. Extract: username, follower count, bio text, email from bio, website URL 5. Filter: followers 50,000–500,000 6. Export to CSV Hashtags to scrape: #retirementplanning #retirementlife #retireearly #grandparents #grandmalife #nanalife #grandpalife #emptynesters #lifeafterkids #over50life #pickleballlife #activeaging #seniorfitness #womenover50 #menopause #midlifewomen #caregiverlife #agingparents #seniorcare #rvlife #fulltimerv #retirementtravel #vegetablegarden #gardeningover50 #growyourown #menshealth #healthyaging #over50fitness #medicare #seniorliving #agingwell #christianwomen #faithoverfear #christianliving Output Format Single CSV, one row per creator: Platform | Handle/Channel | URL | Followers | Email | Bio/Description | Category | Source Keyword Filtering Rules (build into script) ∙ Followers: 50,000–500,000 only ∙ Skip accounts with 0 posts or last post over 60 days ∙ Skip accounts where bio contains: “under 18”, “teen”, “student”, “college” ∙ Flag rows with no email (for Apollo enrichment pass) ∙ Deduplicate on URL before export Deliverable

I need an experienced AI engineer

We are hiring a Senior AI Engineer to own and accelerate AI capabilities across the platform — from customer-facing features to internal agentic workflows and production-grade AIOps. This is a high-impact, hands-on role where you will shape the next generation of AI systems and directly influence customer experience, product velocity, and operational efficiency. The Opportunity You will lead development across three core pillars: - AI Product Engineering – Ship core AI-powered features — intake, scheduling, session notes, billing automation, and more. - AI Foundations / Enablement – Build reusable primitives, evaluation tooling, and golden paths. - Agentic Workflows & AIOps – Create AI agents that automate operational work and support internal operations. What You’ll Do AI Product Engineering (Customer-Facing Features) - Build AI features end-to-end: requirements → design → implementation → rollout → evaluation. - Implement LLM-backed workflows including summaries, extraction, structured output, copilots, billing scrubbing, and guided automation. - Collaborate across Product, Design, QA, and Clinical SMEs. Own AI-powered improvements across: RCM, scheduling, intake, documentation, reporting, customer support automation. AI Foundations / Enablement - Create reusable AI primitives: prompt templates, agent patterns, tool schemas, safety guardrails, retrieval modules. - Build evaluation harnesses and continuous regression testing. - Enable developer productivity via AI coding tools and best practices. - Establish “golden paths” for consistent and safe AI feature delivery. Agentic Workflows & AIOps - Develop in-platform agents for billing checks, eligibility validation, claim scrubbing, data cleanup, workflow routing, and anomaly detection. - Build AIOps capabilities: incident summaries, RCA suggestions, intelligent alerts, correlation. - Integrate with telemetry systems for intelligent operations. LLMOps / Production-Ready AI - Implement monitoring, cost governance, retries, fallbacks, and safe-mode behavior. - Own prompt/model evaluation frameworks and online QA metrics. - Ensure HIPAA-aligned data flows: privacy controls, redaction, audit logs, PHI boundaries. Data & Infrastructure - Build vector stores, embeddings, retrieval workflows, and knowledge bases. - Partner with data engineering for eval datasets and rulesets. - Contribute to scalable infrastructure for AI agents and async workflows. Tech Stack - AI Platforms: Azure OpenAI, OpenAI, Anthropic, Bedrock - Frameworks: RAG, agents, orchestration - Backend: .NET, Node.js, Python - Data: SQL Server, Postgres, Redis, vector databases - Observability: Grafana, Loki, Prometheus, OpenTelemetry - Cloud: Azure, AWS, Docker, Kubernetes - AI Dev Tools: Copilot, Claude Code, Cursor, Kiro What You Bring - 5–10+ years building production software systems. - Hands-on experience delivering LLM-powered features or AI agents. - Strong engineering fundamentals. - Experience with LLMOps, safety, monitoring, evaluation. - Strong cross-functional communication. - Healthcare / HIPAA experience a plus. - Fluent English