My qualifications include:
LLM practical experience building AI agents with LangChain/OpenAI APIs (Python); GenAI apps with RAG, tool-use, and evals; integrating PyTorch, TensorFlow, Hugging Face, MLflow, ONNX/TensorRT; deploying via WinML/DirectML/CUDA; MLOps on AWS; vector DBs (FAISS/Pinecone/Chroma), etc.
Driven by my passion for technology, I created and own a forecasting website, PredictXY, showcasing my ability to transform analytical skills into practical solutions. Combined with my strong foundation in Computer Science and Data Analytics, I am well-equipped to contribute effectively to this field.
Expert in different statistical tools e.g. Python, R, Tableau, PowerBI, SPSS, SAS, Knime, MS-Excel; based on different analytical concepts e.g. POS Analytics, Media Analytics, Machine Learning, Multivariate Forecasting, Text Analytics, NLP, Web Analytics, Big Data, ETL Process etc.
Proficient in diverse database systems, including RDBMS (MySQL, MS SQL Server, Oracle), NoSQL (MongoDB, DynamoDB), cloud-based data solutions (Amazon S3, Amazon RDS, GCP), modern vector databases (Pinecone, Chroma, FAISS), and specialized systems like Redis and Airflow.
With six years of Market Research expertise at GfK–NielsenIQ, followed by analytics experience in the Energy sector at REC Group, and later contributions at A*Star and BMW, along with CRM software development at Talisma, I bring a uniquely diverse, cross-industry profile powered by real-world AI and ML applications.
Have working experience with AWS EC2, S3, RDS, CloudFront, Google Cloud Platform (GCP) and other web services.
Possess professional experience with Salesforce and SAP, demonstrating expertise in leveraging CRM and ERP applications to drive efficient business operations and streamline processes.
Good at software development with different technologies such as HTML, C, C++, Python, JavaScript, CSS, Ajax, ES6, Node.js, React.js, Chrome Extension, XML, VBA and some other software programming languages.
Media Analytics: Hands-on experience in Marketing Mix Modeling (MMM) to quantify the effectiveness of media and promotional activities on sales and optimize budget allocation across channels including TV, radio, print, promotions, and digital.
Proficient and have working experience in MS-Excel VBA automation (Macros).
Have solid understanding of Google Analytics with major measurement tools e.g. A/B Testing, Cohort Analyses, Brand Funnel, and Trend Analysis.
Skilled in hypothesis testing (t-tests, ANOVA, chi-square, Mann–Whitney, etc.), with expertise in sample size, power analysis, and multiple-testing control for robust decisions.
Expert in Survey-based solution i.e. Choice-Based Conjoint (CBC), MaxDiff, ACBC.
Developed and engineered ASP.Net software applications and RESTful APIs.
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