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How I Turned ₹5,000/month into ₹6 Lakhs — My 3-Year SIP Journey

How I Turned ₹5,000/month into ₹6 Lakhs — My 3-Year SIP Journey

In 2020, I was saving ₹5,000/month with no real strategy. I stumbled into SIPs by chance. Today, that same habit has grown into ₹6,12,000 — and taught me 3 major lessons about compounding, patience, and mistakes I wish I avoided earlier.

📉 What Went Wrong in Year 1

In my first year, I panicked during a market dip and pulled out my SIP investments. That single move cost me potential gains and broke the compounding chain. I learned the hard way that reacting emotionally to market swings is a recipe for regret.

📈 Lesson Learned: Consistency Beats Timing

  • Missed rallies by being out of the market
  • Lost out on rupee cost averaging
  • Peace of mind improved with automation and discipline

🔄 My Portfolio Before vs After

Before (2020)

  • Random savings in bank account
  • No real investment plan
  • Low returns (2-3% p.a.)

After (2023)

  • Disciplined SIPs in diverse mutual funds
  • Portfolio value: ₹6,12,000
  • Average returns: 13-15% p.a.

🧠 What I’d Do Differently If Starting Again

If I could start over, I’d set up my SIPs and forget about the daily market noise. I’d diversify a bit more, avoid panic-selling, and trust the process. Most importantly, I’d start even earlier — because time is your biggest ally in compounding.
  • Start SIPs as early as possible
  • Stay consistent, ignore short-term volatility
  • Review portfolio annually, not monthly
  • Invest for long-term goals, not quick gains

NEW DELHI: Cognizant is advancing the appliance of generative AI expertise with the NVIDIA BioNeMo platform to unravel advanced challenges of drug discovery within the life sciences business. That is anticipated to enhance productiveness within the improvement course of and enhance the velocity at which new, life-saving therapies might be dropped at market, says an organization assertion.Conventional drug discovery methodologies are course of intensive and require the evaluation of huge repositories of scientific literature and scientific information to be able to reveal related insights. Furthermore, conventional strategies are burdened with excessive prices and lengthy improvement lifecycles with a excessive price of failure. By leveraging gen AI applied sciences, scientific researchers can quickly sift by means of intensive datasets, extra precisely predict interactions between drug compounds and create new, viable drug improvement pathways.”More than any other technological breakthrough in recent decades, generative AI has the potential to revolutionize the way new drugs are researched, developed and brought to market, making the creation of lifesaving discoveries faster, smarter and more accessible to all,” mentioned Anna Elango, EVP, Cognizant’s Core Applied sciences & Insights. “By collaborating with NVIDIA, Cognizant can open the path to realizing this vision safely, responsibly and cost-effectively for our life sciences clients.””Generative AI will drive the next wave of enterprise productivity gains across industries, enabled by the NVIDIA AI Enterprise software platform,” mentioned Alvin DaCosta, VP, international consulting companion group, NVIDIA.

#Cognizant #companions #NVIDIA #enhance #drug #discovery

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