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Data Science Accelerator

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The Energy Data Scientist

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Decoding Data Science

146 members • Free

26 contributions to Decoding Data Science
September 2026 AI DDS Applcation Challenge
I am happy to be completing Day 0 of the challenge! I also wish all the challenge participants good luck!
0 likes • 3d
Great
🛠️ Building technical skills is only half the equation—communicating what you build and the problems you solve is just as important.
✨ I recently completed the LinkedIn Visibility OS 2026 course by Decoding Data Science. Rather than treating LinkedIn like a static resume, the program helped me rethink how to position my work and build a focused professional presence. ● A few key takeaways that reshaped my approach: ► Clarity over buzzwords: Moving away from generic titles to clearly articulating core technical strengths in AI/ML, Agentic AI, and LLM systems. ► Proof of work: Shifting focus from passive experience listings to highlighting deployed projects, tools built, and real outcomes. ► Consistent visibility: Showing up intentionally, sharing technical learnings, and engaging meaningfully with the builder community. ◄► A big thank you to Mohammad Arshad and the Decoding Data Science team for putting together such an actionable, practical roadmap. 🚀 Excited to put these frameworks into practice and share more of what I’m building!🤖 DDS Business Circle #LinkedInGrowth #DataScience #AgenticAI #ArtificialIntelligence #MachineLearning #BuildInPublic #ContinuousLearning #DecodingDataScience #TechAiCommunity #CareerGrowth #GrowthMindset #RemoteWin #Upskilling
🛠️ Building technical skills is only half the equation—communicating what you build and the problems you solve is just as important.
2 likes • 3d
Congratulations
🌟 Grateful. Honored. Inspired.
Being recognized as Ambassador of the Month – July 2026 by @Decoding Data Science (DDS) is incredibly meaningful, but the real reward has been the journey—learning, contributing, connecting, and growing alongside an amazing AI community. A heartfelt thank you to @Mohammad Ahmad for your leadership, encouragement, and for creating a community where consistency and contribution truly matter. This recognition reminds me that growth isn’t built in one giant leap—it compounds one post, one conversation, one demo, and one act of contribution at a time. I’m equally grateful to my fellow DDS Ambassadors whose passion, ideas, participation, and support continually inspire me. This recognition feels even more special because it comes from a community where we learn from one another, celebrate each other’s progress, and grow together. 🙏 Proud to represent DDS and excited to keep learning, contributing, and building alongside this incredible community! #DecodingDataScience #DDS #AmbassadorOfTheMonth #ArtificialIntelligence #AICommunity #ContinuousLearning #Leadership #Gratitude #Community
🌟 Grateful. Honored. Inspired.
1 like • 4d
Congratulations
1 like • 4d
Good luck
AI agents are moving beyond simple conversations—
they can reason, plan, use tools, access knowledge and complete real-world tasks. This Sunday, join our free 2-hour live masterclass and learn how modern Agentic AI systems are built through practical demonstrations and real-world use cases. We’ll explore: • How AI agents think and make decisions • Tools, memory and multi-step workflows • RAG and knowledge retrieval • Building reliable AI applications • A practical roadmap to start building If you want to move from using AI to building with AI, this session is for you. Comment “AGENTIC AI” and I’ll share the registration link. #AgenticAI #GenerativeAI #AIAgents #ArtificialIntelligence #DecodingDataScience
AI agents are moving beyond simple conversations—
1 like • 9d
OMG
A RAG chatbot is only as accurate as its retrieval layer.
If the correct chunk is not retrieved, even the best LLM cannot recover the answer. Better RAG performance comes from: • Consistent embedding models • Carefully tuned Top-K results • Hybrid vector and keyword search • Testing retrieval quality before generation Don’t just evaluate the final response. Evaluate what reached the model.
A RAG chatbot is only as accurate as its retrieval layer.
0 likes • 9d
Wow
1-10 of 26
Jamshed Alam
3
36 points to level up
@jamshed-alam-1017
CST Diploma grad with DS/ML training. Skilled in Python. My goal: become a Data Scientist who analyzes real-world data & builds predictive models.

Active 3d ago
Joined Aug 19, 2026