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✅ System Bottlenecks Cost You Revenue. I Build Zoho Systems That Scale Your Business. ✅ Most Zoho implementations fail not because of the software, but because they are configured without an understanding of business workflows. A poorly structured CRM leads to uncontacted leads, invisible operational delays, manual data double-entry, and low team adoption. I am a Zoho Systems Architect and Automation Specialist. I transform disjointed, manual business processes into fully automated, enterprise-grade Zoho ecosystems. Whether you need complex custom Deluge logic, multi-platform API integrations, or a complete ground-up CRM architecture, I design systems built for speed, accuracy, and scale. ### Core Zoho Expertise : ✔️ Zoho One Architecture: Zoho CRM, Zoho Creator, Zoho Books, Zoho Desk, Zoho Analytics, Zoho Flow, Zoho Bookings, Zoho Campaigns ✔️ Advanced Customization: Custom Modules, Blueprint Workflows, Assignment Rules, Layout Rules ✔️ Custom Development: Deluge Scripting, Custom Functions, Scheduled Jobs, Webhooks ✔️ API Integrations: Twilio, GoHighLevel, HubSpot, WordPress/GTM, Stripe, QuickBooks, OpenAI ✔️ Business Intelligence: Advanced Analytics Dashboards, KPI Reporting, Pipeline Forecasting ### Proven Case Studies & Results : ▶ Healthcare & Multi-Centre Clinic (Zoho CRM + Bookings + Books) The Problem: Handover between sales and scheduling teams had zero tracking. Paid clients waited over 24 hours to be scheduled, causing drop-offs. Active therapy clients stopped attending sessions undetected due to siloed data across CRM and Bookings. ✅My Solution: I developed a 24-hour time-based escalation script in Deluge triggered on payment confirmation. I architected a daily automated therapy gap detection job that scans CRM and Zoho Bookings data to flag inactive clients and generate location-aware digests for branch coordinators. The Result: Reduced post-payment scheduling lag to under 2 hours and recaptured 35% of churning therapy clients within the first month. ▶B2B Commercial Real Estate & Title Company (Zoho CRM + Quo + M365) The Problem: Disorganized lead categories, unlogged client communications (calls/SMS), and lack of visibility into complex multi-party transaction pipelines (Buyers, Lenders, Escrow, Attorneys). ✅My Solution: I created a blueprint design mapping 20+ contact categories across custom modules and relational data structures. I integrated VoIP/SMS endpoints to auto-log call transcripts, SMS history, and AI summaries into lead timelines. I built automated milestone sequences for new title orders, follow-up alerts, and concierge task escalation. The Result: 100% communication logging compliance across operations and a 40% reduction in manual transaction administration. ▶Dynamic Call Tracking & Marketing Engine (Zoho Flow + Twilio + WordPress + GTM) The Problem: Inability to track high-value phone leads generated from paid ads vs. organic search, causing inaccurate ad-spend reporting. ✅My Solution: I built Dynamic Number Insertion (DNI) session persistence scripts via Google Tag Manager and Twilio API. I extended Zoho Flow to map traffic sources, session parameters, and call logs directly into Zoho CRM lead records without interrupting live phone queues. The Result: Complete closed-loop attribution for marketing channels, enabling precise ROI tracking on ad spend. ### How I Work With You : ► Discovery & Blueprint: I map your business processes, user roles, custom data models, and integrations before writing a single line of code. ► Build & Test: Agile deployment with full test cases demonstrated in a staging/sandbox environment. ► Handover & Support: Complete technical documentation, individual user walkthroughs, and post-go-live bug support. Ready to fix your operational gaps and build a scalable Zoho ecosystem? Click 'Invite to Job' or 'Contact Me' to discuss your project.

Hi, I am Tuhin Banik, a Digital Marketing and SEO Specialist with 15+ years of experience in search engine optimization, search engineering, and advanced AI-driven search strategies. Over the past decade and a half, I have built deep expertise in technical SEO, semantic search, algorithm analysis, and data-driven optimization frameworks that help businesses achieve sustainable organic growth. Currently, I serve as a Search Engineer and Search Scientist at ThatWare, where I work on advanced search algorithm research, Natural Language Processing (NLP), machine learning applications in SEO, and AI search modeling. I have worked with startups, SMEs, enterprise businesses, and global brands, helping them increase their search visibility, organic traffic, and conversion performance through advanced SEO methodologies. In addition to traditional SEO, my work also focuses on next-generation AI search optimization frameworks, including: LLM SEO (Large Language Model Optimization) AEO (Answer Engine Optimization) GEO (Generative Engine Optimization) CRSEO (Cognitive Resonance Search Optimization) QBM (Quantum Brand Modeling) AIESEO / AIEO (Artificial Intelligence Experience Optimization) These frameworks help businesses adapt to AI-driven search ecosystems where brand visibility depends on AI recommendations, trust signals, and cognitive decision models rather than just rankings. Advanced On-Page SEO For advanced on-page SEO, I can help with: Keyword research (KOB, VSO, long-tail strategy) Competitor and SERP gap analysis Metadata optimization with LSI and semantic signals Content structure and entity-based optimization XML and HTML sitemap implementation Robots.txt configuration and crawl management Canonical and duplicate content resolution Broken link fixes and redirect management (3XX & 4XX) Image optimization and media SEO Accelerated Mobile Pages (AMP) implementation Deep analysis using Cora, Screaming Frog, and Sitebulb Webmaster & Technical SEO Support I can assist with advanced webmaster and search console optimization: Crawl issue diagnosis and resolution DNS monitoring and website security checks Disavow link monitoring Index and de-index management XML sitemap verification and submission Rich structured snippets and schema implementation Microdata and structured data testing Googlebot monitoring and crawl analytics Server status code monitoring and fixes Security issue identification and resolution Search traffic monitoring and crawl statistics analysis Technical SEO Optimization For technical SEO, I provide deep optimization including: Comprehensive technical SEO audits Yoast SEO configuration Structured data and schema implementation CDN implementation Page speed optimization (Google PageSpeed Insights, GTMetrix, Pingdom) JavaScript, CSS, and HTML minification Browser caching and compression (gZIP) Image and resource optimization Core Web Vitals improvements Deep diagnostics using SEMrush, Sitebulb, GTMetrix, and PSI Advanced Link Building My link-building expertise includes: Traditional off-page SEO strategies Web 2.0 and link wheel frameworks Trust Flow and Citation Flow optimization Referring domain and IP diversification High-authority backlink acquisition Link profile auditing and disavow monitoring Analytics & Data Tracking For analytics and performance measurement, I can help with: Google Analytics integration Google Tag Manager implementation Custom event and conversion tracking Funnel tracking and segmentation Bot traffic monitoring Custom URL builder creation and tracking Integration between Analytics, AdSense, and Google Ads Conversion goal setup and reporting Semantic SEO & NLP Optimization My expertise also includes semantic search and Natural Language Processing optimization, including: LDA Cosine similarity modeling Jaccard Index calculations Keyword clustering and semantic grouping Sentiment analysis Entity-based Knowledge Graph optimization RankBrain-oriented structured data strategies Tiered indexing and cluster pruning Information retrieval-based SEO methodologies LLM SEO, AEO & GEO Optimization Modern search engines increasingly rely on AI-generated responses and conversational search systems. I help businesses optimize for: Large Language Model visibility AI answer engines Generative search platforms AI recommendation systems Knowledge graph integration Entity-based content architecture AI-driven search inclusion The goal is not just ranking in search results, but ensuring that AI systems mention, reference, and recommend your brand in generated answers. CRSEO (Cognitive Resonance Search Optimization) CRSEO is a framework designed to align human intent, AI reasoning, and brand psychology. Traditional SEO focuses on keywords and rankings, but CRSEO optimizes deeper cognitive layers such as: Emotional intent vectors AI logical reasoning paths Persuasive answer sequencing Risk avoidance signals Authority and confidence triggers Social proof reinforcement Thank You!

Hi, I'm Robin Singh — a Media Monitoring & Analysis Specialist with 10+ years of experience. I help brands, agencies, and startups track their media presence, monitor competitors, and turn data into actionable insights using Cision and other tools. My Services: - Media Monitoring (News, Blogs, Social Media) - Competitor Analysis & Benchmarking - Social Listening & Trend Analysis - Daily / Weekly Media Reports - Sentiment Analysis & Brand Reputation Tracking I deliver accurate, well-structured reports with real-time insights and actionable recommendations. Let's work together to turn information into strategy.

🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $600K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

Hi, I'm Sabir Ali! I'm a highly skilled Data Annotator/Labeler with over 4 years of experience working at a reputable data labeling company. I have a deep understanding of data labeling processes and a proven track record of success, having completed over 100 data labeling projects. I'm also adept at handling pilot projects and ensuring their smooth execution. I'm proficient in using a variety of data labeling platforms, including Labelbox, V7 Darwin, AWS SageMaker, and Dataloop. My familiarity with these tools allows me to deliver high-quality labeled data efficiently and meet your specific project requirements. I'm confident in my ability to be a valuable asset to your team. Feel free to reach out to discuss your project and how I can contribute! Key Skills: Data Annotation/Labeling Data Labeling Best Practices Pilot Project Management Labelbox V7 Darwin AWS SageMaker Dataloop Benefits of Working with Me: Accuracy and Attention to Detail Experience with Diverse Data Types Efficiency and Speed Area of Expertise: -Data Labeling and Annotation -Image Labeling and Annotation -Video Annotation and Labeling -Audio Annotation and Labeling -Text Labeling and Annotation -Text and Image Classification -Object Detection for Computer Vision -Sentiment Analysis -Quality Control and Assurance -Data Pre-processing -Bounding Box annotation -Polygons Annotation -Semantic Segmentation -3D Cuboid Labeling -Key points Annotation -Tagging with lines and splines -Data Tagging and Classifications

I have 6+ years experience as an ML/NLP Engineer. I worked with Micro1 where we developed a smart networking app which was aimed at encouraging and reconnecting old friends to meet where an AI bot came up with plans matching friends and planning the outing based on preferences. I managed the entire ML framework for this app combining Gen AI tools with ML algorithms for matching. I have experience with finetuning gen AI tools, RAG, using copilot to enhance code. I worked with a company to develop a virtual assistant using gpt 3.5 and pincone with the help of langchain using RAG I have worked on various data extraction and classification models. I work on Python and have worked with various libraries, Spacy, scikit learn, pandas, numpy being a few. I have been working remotely for the last 5 years so I am familiar with working on projects on remote servers and version control through git. I have a Masters Degree in Computer Science from the University of Southern California.