Tanvi Kumar

Computer Science enthusiast, seeking to explore communities, opinions and day-to-day narratives. #SummerAnalytics2026

[Tanvi Kumar @tnvikumar05]

Huge thanks to the @kaggle and @Google teams for putting together such a curriculum and capstone challenge.
I'm highly motivated to take these agentic workflows and keep pushing the boundaries of what's possible! Let's get it. 🚀🔥
#TechCommunity #VibeCoding #AIAgents #Kaggle

[Tanvi Kumar @tnvikumar05]

5 days. Full intensity. AI agents deployed. 🎯

I've earned the "5-Day AI Agents: Intensive Vibe Coding" Course With @Google badge! Took ideas from raw code prototypes to scalable, observable deployments.
@kaggle @SmithaKolan
https://t.co/wXSmfFqVGS

[Tanvi Kumar @tnvikumar05]

My core learnings:
• Vibe Coding Workflows: Moving from standard chatbots to agents using natural language as the primary interface.
• Interoperability & Skills: Connecting external APIs, managing long-term state/memory context.
#AgenticAI #VibeCoding #ProjectBuilding

[Tanvi Kumar @tnvikumar05]

@sinha_ketan @InfySpringboard Sure!!! Will be glad💃✨

[Tanvi Kumar @tnvikumar05]

Excited✨
Recently joined Pragati : Path to future provided by @InfySpringboard !!! New!! Lets hope for the best..😌

Through this cohort, I'm looking forward to gaining hands-on knowledge, learning from industry experts, and building the foundations needed.
#PragatiPathtoFuture

[Tanvi Kumar @tnvikumar05]

@dargonThug @InfySpringboard Grateful✨🍀

[Tanvi Kumar @tnvikumar05]

@dargonThug @InfySpringboard @InfosysCareers Thankyou!! Building myself day by day..!🍀

[Tanvi Kumar @tnvikumar05]

Officially certified in Data Analysis with Python via @InfySpringboard ..📊

This clears the prerequisites for the Pragati: Path to Future initiative. Ready to apply these skills to more complex data-driven projects. 🖥️💡
@InfosysCareers

#Pragati #Infosys #DataAnalysis

[Tanvi Kumar @tnvikumar05]

@InfySpringboard Incredibly grateful for the opportunity to learn and grow through this program. Time to take this momentum, dive into the next chapter, and keep leveling up!
@InfySpringboard #DataAnalysis

[Tanvi Kumar @tnvikumar05]

Key learnings:
1️⃣ Clean data > Fancy models. Handling missing values properly is 80% of the work.
2️⃣ The power of libraries to understand complex data structures effortlessly.
3️⃣ How to spot trends and patterns that aren't obvious at first glance.
@InfySpringboard

[Tanvi Kumar @tnvikumar05]

@mohitbareja999 @kaggle @cnaiitg The journey continues—more learning, more building, more sharing.✨

[Tanvi Kumar @tnvikumar05]

@Mary_xincheng @cnaiitg @kaggle @mohitbareja999 Thank you! ✨ Absolutely... Concepts turning into working models makes the journey rewarding. #BuildInPublic

[Tanvi Kumar @tnvikumar05]

Week by week, ML toolkit keeps growing. 📚

Just completed Kaggle's Intermediate Machine Learning course.
This course helped me strengthen my concepts for building more reliable machine learning models.

Onward! 🚀

@cnaiitg @kaggle
#SummerAnalytics2026 #BuildInPublic #ML

[Tanvi Kumar @tnvikumar05]

@mohitbareja999 @cnaiitg @kaggle For suree!!! 😁

[Tanvi Kumar @tnvikumar05]

@dargonThug @cnaiitg @kaggle @mohitbareja999 Always!🍀

[Tanvi Kumar @tnvikumar05]

Excited to keep learning, building, and sharing the journey with @cnaiitg ✨..

#SummerAnalytics2026 #BuildInPublic

[Tanvi Kumar @tnvikumar05]

ML Pipelines takeaways -

× Pipelines simplify machine learning workflows by combining preprocessing and model training into one seamless process.
× Using pipelines helps prevent data leakage by applying transformations correctly during training and evaluation.

#BuildInPublic

[Tanvi Kumar @tnvikumar05]

@mohitbareja999 @cnaiitg Strong week of learning!!! Nicely done!! 💃

[Tanvi Kumar @tnvikumar05]

@cnaiitg Another step forward in building a strong ML foundation. 🚀

#SummerAnalytics2026 #BuildInPublic

[Tanvi Kumar @tnvikumar05]

Week 3 ✅

This week was all about understanding what makes ML models reliable—from handling overfitting and regularization to evaluating performance with the right metrics, while exploring classification algorithms like KNN and SVM.

@cnaiitg
#SummerAnalytics2026 #BuildInPublic

[Tanvi Kumar @tnvikumar05]

Focused on:
• Bias-Variance Tradeoff, Overfitting & Regularization
• ROC-AUC, Confusion Matrix & Evaluation Metrics
• KNN and implementation
• Multinomial & Gaussian Naive Bayes
• SVM and implementation

@cnaiitg
#SummerAnalytics2026 #BuildInPublic