Thames Data Labs was established in 2024 as a free data and computerized change consultancy by [Owner name]. We are expert in Data Science, Data Engineering Data & AI Strategy and Data Visualisation. That have brought an extraordinary range of abilities to the table, joined by a common vision to fabricate a consultancy in view of two points of support — conveying greatness for its clients and making an extraordinary work environment. Throughout the long term, Thames Data Labs has developed into a group of more than 10 devoted specialists, every one of whom share an enthusiasm for conveying uncommon outcomes
We help business to extract value out of their data assets by enabling data and Al strategy with right set of softwares, tools and resources.
We help business to extract value out of their data assets by enabling data and Al strategy with right set of softwares, tools and resources.
Leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. Although leaders pay attention to competitors, they obsess over customers.
Think long term and don’t sacrifice long-term value for short-term results. Never say “It’s not my job”.
Never done learning and always seek to improve. Be curious about new possibilities and act to explore them.
Create and communicate a bold direction that inspires results. Think differently and look around corners for ways to serve customers.
Listen attentively, speak candidly, and treat others respectfully. Be vocally self-critical, even when doing so is awkward or embarrassing.
Focus on the key inputs from business and deliver them with the right quality and in a timely fashion. Despite setbacks, rise to the occasion and never settle.
Struggling to maintain large dataset quality or ensure reliable data attributes in your analyses? Integrating Deequ with Spark might be the solution you need.
With this article, I would like to help you broaden your understanding of NLP and show how spaCy can be your powerful ally in effective keyword extraction.
This uneven distribution can precipitate what’s known in AWS parlance as the “hot shard” problem.