🚀 Data-Driven Digital Marketing & Analytics Expert | 15+ Years | BI | Data Engineering | Marketing Analytics | Power BI | Tableau | Looker | GA4 | SQL | Marketing Analytics | Adobe Experience Cloud 𝐀𝐫𝐞 𝐲𝐨𝐮 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐭𝐨 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐭𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞 𝐦𝐞𝐚𝐬𝐮𝐫𝐚𝐛𝐥𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐠𝐫𝐨𝐰𝐭𝐡? Hi, I am Varun, I have 15+ years of hands-on experience in Digital Marketing, Marketing Analytics, CRO, Business Intelligence (BI), and Data Engineering, I help businesses unlock the true potential of their data to make smarter, faster decisions. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐚𝐛𝐥𝐞: ✅ Marketing Analytics & Attribution (Google Analytics 4 (GA4), Google Tag Manager, Campaign Tracking, Multi-touch Attribution) ✅ Business Intelligence & Data Visualization (Power BI, Tableau, Looker, Google Data Studio, Qlik) ✅ Data Engineering & ETL Pipelines (SQL, Python, BigQuery, Snowflake, Azure Data Factory) ✅ Advanced Analytics & Reporting (Cohort Analysis, Predictive Modeling, Customer Segmentation) ✅ Data Strategy & Consulting – Align your data initiatives with business goals to drive ROI ✅ Proven Track Record: Successfully delivered 50+ data engineering, analytics, and BI projects for global clients across industries 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? ✨ Strategic Mindset: I combine technical expertise with a deep understanding of marketing and business strategy. ✨ Data-Driven: Every recommendation I provide is backed by robust analysis and clear insights. ✨ Results-Oriented: My focus is on delivering measurable success and long-term value for your business. ✨ Collaborative Approach: I work as a true partner, ensuring transparency, communication, and alignment throughout the project. Let’s Elevate Your Business: 𝐈𝐟 𝐲𝐨𝐮’𝐫𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐭𝐨 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐝𝐚𝐭𝐚-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 𝐭𝐨 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐲𝐨𝐮𝐫 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐨𝐫 𝐛𝐮𝐢𝐥𝐝 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐁𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 — 𝐈’𝐦 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐡𝐞𝐥𝐩! 📩 Ready to get started? Let’s discuss your project — click the "𝐈𝐧𝐯𝐢𝐭𝐞 𝐭𝐨 𝐉𝐨𝐛" or "𝐌𝐞𝐬𝐬𝐚𝐠𝐞" button and let's collaborate to turn your data into your greatest asset! Best regards, Varun J.

I have 10+ years of experience helping healthcare clients reach their data goals. I've worked with a variety of healthcare specific datasets including Medicare data, claims data, billing data, provider data, and more. We are of course familiar with HIPAA compliance and I am happy to sign a BAA. ------------------------------------------------- Sample of Healthcare Clients (Past and Current): ------------------------------------------------- PennMedicine Allina Health Alaska Department of Health Steven Klein Wellness Center (Project HOME) Portland Mental Health and Wellness Keen360 City of Philadelphia --------------------------------------------------- Services I've Helped With --------------------------------------------------- • Create reports & dashboards • Connect to APIs • Configure custom business applications • Create databases • Clean & reformat data • Implement data science algorithms • Machine learning • ETL & Data Engineering • Automate manual processes • Write AI chatbots • Customize, train, & fine tune LLMs ------------------------------------------------------ Problems I've helped solve ------------------------------------------------------- Here are just some examples: • "We need a machine learning model to help identify factors that are causing actual claim costs to be significantly higher than expected costs." • "How are my hospital employees utilizing their mental health HR benefits?" • "We need a dashboard to show various statistics about maternal healthcare across our organization." • "In an effort to reduce costs, implement an AI Chatbot that interacts with patients to answer common questions." • "We need a report that updates quarterly to compare provider performance." • "As AI evolves, we need a more robust policy to ensure our HIPAA and other data is being protected." • "We need a comprehensive plan to overhaul our provider data management system and data flow automations." ------------------------------------------------------- Tools ------------------------------------------------------- • Power BI • Tableau (certified) • Python • SQL • Excel & Google Sheets • AI Tools (LLMs, APIs, etc.) • Looker (certified) • Qlik • JavaScript I am also comfortable working with more obscure programs that are not on this list, they are usually very similar to one of the programs listed above. ----------------------------------------------------- Use Cases ----------------------------------------------------- Within healthcare organizations, I've worked with the following types of data: • Claims • Medicare • Billing • App/Website Usage • Provider • Patient • Financial/accounting • IT/ticketing • HR/Healthcare Employee • Marketing/Sales/CRM • Healthcare Inventory • Integrating Census data into internal organizational data sources I'm happy to hop on Zoom to chat about your project and needs! P.S. I am extremely active on LinkedIn, so please feel free to connect with me.

I've been in the analytics/BI space for the past 15+ years, working previously as Consultant at a Big 4 consulting firm and more recently working for startups and Fortune 100 companies in Silicon Valley at companies like Google, Spotify, Quantcast, Cigna, UnitedHealthcare, Bank of the West, and Eventbrite. Have built numerous data projects using Agentic AI. I have excellent communication skills and project management skills. I pride myself in putting my clients first and thriving to exceed my clients expectations. A little more about me: * Top Rated on UpWork for over 7 years * 15+ years of experience as a Business Intelligence/Data Analytics professional * Bachelor’s in Information and Computer Science I specialize in the following: - Tableau Online/Server, Tableau Desktop/Prep - Reporting/Dashboarding - Data Warehousing, data modeling - Data Visualization - Data Integration - Analytics Engineering - dbt, python, ELT/ETL - Fivetran/StitchData/Mozart - APIs - Database Backup and Recovery - Data automation - E-commerce systems - Shopify, Klaviyo, Typeform, Wufoo - Sales operations reporting and systems - Salesforce, Data Loader CLIq, Zoho - Big Data - Hive, Impala, Oozie, Spark - Excel BI solutions Technologies and specialities include: - BI tools: Tableau/Tableau Server, Mode Analytics, Power BI, Oracle Hyperion, PowerPivot, PowerView, Looker, Mode, Sigma, Omni, Evidence - Database Platforms: SQL Server, MySQL, Amazon Redshift, Snowflake, Hadoop, Google Cloud, BigQuery, Postgres, Oracle, Supabase - SQL, Python, Hive, CMS integration, AWS - Agentic AI - Claude, Cursor

As a dynamic data expert with a proven track record, I specialize in end-to-end data solutions across data engineering, data warehousing, and business intelligence (BI) domains. My focus is on building scalable, reliable, and cost-effective data pipelines and solutions that drive business growth and provide actionable insights. I am proficient in both short-term, project-based work and long-term, strategic partnerships. MY CORE COMPETENCIES AND SKILLS: • Data Engineering and ETL: I design, develop, and deploy robust ETL/ELT pipelines. I am highly skilled in AWS Glue, Matillion, Fivetran and Zapier for orchestration and data integration. I write efficient Python scripts for data processing and API extractions. My expertise covers both batch processing and real-time data streaming. • Cloud and Database Technologies: I am well-versed in cloud platforms including Amazon Web Services (AWS), Google Cloud Platform (GCP), Snowflake and Databricks. My database skills cover databases such as PostgreSQL, MySQL, SQLite and MongoDB. My expertise also includes Spark, and Kafka for big data processing. • Business Intelligence (BI) and Analytics: I transform raw data into powerful insights using leading BI tools. I create interactive dashboards and reports in Tableau, Quicksight, Microsoft Power BI, Looker and Metabase. I am also an expert in developing advanced analytics and reporting solutions. • Marketing and Advertising Data: I have significant experience extracting and integrating data from platforms like Google Analytics 4 (GA4), Google Ads, Meta Ads, Google Tag Manager, Campaign Manager 360, and Salesforce CRM. I create robust data pipelines to connect ad performance with customer behavior for effective reporting and campaign optimization. • AI/LLM-based Reporting: Skilled in creating natural language querying (NLQ) systems and reporting solutions built on Large Language Models (LLMs) to make data accessible to non-technical users. ADVANCE AND SPECIALIZED SKILLS: • Serverless Computing: Proficient in architecting cloud-native serverless systems leveraging managed services to build scalable, resilient, and cost-efficient data and application workflows. • API Integration: Expert in consuming, managing, and integrating APIs using Python to handle challenges like rate limiting, OAuth authorization, pagination, and incremental data loading. • Data Governance and Quality: I implement data quality checks and data governance frameworks to ensure data integrity and reliability. • LLM and Generative AI: I am skilled in building LLM-based reporting systems and enabling natural language querying (NLQ) to make data accessible to non-technical users. WHO I WORK WITH: Founders building AI powered products who need someone who's shipped before. Startups scaling from prototype to production with real users and real edge cases. Businesses drowning in manual data collection or repetitive workflows. Teams that tried building it themselves, hit a wall, and need someone to fix it. HOW I WORK: Scope Call — I understand your problem, constraints, and timeline. I'll tell you honestly if I'm the right fit. Architecture Doc — Before writing code, I define what we're building, why, and how. You get a clear plan with milestones. Build in Sprints — 1-2 week cycles. Working software each sprint, not status updates. Deliver & Support — 30-day support included. Systems I build keep running months after handoff.

Top Rated Plus | 100% Job Success | Founder, DataNicely I help growing organizations fix reporting that can't keep pace with the business — when metrics don't align, dashboards aren't trusted, and leadership needs clearer, more reliable answers. I design analytics and reporting systems executives can depend on and teams actually use, enabling decisions to be driven by consistent, trusted data instead of spreadsheets and guesswork. As founder of DataNicely, I partner with leadership teams to bridge the gap between analytics strategy and execution — from defining KPIs and reporting roadmaps to building automated dashboards and data pipelines that eliminate manual effort. I also build AI agents on top of that clean data layer, so teams can ask questions of their data in plain language, specific to their role, without needing a data analyst in the room. With over 13 years of experience in analytics and data engineering, I've led initiatives across financial services, restaurant groups, nonprofits, and e-commerce — helping organizations centralize data, align metrics, and make confident, data-driven decisions. ⸻ Core Services • Analytics infrastructure design and data strategy consulting • Tracking cleanup and implementation (GA4, GTM, Meta Pixel, Conversions API) • AI-powered analytics agents (built on leading LLMs) • KPI definition, metric alignment, and reporting frameworks • Dashboard development (Power BI, Tableau, Sigma Compute, Looker Studio) • ETL/ELT pipelines, data integration, and workflow automation (BigQuery, dbt, Make, Python) • Automated reporting, monitoring, and real-time alerting ⸻ Tech Stack BigQuery | dbt | GA4 | GTM | Meta Pixel | Make | Power BI | Tableau | Snowflake | Looker Studio | Python ⸻ If your data infrastructure isn't keeping up with your business, that's the problem I solve — from the ground up.

Currently, I am working as a senior Business intelligence consultant in consultancy. Moreover, I have over 8 years of experience in the field of data extraction and report development. Additionally, I have worked on the following tools: Have around 10 Years of experience in the field of Business Intelligence and Data warehousing and Ad-hoc Reporting. • Good team player and worked with diversified teams across projects. • Building Executive Dashboards using Power BI, Power BI Paginated Report, Tableau, OBIEE and Izenda. • Working with actions, filters and parameters in order to create more meaningful dashboards in Tableau. • Involved in Creation of dimensional relational data models with Dr. Ralph Kimball Methodology i.e. Star schema and Snowflake schema. • Worked closely with Users, Developers and Administrators to resolve ongoing Production Problems by reviewing design changes made to production systems and made corresponding changes to OBIEE Repository. • Sound understanding of relational and dimensional databases. • ETL using PL/SQL Procedures, Oracle Data Integrator and Pentaho facilitate Extraction Transformation and data load from OLTP systems to OLAP systems. • Dashboard, Analysis security • Multi user development environment (MUD) configuration • System management tools like WebLogic, Enterprise management and Catalog Manager. • Attention to detail & ability to work in a pressurized time sensitive environment. • Checking of supplied data for sense, consistency and accuracy • Able to create complex procedures and functions. • Hardworking, honest and quick learner • Writing queries, procedures and functions in PLSQL for creating data models of Reports. • Creating Data Models in Oracle Business Intelligence Publisher. • Creating RTF templates for reports. • Uploading templates and Delivering final version of Reports Execution of ODI Objects using web services. • Performed write Back option in OBIEE.

Dynamic and results-oriented Business and Data Analyst with a proven track record of leveraging data-driven insights to optimize business processes and drive strategic decision-making. Experienced in analyzing pricing data, developing actionable recommendations, and collaborating with cross-functional teams to align strategies with organizational objectives. Proficient in SQL, Python, Tableau, and Excel, with a strong ability to adapt and thrive in fast-paced environments.

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.

📝 BIO / OVERVIEW I build AI that works for you, autonomously. And I build it on a foundation of rigorous data science. I'm a Top-Rated AI/ML Engineer specializing in agentic AI systems, autonomous agents that plan, reason, use tools, and act without constant human input. With 6+ years of professional experience, MIT and IBM certifications, a Distinction in ML from the University of London, and a Letter of Commendation from the London School of Economics for scoring among the highest marks in the world in Data Science and Business Analytics, I sit at the intersection of two disciplines that are rarely combined well: agentic AI engineering and data science. Most agent builders don't think statistically. Most data scientists don't build agents. I do both, and that's what makes the systems I deliver more reliable, better scoped, and genuinely production ready. 🔧 What I Build Autonomous AI Agents Multi-agent pipelines using LangChain, LangGraph, CrewAI, and AutoGen. Agents with memory, planning, tool use, and reflection loops that actually run in production, not just demos. RAG & Knowledge Systems End-to-end Retrieval-Augmented Generation pipelines with vector databases (Pinecone, Weaviate, FAISS, ChromaDB), smart chunking, hybrid search, and re-ranking. Your LLM, grounded in your data. AI Workflow Automation Intelligent automations connecting LLMs to your business stack via n8n, Zapier AI, and Make. Lead enrichment, document processing, auto-reporting: AI wired into your existing tools. LLM Fine-Tuning & Deployment Domain-specific fine-tuning using LoRA, QLoRA, and PEFT on Hugging Face. Model evaluation, benchmarking, and scalable deployment on AWS, Azure, and GCP. Data Science & Predictive Analytics The foundation under everything I build. EDA, feature engineering, predictive modeling, statistical analysis, A/B testing, and BI dashboards. I work across industries to surface decisions, not just charts. 🎯 Why Clients Choose Me Systems thinker: I architect the full pipeline across data, retrieval, orchestration, and deployment. Not just a notebook. Data-grounded agents: My DS background means the agents I build are statistically sound, not just prompt-engineered. Production-grade delivery: Clean, documented, deployable code with real performance metrics. Top-Rated on Upwork with 6+ years of real-world AI/ML delivery across industries. MIT & IBM certified. Distinctions in Machine Learning, University of London. Letter of Commendation from the London School of Economics for ranking among the highest marks worldwide in Data Science and Business Analytics. 🛠️ SKILLS AI Agents & Orchestration LangChain, LangGraph, CrewAI, AutoGen, OpenAI Assistants API, Semantic Kernel, Agent Memory & Tool Use RAG & Vector Systems Pinecone, Weaviate, FAISS, ChromaDB, LlamaIndex, Hybrid Search, Re-Ranking, Document Chunking LLM Fine-Tuning & Generative AI LoRA / QLoRA, Hugging Face Transformers, PEFT, RLHF, GPT-4o, Claude, Gemini, Mistral, Llama, Prompt Engineering AI Workflow Automation n8n, Zapier AI, Make (Integromat), API Integrations, Event-Driven Pipelines Data Science & ML Python, Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM, Pandas, NumPy, Statistical Modeling, A/B Testing, SPSS Data Visualization & BI Tableau, Power BI, Matplotlib, Seaborn, ggplot2 Cloud & Infrastructure AWS, Azure ML, GCP Vertex AI, SageMaker, Snowflake, Docker, FastAPI, PostgreSQL, MongoDB, Apache Spark 💬 CLIENT TESTIMONIALS "Collaborating with Zainab was outstanding. Her deep knowledge and expertise in Machine Learning algorithms, statistics, and Python programming impressed me." "Zainab was an invaluable asset to my research project, offering a wealth of insights within the realms of AI model sensitivity and model assurance. Her contributions greatly enhanced my understanding." "Zainab is a high quality and committed professional. I highly recommend her." 📩 Message me to discuss your project. I offer a free 30-minute scoping call to map out the right architecture for your use case.

I am a 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝑪𝒐𝒏𝒔𝒖𝒍𝒕𝒂𝒏𝒕 𝒂𝒏𝒅 𝑫𝒂𝒕𝒂 𝑨𝒏𝒂𝒍𝒚𝒔𝒕 with 7+ years of freelancing experience and 5+ years of corporate experience, working across diverse industries, helping organizations turn scattered data into clean, reliable, and decision-ready reporting systems. My work covers the full BI lifecycle—from data extraction, cleaning, transformation, and modelling to building intuitive dashboards, automated reports, and scalable analytics solutions. I am also a 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐀𝐧𝐚𝐥𝐲𝐬𝐭, with 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 in Power BI, Microsoft Fabric, Azure, Tableau, Data Studio (Google), Excel, SQL, and multiple data platforms. I bring together 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 to create reporting solutions that are accurate, scalable, and easy to use. With a strong background in 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐁𝐈 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, I can help organizations move from scattered data and manual reporting to clean, automated, and insight-driven dashboards. 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 🥇Top Rated Freelancer 🏅Microsoft Certified: Power BI Data Analyst Associate 👍200+ Dashboards & Reports 🏆100% Job Success 🤝Happy Clients 𝐂𝐨𝐫𝐞 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐬: • Connecting and integrating data from multiple sources (APIs, Azure, AWS, Excel, Google platforms etc.) • Designing clean, business-focused dashboards that drive decision-making (not just visuals) • Ensuring data accuracy, performance optimization, and scalability for real-time or near real- time reporting • Managing Power BI Service, Fabric and Azure: end-to-end, including publishing reports, setting up workspaces, configuring access controls, and ensuring the right users have the right level of visibility, managing, processing, and analyzing data using built-in tools like Lakehouses, Warehouses, and Power BI semantic models. • Structuring datasets/models for long-term usability and minimal maintenance Main tools – ✔️ Power BI - Microsoft Certified ✔️ Tableau ✔️ Data Studio (Google) ✔️ SQL With my skills, I can create deep insights from complex data, create powerful visualizations, reports, and dashboards that facilitate business decision-making. My work is not limited to creating attractive visuals. I focus on making dashboards business-ready and decision-focused, so stakeholders do not just see data—they actually use it. Other Skills: ⭐Python ⭐SQL -Postgre, MS SQL, MySQL, Azure SQL ⭐BigQuery ⭐DAX ⭐Power Query ⭐Power Pivot ⭐ M Language ⭐ Google Cloud Platform ⭐Microsoft Fabric ⭐ Statistics Educational Qualifications: • MSc in Data Science • Postgraduate Diploma in Statistics • Bachelor of Computer Applications I am fluent in English and have proficient writing skills. Please check out 🌐𝐛𝐚𝐧𝐚𝐯𝐬𝐡𝐚.𝐜𝐨𝐦 to see some of my sample work.