Parindsheel D.

Chief Technology Officer (CTO) at DataToBiz, where we help organizations transform raw data into business growth. With 10+ years of experience in AI, Data Engineering, and Business Intelligence, I specialize in leading teams that build scalable, secure, and ROI-driven AI systems that solve real business problems — not just technical ones. At DataToBiz, we partner with global clients across manufacturing, retail, finance, wellness, and F&B to design and deploy data platforms, AI applications, and intelligent automation systems. Our mission is simple — help businesses make faster, smarter, and data-backed decisions. 🌐 What We Do * Data Engineering & Cloud Architecture – Building modern data stacks, ETL pipelines, data lakes, and cloud-native infrastructure (AWS, Azure, GCP, Snowflake, Databricks). * AI & Machine Learning – Predictive analytics, NLP, GenAI-powered automation, and intelligent recommendation systems. * Business Intelligence & Analytics – Interactive dashboards, self-service BI, and actionable KPIs using Power BI, Tableau, and Looker. * Enterprise Transformation – End-to-end automation and analytics for better productivity, forecasting, and decision-making. 📈 Real Case Studies & Results 1️⃣ Global FMCG Manufacturer Challenge: Low efficiency and high downtime due to fragmented systems. Solution: Built a centralized data infrastructure with automated data collection and OEE monitoring dashboards. Impact: Improved OEE by 15%, reduced downtime by 22%, and increased output by 7% in 3 months. 2️⃣ Global Spa & Wellness Brand Challenge: Siloed customer data, inconsistent sales performance, and high marketing costs. Solution: Developed AI-based recommendation engine, centralized data warehouse, and predictive dashboards. Impact: 53% increase in sales, 17% rise in repeat customers, and 25% cost reduction. 3️⃣ Multinational Food & Beverage Company Challenge: Poor visibility in operations and demand forecasting. Solution: Built a BI platform for sales forecasting, performance tracking, and supply chain optimization. Impact: Boosted sales by 13% in one quarter and improved forecasting accuracy by 25%. 4️⃣ Quartz Manufacturing Enterprise Challenge: Product quality issues and manual defect tracking. Solution: Implemented AI-powered defect detection and predictive maintenance analytics. Impact: 25% faster delivery, 8% operational cost savings, and improved real-time visibility. 💡 My Leadership Approach As CTO, I focus on combining data strategy with practical implementation. My approach is built on: 1. Understanding business challenges deeply before proposing solutions. 2. Designing modular, scalable, and maintainable architectures. 3. Delivering measurable results with clear KPIs. 4. Ensuring transparency, communication, and collaboration throughout. Every engagement begins with a business-first mindset — the technology must create value, not complexity. 🧠 Technical Expertise Languages: Python, SQL, R, JavaScript AI/ML Tools: TensorFlow, PyTorch, LangChain, OpenAI, Hugging Face Data Tools: Airflow, Kafka, Spark, Snowflake, BigQuery BI Platforms: Power BI, Tableau, Looker Cloud: AWS, Azure, GCP Frameworks: FastAPI, Flask, n8n, Zapier Focus Areas: AI Agents, Data Pipelines, Predictive Analytics, Generative AI Integrations 🤝 Why Clients Work With Me * Proven record of transforming data into business results. * Strong balance of technical depth and business understanding. * Hands-on leadership from architecture to delivery. * Transparent communication, documentation, and continuous optimization. If you’re ready to harness AI and data to drive smarter decisions, reduce inefficiencies, and scale faster — let’s talk. I’d love to understand your goals and explore how my team at DataToBiz can help you achieve measurable outcomes.