Parth Tripathi
Data Analyst Scientist @Walmart
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WORK HISTORY
Data Analyst Scientist @Walmart
Mississauga, ON, CA
Architected Python-based ML models using OOP principles for tax risk prediction, improving accuracy by 30% and reducing processing time by 25%, saving 20 hours/month in manual validation for cross-border teams. Worked with structured and unstructured data spanning 500 million+ product records across global taxonomies, enabling enriched data label-ing, validation, and predictive modeling for real-time marketing and finance insights Built GCP data pipelines to automate data integration, cutting processing time by 14% and enabling real-time reporting for $5k+ portfoli-os aligned. Led global collaboration with Google’s Engineering team to design Spark-powered data pipelines, resolving high-impact integration chal-lenges and improving Agile sprint efficiency by 20%, using SQL in Google’s Big Query Finetuned LLMs & created GEN AI products to refine product categorization, analyzing minutes of meeting data to boost label accu-racy by 20% using techniques like LoRa and QLoRa to work on Taxed more than 30 million Walmart products. Standardized data definitions across Sybase and DB2 databases, ensuring consistency Collaborated with the external Google team to integrate data sources and align model development goals, increasing data consistency and supporting Agile sprints for efficient project delivery.
EDUCATION
BITS Edu Campus: BABARIA INSTITUTE
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering
St. Clair College
Postgraduate Degree, Data Analytics
ABOUT PARTH TRIPATHI
ABOUT ME > Data Scientist @ Walmart > 8+ Yrs Experience > Working on ML, Gen AI, Python, SQL, Power BI, GCP > Ex-Nielsen, Numerator > 3x LinkedIn Top Voice > CSPO CertifiedHere\'s my story in bullets — the kind recruiters actually love to read Career Snapshot: 8+ years in Data Science, BI, and analytics - building solutions across Fortune 100 giants like Google, Apple, Amazon & Walmart. Experience working with 100+ countries, delivering real-world, high-impact data projects. Walmart – Present Role: Lead Gen AI reviews for tax data annotation across US-based financial giants involded in the AI projects.🧠 Used predictive models, LLM\'s with GEN AI models like ChatGPT & Gemini for ML outputs, training the model to follow complex tax logic, using hyperparameter tuning, quantization techniques.🧾 Built audit frameworks & automation checks using Python & internal Walmart tools. St. Clair College:🤖 Built a Generative AI Chatbot using LLama 2 & Falcon to resolve student queries. ML models trained with CNNs & Random Forests using Azure ML. NielsenIQ: Led the Google to Microsoft global migration, training 500+ users across 100+ countries. Created automated sheets using SQL + VBA to reduce manual workload by 60%. Used ML models to train data for world\'s biggest clients like Pepsico, SCJ, Henkel, Unilever Numerator: Built Power BI dashboards used by global brands like SCJ, and Henkel.🤖 Used Python, Excel & Power Automate to create end-to-end ad analysis pipelines.🧩 Played the bridge between data & marketing — blending SQL + storytelling. Highlight Projects: AI Chatbot: Cut support wait time from 72 hrs to live interaction for students. Bridge & Tunnel Analytics: Identified bottlenecks across US-Canada corridors.🧾 Walmart KPI Dashboard: Financial metrics & business performance — all in one click. NYC Housing Data: Improved ML accuracy by 28% using labeled and annotated data. Tech I Love: Python | 🧮 SQL | Power BI | Azure, GCP, AWS🧠 GenAI: ChatGPT, Gemini, LLama 2, Falcon, LangChain, Hugging Face Tools: Power Automate, Jupyter, GitHub, SharePoint, Salesforce, SAP My Certifications: Certified Data Scientist – Skill India Certified Scrum Product Owner – Scrum Alliance Oracle Gen AI Engineer🧠 PMP’s Certified Generative AI Analyst Master\'s in Data Analytics for Business – St. Clair College Let’s Chat:Love data? Curious about AI? Reach out — always up to innovate! t••••••••@gmail.com +12•••••••35
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