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@parthtripathi
Certified Data Scientist with expertise in machine learning and AI.
I am a certified Data Scientist with over 8 years of experience in leveraging advanced analytical techniques and machine learning algorithms to drive strategic business initiatives. My journey has been marked by a commitment to developing scalable machine learning solutions and designing data models that provide actionable insights for informed decision-making. I have a proven track record in deploying Generative AI models, including chatbots and large language models, utilizing frameworks like Qlora and LoRa on LLAMA 2, Mistral, and Gemini 2.0.
At Walmart Canada, I architected Python-based ML models that improved accuracy by 30% and reduced processing time significantly, saving valuable hours for cross-border teams. My role involved leading global collaborations and optimizing data pipelines, which enhanced reporting capabilities and compliance risk management. I have also engineered GenAI chatbots and optimized database performance, showcasing my ability to innovate and improve operational efficiency across various projects.
Throughout my career, I have mentored numerous employees and spearheaded training initiatives that have streamlined processes and enhanced productivity. I am passionate about utilizing my skills in data science and AI to contribute to impactful projects that drive business success and foster a culture of continuous improvement.
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Work history, roles, and key accomplishments
Walmart Canada
Apr 2024 - Present (1 year 7 months)
Architected Python-based ML models for tax risk prediction, improving accuracy by 30% and reducing processing time by 25%. Built GCP data pipelines for real-time reporting and collaborated with Google’s team to enhance Agile sprint efficiency.
St. Clair International Department
Mar 2023 - Mar 2024 (1 year)
Engineered a GenAI chatbot using Python and LLAMA 2, optimizing performance and reducing customer service latency significantly. Directed Agile automation projects to enhance workflow efficiency and mentored employees on software migration.
Neilsen IQ
Oct 2020 - Dec 2022 (2 years 2 months)
Developed PySpark ML workflows for sales forecasting, significantly reducing analysis cycles and improving accuracy. Automated financial reporting and led training for employees on M-365 tools, enhancing productivity.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Electronics and Communication
Bachelor of Engineering in Electronics and Communication.
Post Graduation, Data Analytics
Post Graduation in Data Analytics for Business.
Software and tools used professionally
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