Hi there! I’m Ankit. I'm a Data Analyst at Publicis groupe with total of 3+ years of experience in analytics, where I design data-driven solutions to support product growth, business strategy, and decision-making in blockchain space. I’ve built automated data extraction pipelines using SQL and Python, analyzed over 60,000+ smart contract and wallet activity records, and developed interactive Power BI dashboards to deliver real-time insights across NFT performance, staking behavior, and user engagement. Previously, as an academic mentor at Pigeon EdTech, I optimized student performance tracking systems for 500+ learners, resulting in a measurable 25% improvement in academic outcomes. My technical toolkit includes SQL, Power BI, Excel, and Python libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. I regularly apply statistical analysis, machine learning (XGBoost, Random Forest, Logistic Regression), and advanced techniques such as Optuna for hyperparameter tuning, feature engineering, A/B testing, and cohort analysis. I follow Agile and Scrum methodologies to streamline analytics delivery and collaboration. I hold a B.E. in Electrical and Electronics Engineering from BIT Bangalore and have completed professional training in Data Analysis and Machine Learning from BossCoder Academy. My end-to-end project portfolio spans fintech, Web3, healthcare, and retail—including: An NFT analytics dashboard for monitoring floor prices, volume, and marketplace trends A smart contract event pipeline for real-time staking behavior analysis A 99.7% accurate healthcare premium prediction model Sales analytics dashboards for Blinkit and Atliq Technologies I’m passionate about transforming raw data into business-impactful insights. My key interests lie in business intelligence, product analytics, customer segmentation, and AI-powered automation using ML. Outside work, I enjoy continuous learning—reading books like Lean Analytics and Life 3.0, exploring emerging tech, and engaging with data communities. I'm actively seeking opportunities in data analytics, ML engineering, or product data roles, where I can contribute to solving complex problems and building scalable, intelligent solutions. Let’s connect and create something meaningful together!