The Ethical AI Guy

• Delivering advanced pricing and perception insights via Gabor‑Granger models, CVI/CBI computations, and brand perception modeling for 10+ international trackers.
• Applying machine learning and statistical modeling to strengthen brand equity measurement and improve predictive accuracy in client deliverables.
• Developing and deploying AI‑powered tools with Python, Streamlit, and LangChain for Operations, reducing manual workload by ~40% and accelerating internal processes.
• Building and optimizing ETL pipelines in SQL and Python to speed up survey data flow and delivery of insights.
• Developing custom Power BI visuals to meet business requirements for market and brand research using JavaScript and TypeScript.

• Designed and maintained brand tracker dashboards in Power BI and SQL for global clients to monitor performance across markets.
• Delivered brand equity analysis, mood score modeling, and SWOT analysis to inform quarterly marketing strategy and improve ROI.
• Performed MaxDiff and Van Westendorp pricing analyses, improving pricing strategy accuracy by 15–20%.
• Conducted key driver analysis to identify factors influencing brand preference, optimizing campaigns around the top 3–5 drivers.
• Supported client deliverables with CVI/CBI modeling in SQL, ensuring 95%+ data accuracy in insights presented to decision‑makers.

As a freelance Data and AI professional, I designed and implemented data-driven solutions and create engaging technical content for companies across diverse industries, including energy, finance, and edtech. My work bridges the gap between data engineering, analytics, and communication to deliver measurable business value.

• Built dynamic dashboards in Microsoft Power BI and implemented an SSIS integration to automate the ETL (Extract, Transform, Load) process, thereby reducing manual report updates and significantly improving reporting efficiency.
• Developed clear, user-focused documentation (how-to guides, tutorials, and best-practice resources) for data analytics projects, helping client organizations cut project turnaround time by 35% and increase revenue.
• Collaborated with an EdTech company to design tutorials and a comprehensive curriculum for their Data Science and Analytics learning track, enabling more effective learner engagement.

Throughout my experience as a data science instructor, I have been able to tutor and mentor over 40 students in the data science career path.

• I designed and delivered hands-on courses on Python programming, covering core concepts and best practices for data analysis and manipulation.
• I expertly guided my students through real-world data analysis projects, leveraging libraries like Pandas, Numpy, and Matplotlib to extract actionable insights from complex datasets.
• I have a proven track record in teaching machine learning algorithms and techniques using scikit-learn, XGBoost, TensorFlow, and Keras, enabling students to build and deploy predictive models with high accuracy.
• As a data science instructor, I was able to develop a strong focus on fostering a collaborative learning environment, encouraging peer-to-peer interaction, and providing personalized feedback to optimize student learning outcomes.