Hire the Best Data Scientists in Bengaluru, IN

Once an Astrophysics Researcher, now a 3× AI Founder. I turned curiosity about the universe into AI systems that drive measurable business outcomes. I’m Vivekjyoti Bhowmik, Founder of TOINGG an AI Communication OS and PGAGI, an AI consultancy building production-grade AI systems for businesses across the US, UK, GCC, UAE, Australia, and India. Over the last few years, my team and I have built 80+ AI systems across industries. - Real production systems with users, revenue, workflows, and business impact. We specialize in building AI systems that are: → Enterprise-grade → Multi-tenant → Scalable → Secure → Integrated into real business operations → Built for ROI, not experimentation One of the platforms we helped build, Branify, crossed 50,000+ live users within one month of launch in 2026 may. Across our portfolio, more than 70% of the products we’ve built are live, used by real customers, and have paying users. Today, we don’t just “build AI.” We implement AI into business workflows to generate ROI within 90 days. What We Actually Do We design and deploy AI systems that replace manual work, increase conversion, and reduce operational load. → Turn inbound leads into qualified meetings automatically → Replace repetitive operations with AI-driven workflows → Build AI systems on top of your existing stack — CRM, WhatsApp, ERP, databases, spreadsheets, and internal tools → Create decision systems that improve revenue, not just dashboards → Build scalable AI products with multi-tenant architecture, role-based access, usage tracking, and production monitoring Real Business Impact ✅ AI Communication System — TOINGG handles high-volume AI calling workflows with scalable infrastructure and 99.9% uptime focus ✅ Branify — 50,000+ live users within one month of launch ✅ Outreach System — 200 cold messages converted into 8 qualified meetings and $7million sales in pipeline ✅ Global Clients — US, UK, UAE, GCC, Australia, and India ✅ 70%+ of products built are live with real users and paying customers Revenue & Sales Systems We build AI systems that help businesses convert more leads without increasing manual workload. Examples: → Lead comes in → AI qualifies the lead → Tags them as HOT / WARM / COLD → Books a call → Updates CRM → Hands off to the sales team only when needed This helps your team focus on high-value conversations instead of repetitive follow-ups, lead sorting, and data entry. Operational Automation We automate internal workflows that usually consume hours of manual work. Examples: → PDFs, Excel files, emails, and forms processed automatically → Data cleaned, structured, and pushed into CRM / ERP / Google Sheets → Missing data, delays, or incorrect entries detected in real time → Alerts and tasks triggered automatically → Humans involved only for approvals, exceptions, and critical decisions Data → Decisions We build AI systems that execute and make desicions. They trigger action. → Forecasting → Automated reporting → Business intelligence with execution layer → Decision support systems → AI dashboards connected to workflows Custom AI Products For founders, startups, and growing businesses, we build complete AI products from scratch. This includes: → Multi-agent architectures system → Multi- model RAG pipelines (scalable) → Enterprise-grade SaaS platforms → Multi-tenant backend systems → AI workflow automation → Role-based dashboards → Voice AI and communication systems → Scalable APIs and infrastructure We Are a Fit If ✔ Your business is doing minimum $1million in ARR ✔ You already have operations running — 20 people team, leads, data, customers, or workflows ✔ You want to implement AI into real business processes ✔ You need scalable, production-grade systems ✔ You care about outcomes, speed, and execution Not a Fit If ✖ You are exploring AI just to try it ✖ Price matters more than business outcome ✖ There is no clear use case or objective ✖ You are not ready to execute fast Why Founders Work With Us → We think like partners, not developers → We focus on outcomes first, AI second → We build systems that integrate into your business, not sit outside it → We understand product, architecture, AI, and business ROI together → We have experience building systems used by millions of real users If you are looking to increase revenue, reduce manual work, or scale operations using AI, message me. We’ll map your workflow, identify the ROI opportunity, and show you exactly what should be built.

🏆 TOP RATED PLUS || Top 1% on Upwork || 8+ Years of Experience || 100% Job Success || Expert Vetted Most data teams are held back by unreliable pipelines, untrustworthy warehouses, and data infrastructure never built to scale. That's exactly what I fix. As a Senior Data Engineer, I don't just write SQL and call it a pipeline. I architect end-to-end data systems where reliable ingestion feeds into clean, versioned transformations that power decisions your business can act on. My approach prioritizes fault tolerance, scalability, and observability across both batch processing and real-time analytics workloads. This ensures your data infrastructure is not just functional, but resilient and audit-ready. Whether you need cloud data migration, data platform modernization to a Modern Data Stack (Snowflake/dbt/Airflow, Microsoft Fabric), or streaming analytics infrastructure, I deliver production-grade systems that help technical founders and data teams eliminate pipeline debt, automate complex data workflows, and build scalable infrastructure ready for AI workloads. ------------------------ Where I make the biggest impact: ✅ I lead data migration and data platform modernization projects, replacing brittle ETL and ELT pipelines with a Modern Data Stack built on Snowflake, dbt, Airflow, and Microsoft Fabric. ✅ Every engagement includes Medallion Architecture design, full test coverage, CI/CD for data models, data lineage tracking, and documentation that outlasts the project. ✅ I design data pipelines for both batch processing and real-time analytics, idempotent, schema-drift tolerant, and monitored through data observability frameworks, so failures are caught before they reach your stakeholders. ✅ Warehouse models are built to serve the business: Star Schema, dimensional modeling, dbt projects, analytics engineering best practices, and a metrics layer backed by a data catalog and metadata management. ✅ I architect distributed systems for big data and streaming analytics, including Kafka, Flink, Spark Structured Streaming, exactly-once semantics, dead-letter queues, and end-to-end latency guarantees. ✅ AI data pipelines are engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ✅ I bring governance to data platforms through data mesh, data catalog implementation, metadata management, and data integration across systems. ✅ Data quality and data reliability are enforced end to end, with automated frameworks, SLA monitoring, auditable lineage, and observability that catches bad data before it reaches your stakeholders. ✅ I build AI-ready data infrastructure and lakehouse foundations, Delta Lake, Apache Iceberg, cloud data architecture, and CDC pipelines for near-real-time sync. ✅ Cloud data migration is handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime. ------------------------ What I Build With: 🗄️ Warehouses, Lakehouses & Data Lakes: Snowflake, BigQuery, Redshift, Databricks, Microsoft Fabric, Delta Lake, Iceberg ⚙️ Transformation: dbt (Core & Cloud), SQLMesh, Spark, PySpark, Star Schema, Medallion Architecture 🔁 Orchestration: Airflow, Dagster, Prefect, Azure Data Factory, Microsoft Fabric 📨 Streaming: Kafka, Kinesis, Pub/Sub, Flink, Fabric Eventstream 🔗 Ingestion: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, CDC pipelines ☁️ Cloud: AWS, GCP, Azure 🐍 Languages: Python, SQL (SF, BQ, T-SQL, PL/pgSQL), FastAPI 🗃️ Databases: PostgreSQL, MySQL, SQL Server, DynamoDB, MongoDB 📊 BI & Reporting: Looker, Tableau, Power BI, GA4, Metabase, Superset, Streamlit, Grafana ------------------------ What Clients Say: ⭐ "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS ⭐ "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm ⭐ "Adarsh built our entire data platform from the ground up. Clean architecture, solid dbt models, and Airflow pipelines that have been running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup ⭐ "We came to Adarsh with a Spark pipeline that was costing us a fortune and delivering stale data. He identified the bottlenecks, restructured the workflow logic, and reduced our processing time by 70%. Technically sharp, communicates clearly, and delivers without hand-holding." – Leo, Head of Analytics, HealthTech SaaS ------------------------ 🚀 Let's Build Your Data Foundation. If your data infrastructure needs to be faster, cleaner, and trustworthy, send a quick message about your project, and I'll take it from there.

Most teams track too much and learn too little. I help SaaS and product teams make sense of their data using Mixpanel, Amplitude, and GA4; from event tracking to tool implementation, funnel analysis, retention, A/B tests, etc. 🧠 I can help you: 1. Choose the right data infrastructure & tools for your stage and goals 2. Decide what to track, how to track it, and ensure clean, consistent data 3. Evaluate Mixpanel vs Amplitude vs GA4 vs Data Studio for your use case 4. Translate business goals into measurable KPIs and analytics frameworks 🧩 Core Expertise 1. Product Analytics Setup & Strategy (Mixpanel, Amplitude, PostHog, GA4) 2. Funnel, Cohort & Retention Analysis 3. SQL • BigQuery • CDP • Looker Studio Dashboard • PowerBI Dashboard 4. Event Taxonomy, Tracking Plans, Attribution, Data Engineering, Data Visualisation, KPI dashboards 🤝 Why Work With Me 1. Deep understanding of product, tech & business. Not just a freelancer, an advisor and well-wisher. 2. Structured, responsive, and outcome-focused 3. Turn data into clear, actionable growth levers 🏆 Notable Projects London Dating App — Designed entire data infrastructure, starting from Mixpanel to then configuring reporting using Segment, BigQuery, dbt, and Looker Studio (eventually moving to Power BI) Piktochart.com — Mixpanel implementation for product managers and cxos Digitail.com — Elaborate Looker Studio report for clinics across the US to keep track of their pet patients, staff, and clinic operations Guidde.com — Event tracking using server-side and cross-domain tracking to address 65% missing data. Spruce — Complete event tracking plan for the mobile and web app, followed by PostHog report configuration to help the sales team identify customers most likely to book their next clean session Rewards Flight Finder — App events tracking for android / apple and website followed by configuring Amplitude analytics for aligning team members on the company direction SignLab — Defining the data stack, followed by important events to track, ensuring the correctness of the tracking. To finally design detailed MixPanel dashboards, onboard the team and give growth team the direction for improving retention metrics. 10+ years building full modern data stacks for startups to Fortune 500s Book a consultation call today to explore if we can collaborate. 🤝

⭐⭐⭐⭐⭐ 5.00 across 200+ Jobs🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 (𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁) 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 (𝗣𝗟𝟯𝟬𝟬 💎 Top Rated PLUS, Trusted by 200+ clients, 9600 + 🅷🅾🆄🆁🆂 worked, )High-quality outcomes & your trusted companion for the long-term data journey. 12+ Yrs of immense ex 🏅 Top 1% of Tableau Developers 🏅 Top 1% of PowerBI Developers Open for a long-term opportunity 15+ years of immense experience in building 200+ solutions and implementing in QlikView Domo, Klipfolio, and Tableau, Power BI projects single-handedly. I also have sound knowledge of ETL, Datamining, data fetching, Oracle database, Google Analytics, Social media analytics. I am also Tableau sales accreditation certified and attended tableau basic and advanced paid training certification as well. I also have snowflake core certification, and also Klipfolio certified expert, please visit my certification section for more info. Skillset: ✅ Tableau ✅ Klipfolio ✅ Qlikview ✅ Domo ✅ Google data studio ✅ Sisense ✅ Looker ✅ Power BI ✅ Click data ✅ AWS Quick sight ✅ Google analytics ✅ Tealium ✅ Airtable ETL Tools: ✅ Azure DataFactory ✅ AWS Glue ✅ Alteryx ✅ Integromat/Make ✅ Knime ✅ Power Automate Databases: ✅ SQL Server ✅ Oracle ✅ Hadoop impala/hive ✅ Mongo DB ✅ Postgres Sql ✅ Snowflake/Amazaon RDS 💎 Top Rated PLUS | 🕐 Fast Turnaround 🌟WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Client Reviews ✅ Communication ✅ Mastery 🟢 GO GREEN 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸🟢 Cloud: Azure (Data Factory, Synapse, Fabric), GCP (BigQuery, Dataflow), AWS Languages: Python, SQL, R, Scala, DAX, JavaScript Orchestration: Airflow, dbt, Prefect, Kafka, CI/CD, Git BI: Power BI, Looker Studio, Tableau, QlikView, Excel/Power Pivot AI/Automation: Clawdbot, Moltbolt, Openclaw, LangChain, n8n, Make, Zapier, Pinecone CERTIFICATIONS 🏅 Tableau Desktop Specialist Certified 🏅 Tealium Specialist Certified 🏅 Microsoft Certified: Power BI Data Analyst 🏅 Google Data Studio Certified 🏅 Alteryx Designer certified 🏅 Microsoft Certified Professional (MCP SQL) 🏅 Excel and Spreadsheets Expert 🏅 Zoho and Looker Expert 🏅 D365 CRM and SharePoint Expert 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱: - Engineered ETL pipelines processing 50M+ events/day across GCP, Snowflake, and BigQuery - Delivered a $47K enterprise AI + web application rated elite by the client - Replaced manual reporting workflows saving teams 20+ hours per week - Scaled Power BI datasets from thousands to 10M+ rows without performance loss - Built AI document parsing systems handling enterprise-grade extraction and classification - Designed Snowflake data warehouses with optimized dimensional models for executive reporting 𝗣𝗶𝗹𝗹𝗮𝗿 𝟭: 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ETL/ELT architecture, real-time ingestion, CDC patterns, incremental loads, and warehouse modeling. I work across Snowflake, BigQuery, Databricks, Azure Data Factory, dbt, Airflow, and Kafka. Clean data contracts, reliable refreshes, and systems your team can maintain. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟮: 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 (𝗔𝗟𝗟 𝗧𝗼𝗼𝗹𝘀) Power BI (semantic models, DAX, embedded analytics, Power BI Service, Fabric), Looker Studio, Tableau, QlikView, and Excel/Power Pivot. From KPI frameworks and dimensional modeling to real-time executive dashboards I build reports that are fast, accurate, and aligned to decisions. Performance tuning for slow or bloated reports is a core specialty. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟯: 𝗔𝗜, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Production-grade LLM integration using Clawdbot, Moltbolt, Openclaw, LangChain, and RAG architectures. Custom AI agents with guardrails, human-in-the-loop controls, and monitoring for enterprise safety. Workflow automation through n8n, Make, Zapier, Langflow, Flowise, and SimStudio — connecting AI to your CRM, ticketing, email, Slack, and internal systems with role-based access and audit trails. Typical AI deployments: AI support agents, document intelligence pipelines, internal ops copilots, knowledge search with permissions, and intelligent lead qualification systems. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: Healthcare (EHR, operational analytics, HIPAA-compliant reporting) Finance & Enterprise (P&L, KPI dashboards, multi-source consolidation) SaaS & Startups (product analytics, embedded BI, growth pipelines) 𝗠𝘆 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: Every engagement starts with a short audit current-state review, data access, KPI definitions, and a milestone delivery plan with clear timelines. Then we build in iteration cycles with hardening, documentation, and handover so your team owns the system when I'm done. I always leave things better than I found them. Proper data models, clean logic, version-controlled code, and documentation your team can actually work with. Have a project in mind? Click "Invite to Job" let's talk.

I'm Antik Patel your go-to Generative AI Architect… I build production-grade AI agents, RAG pipelines, Automation and multi-agent systems that enterprises actually deploy not proof-of-concept demos that die in a notebook. My AI voice agent handles Tier-1 support for a multimillion-dollar call center (38% faster handle times), and my multi-agent LLM framework powers real-time portfolio intelligence for financial firms. Top Rated Plus (top 3%) · 100% Job Success · Trusted by Twitter, Bank of Montreal, and Fortune 500 companies. ⸻ What I Build: ◾ LLM Agents & Multi-Agent Systems — Autonomous AI agents that research, reason, and take action. I architect multi-agent workflows using LangChain, LangGraph, and CrewAI where specialized agents collaborate to handle complex business processes end-to-end. ◾ Production RAG Pipelines — Not basic "chat with PDF." I build enterprise RAG with hybrid search, re-ranking, citation tracking, and evaluation dashboards — so your system retrieves accurately, cites sources, and improves over time. ◾ Voice AI Agents — Real-time conversational agents for call centers and customer service. STT → LLM reasoning → function calling → TTS — with graceful human handoff and sub-second latency. ◾ LLM Fine-Tuning & Deployment — Fine-tuned GPT-4, LLaMA 3, Mistral, and Falcon using LoRA/QLoRA adapters for domain-specific tasks: legal contracts, compliance reports, medical triage, and financial analysis. I handle training, quantization, and scalable serving. ◾ AI-Powered Creative & Vision Systems — Stable Diffusion & Flux fine-tuning for on-brand avatar generation, one-click ad creatives, and virtual try-on — all production-deployed, not playground experiments. ⸻ Why My AI Systems Actually Work in Production: Before building LLM agents, I spent years as an ML engineer designing production ML pipelines — custom model monitoring on GCP Vertex AI, Kubeflow-based training infrastructure, and ensemble methods for enterprise clients. When I build a RAG pipeline, I understand embeddings, retrieval architecture, re-ranking algorithms, and the infrastructure to serve it at 10,000 queries/day with monitoring. That's the difference between a chatbot that demos well and one that runs your business. M.Tech in AI (IIT Jodhpur) · Former AI Company Founder · 7+ years building ML systems at scale. ⸻ Recent Impact: → Built a real-time voice agent that reduced call center handle time by 38% → Deployed a multi-agent LLM suite for real-time stock insights and portfolio optimization → Created a "personal data scientist" platform — non-technical users upload data, chat in English, and trigger ML models with a single prompt → Launched an Avatar Studio (Flux LoRA fine-tuning) delivering photoreal brand avatars — zero photoshoots → Shipped a one-click ad generator that converts product shots into brand-safe creatives instantly ⸻ Core Tech Stack: LLMs: GPT, LLaMA , Mistral, Claude, Gemini Pro, Falcon, Nano Banana Pro Agents: OpenClaw, Claude code ,LangChain, LangGraph, CrewAI, AutoGen, OpenAI Function Calling RAG: Pinecone, ChromaDB, Weaviate, pgvector, LlamaIndex, Hybrid Search, RAGAS Fine-Tuning: LoRA, QLoRA, PEFT, Hugging Face, vLLM , Open Source LLMs Vision/Creative: Stable Diffusion, Flux, ControlNet, DreamBooth Infra: AWS Bedrock, GCP Vertex AI, FastAPI, Docker, Kubeflow ⸻ ✅ Outcome-First — Every model ships with benchmarks, cost analysis, and a clear path to production. ✅ Transparent & Fast — Weekly demos, crisp communication, and timelines you can set your watch to. ✅ Deep Architecture Knowledge — I don't wrap APIs. I understand transformers, attention mechanisms, and embedding spaces from the ground up. Ready to deploy AI that actually moves the needle? Let's hop on a quick scoping call — I'll tell you what's feasible, what it costs, and how fast we can ship it.

💡 AI powered agents to run tasks like research/ analysis and data visualisation tasks 💡 RAG: Retrieval Augmented Generation to minimize hallucinations in any knowledge work 💡 Experience building end to end (full stack) generative AI agents to accelerate knowledge workflows 💡Examples of agents developed: network AI agent, sales agent and personal assistant agent. ⭐ SERVICES: - AI SEO - Building RAG systems to prevent hallucinations and ground your AI on real accurate data - Fine tuning models to specific domains (eg: medical, legal) - Query to report generation dashboards: Extract data from your database and generate visual and insightful reports in minutes instead of days - AI agentic system: automate workflows (think RPAs on generic tasks) - Data modelling - Feature extraction for downstream NLP tasks ⭐ ABOUT: 4+ years in the field of machine learning, working in building and maintaining machine learning pipelines as well as training and fine tuning neural nets, having worked across American , European and South east Asian development teams. I have experience training neural nets including: - LLM post training/fine tuning + Reinforcement learning - Training Embedding models - Hyperparameter optimisation - Data curation for specific downstream tasks Feel free to connect with me if you have a possible product idea you want built out or advice on how to go about building such tools. Cheers, Ashrith Jacob