Shashi Bhushan Bharti

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.