Senior Analytics Associate @ Novartis | Big Data | Content Creator | 41k+ Linkdlen💜 | Go Getter | Brand Collaboration 🤝 | 20 million + Content Impressions 📈| Retail Investors | Ex ZS Associates

Let’s be that senior whom we always wanted in our life. 🚀 

Wanted to elevate your data skills and career then let’s connect🤝 

As a Senior Analytics Associate at Novartis, I use data to drive business decisions and deliver innovative solutions for complex problems. I have a Bachelor of Technology from Harcourt Butler Technical University, where I gained a strong foundation in data analysis, statistics, and machine learning.

In my current role, I collaborate with cross-functional teams to identify opportunities for optimization and guide strategic decision-making based on data-driven insights. I leverage the latest tools and technologies, such as SQL, Python, PySpark and Contour to extract insights from big data sets and support product development, commercial strategy, and clinical research. I am committed to staying ahead of the curve in emerging technologies and best practices in analytics to continuously enhance Novartis' data-driven culture.

I also have experience as a Decision Analytics Associate at ZS, where I worked with client stakeholders across the world, specializing in the Pharma Industry, to understand their needs and translate data into insights that drive business value. I delivered high-quality and impactful analytics solutions through a collaborative approach, focusing on sales force strategy and commercial effectiveness.

Additionally, I am passionate about sharing my knowledge and expertise with the broader data community as a content creator. I create engaging and informative content that simplifies complex concepts and makes them accessible to a wider audience, through tutorials, blog posts, and video content. I strive to inspire curiosity, drive learning, and help people advance their careers in the data field.

Ashish Singh 🇮🇳

SWE III at Google | Tech, AI & Career | views = mine | 800K+ Followers | Speaker | Judge | Tech Creator | 2X Featured on Times Square | l#MotivationForTheDay

Archy Gupta

When I moved to Hyderabad, my in hand salary was ₹10,000. 👩‍💻
I lived on that amount for four months. I managed rent, food, transport, everything. I even saved a little and bought gifts for my family. ✅

Last year, I met Prof. Ravindrababu Ravula and heard his story. He has built an empire of 500cr (he started with ₹500). 🙌

📍Yesterday he told me that he is now helping people with financial planning and if you are interested, here’s how you can connect : https://lnkd.in/g677rpW8

Personally, One hour talk with him taught me more than any finance book or course could teach me. 

What I respect most is his clarity. Just practical, sometimes uncomfortable financial truths.✌️

Coming back to my story, as my career grew, my income increased. But the biggest mistake I did was I didn’t start investing until I got married.

I did some small investments just for tax savings without a clear plan. 

📍Here’s my two cents who is starting now:

1. Start investing early. Time compounds quietly.
2. Take risks you can afford to lose.
3. Secure health insurance, term insurance, and six months of emergency funds.
4. Invest in your skills.
5. Think long term. Avoid greed.

Financial planning is about intention, not income.

If you need financial planning advice, I would highly recommend to have a session with RBR. 

Bdw, what was your first salary❓Did you service without family’s support❓

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Most systems don’t slow down because of complex logic.
They slow down because the same data is fetched again and again.

This reel explains caching in simple terms:

• You start with an app that queries the database for every request.
• Traffic grows. The database becomes the bottleneck.
• Repeated reads overload it. Latency increases.
• So you add a cache layer.
• Frequently accessed data is stored in fast memory.
• Requests hit the cache first instead of the database.
• If the data is present, it returns instantly.
• If not, it’s fetched from the database and stored for next time.

That’s the core idea.

Caching isn’t just about speed.
It’s about reducing database load, improving response times, and handling scale gracefully.

It decides “where” data is served from so your system can stay fast under pressure.

Save this if it made caching clearer.
More system design breakdowns coming soon.

#systemdesign #caching #backendengineering #scalability #softwarearchitecture #distributedsystems

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Ashish Singh 🇮🇳

Archy Gupta

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taplio

The Battle

Ashish Singh 🇮🇳

Archy Gupta

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Archy Gupta's LinkedIn Performance

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Performance ScoreArchy Gupta's LinkedIn Performance