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Let me introduce myself, your honor...
So yeah, it's me, Arshi Bansal π
Welcome to my GitHub where dreams go to get 404βd.
I write code that works once and then ghosts me forever.
Code: behaves like it has a personality π€
Me again: desperately tries to stay sane.
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Looks like weβre on the same page.
Hereβs how you can reach the perfectly put-together low-maintenance human behind the chaos:
β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’
- B.Tech in Computer Science β learning to think logically while emotionally debugging life (^βΏ^)
- Data Science & Data Analysis β turning uncooperative data into insights that pretend to behave (ΰ² βΏΰ² )
- Predictive & Business Analytics β forecasting outcomes and translating numbers into decisions adults understand (ΚβΏΚ)
- AI / ML / Neural Networks β teaching machines patterns while questioning my own (α(ββΈβΌβΆ)α)
- SQL & Informatica β building ETL pipelines and interrogating databases professionally (ββ _β )
- Python + Java + DSA β solid fundamentals, minimal drama, maximum emotional support (β’_β’)
β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’
Languages I torture myself with daily (^_^) :
Frontend & Backend wizardry (o_o) :
Databases I sweet-talk to survive (β’βΏβ’) :
Tools & Platforms that judge me (ββΏβ) :
Data Science / ML Libraries I feed caffeine to (β βΏβ ) :
Data Visualization & BI Tools that stare at me (ΰ² _ΰ² ) :
β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’
Currently focused on:
π Data Science & Data Analysis β turning raw data into confusion insights
π Predictive Analytics β forecasting outcomes with math and mild optimism
π AI / Machine Learning / Neural Networks β teaching models patterns I barely understand
π SQL & Databases β asking tables the right questions (eventually)
π Business Analysis β making sure insights donβt die in a slide deck
π Python β the glue holding all of this together
π Java & DSA β survived learned, still respected
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Daily LeetCode grind β where confidence goes to die
politely disappear and logic is slowly rebuilt.
β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’
Projects that survived my brain (mostly) π΅βπ«π₯
Built with Python, Streamlit, VADER sentiment analysis, and an unhealthy obsession with the news π°π». This app scrapes crypto and stock headlines in real time, judges their emotional state, and delivers them in a sleek, mildly hypnotic UI that might make you question your life choicesβ¦ or at least your portfolio. Turns chaotic headlines into βBullishβ, βBearishβ, or βNeutralβ insights while I pretend I understand the marketβs mood swings π€―.
Warning: may cause sudden existential dread, panic about investments, or the urge to doom-scroll endlessly π π.
Catch the Sentiment π°
Crunching historical stock data with Python, Jupyter Notebook, ML algorithms, and Python libraries to predict the unpredictable.
Turns raw chaos into trends that might fool you into thinking I know what Iβm doing πΈπ€―.
Warning: the market doesnβt read my code π .
Check the Thrill π
Using Power BI to predict the unpredictable world of real estate π.
Mapped profits, losses, and the types of houses people actually prefer.
Turns raw property data into insights that might make you question your life choices ποΈπ€―.
Warning: data might make you question your life choices ποΈπ€―.
Enter the Mansion of Madness ποΈ
Using SQL, Power BI, Python, Jupyter Notebook, ML algorithms, and Python libraries to analyze anime trends, viewer preferences, and ratings ππΏ. Includes a Streamlit web app where you can filter your preferences by genre, rating, and popularity.
Disclaimer: binge recommendations may ruin your sleep schedule and question your life choices π€―π
.
Built entirely with Java Swing to track expenses, budgets, and financial disasters.
Helps me (and hopefully you) figure out where all the money mysteriously disappears ππΈ.
Heads up: may induce guilt, regret, and sudden urges to check your wallet π π°.
See the chaos π
Built with Python and a simple GUI to show virtual memory algorithms in action π₯οΈβ‘.
Implements FIFO, Optimal, LRU, and MRU strategies while I pretend I fully understand OS π€―.
Brace yourself: may make you rethink every time your program crashes unexpectedly π π₯.
Geek mode ON β‘
Built entirely with Python and its libraries π to analyze cyber crime trends, detect patterns, and pretend I understand hackers ππ».
Turns chaotic cyber data into slightly less chaos while I question if my own passwords are safe.
Enter at your own risk: may cause paranoia and sudden urges to change passwords π π.
Investigate πβ’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’
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β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’
Probably not, but letβs pretend miraculously yes, because future scope somehow existsβ¦
Growing as a Data Scientist β working with complex data to drive impact (^βΏ^)
Advancing in Predictive Analytics β building models that stay reliable over time (ΚβΏΚ)
Deepening AI / ML / Neural Network expertise β focusing on understanding, not just training (ΰ² βΏΰ² )
Scaling work with SQL & Databases β handling larger and messier systems (ββ _β )
Strengthening Business Analytics β aligning insights with real decisions (Β¬βΏΒ¬)
Designing cleaner data pipelines β fewer hacks, more structure (ΰ² _ΰ² )
Continuous learning β because this field refuses to stand still (β§β‘β¦)
β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’ β’
Who am I? β Arshi Bansal: professional overthinker, data whisperer, and occasional bug creator ππ»
What I do? β Turn messy datasets into slightly less terrifying insights, confuse ML models for fun, and occasionally convince myself I understand statistics π€―
Skills & Tools: Python, Java, SQL, Power BI, Tableau, Streamlit, Jupyter, Python libraries & frameworksβ¦ basically everything that silently judges me π
Current Focus: Pipelines, dashboards, predictive models, and surviving debugging sessions without existential crises β‘
Fun Fact: Solve equations at 3 AM, question my life at 4, then write code that only works on the 47th try π΅βπ«
Bottom Line: Code. Chaos. Coffee. Repeat. Bugs are not a bug, theyβre a feature ππ₯