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’
May it please the court, allow me to present myself...
Yes unfortunately, itβs still me β Arshi Bansal π
Welcome to my GitHub, where aspirations come to quietly fail with a 404 status.
I write code that works beautifully exactly once, then pretends we never met.
Code: acts like it has emotions and opinions π€
Me: emotionally negotiating with it to just behave today.
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’
Seems like weβve reached mutual understanding.
If you still insist on proceeding, hereβs how to contact the well-organized low-effort human managing this chaos:
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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’ β’ β’ β’ β’
- B.Tech in Computer Science β learning how to stay emotionally stable while code throws errors like it has personal issues (^βΏ^)
- Data Science & Data Analysis β forcing chaotic datasets to confess patterns they were clearly hiding (ΰ² βΏΰ² )
- Predictive & Business Analytics β professionally forecasting the future using statistics and controlled optimism (ΚβΏΚ)
- AI / ML / Neural Networks β building models that learn faster than I can explain what theyβre doing (α(ββΈβΌβΆ)α)
- Deep Learning β stacking layers of math until even I start pretending it makes perfect sense (β’_β’)
- SQL β interrogating databases that respond only when they feel like it (ββ _β )
- Python + Java + DSA β writing βclean codeβ in theory while reality ships bugs with confidence (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 chaos into βactionable insightsβ with confidence and selective blindness
π Predictive Analytics β forecasting outcomes using math, patterns, and hope that reality cooperates
π AI / Machine Learning / Neural Networks β building systems that learn patterns Iβm still trying to fully decode myself
π SQL & Databases β politely interrogating tables until they finally admit what I need
π Business Analysis β translating technical truth into slides that wonβt get ignored in meetings
π Python β the universal adapter for fixing everything and pretending it was planned
π Java & DSA β survived the struggle, still occasionally haunted by it
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
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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’
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’
Letβs assume this actually works outβ¦ statistically unlikely, but still on the roadmap.
Growing as a Data Scientist β turning complex data into something vaguely meaningful (^βΏ^)
Advancing in Predictive Analytics β building models that behaveβ¦ most of the time (ΚβΏΚ)
Deepening AI / ML / Neural Networks expertise β trying to understand what Iβm building while building it (ΰ² βΏΰ² )
Scaling with SQL & Databases β handling data that gets messier the more I look at it (ββ _β )
Strengthening Business Analytics β turning insights into decisions people might actually use (Β¬βΏΒ¬)
Designing cleaner data pipelines β replacing chaos with slightly more organized chaos
Continuous learning β because the field updates faster than documentation does (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: overthinker by default, data interpreter by training, and accidental bug engineer by experience ππ»
What I do? β Translate messy datasets into somewhat usable insights, occasionally confuse ML models, and pretend statistics makes emotional sense π€―
Skills & Tools: Python, Java, SQL, Power BI, Tableau, Streamlit, Jupyter, and an ever-growing list of things that silently intimidate me π
Current Focus: Building pipelines, dashboards, and models that behave better than my debugging sessions β‘
Fun Fact: Solve problems at night, regret life choices in the morning, still ship code anyway π΅βπ«
Bottom Line: Write code. Create chaos. Consume coffee. Repeat. Bugs included free of charge ππ₯