"I do not trust data that looks too clean.
it usually means someone stopped asking why."
The forest realm is preparing your welcome... ✨
SELECT * FROM magic;
records: 40M+
pipeline: running

Niki Choksi

Data Analyst / Pipeline Builder / Curious Human

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pipeline running
niki@forest:~$
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SCORE: 12,450 SPD: 180
Choose Your Path

The Story So Far

Chapter I
About Me
The curious beginning. Who I am, what drives me, and why I chase the "why" behind every number.
Chapter II
Education
From Mumbai to Boston. A journey across oceans to turn curiosity into expertise.
Chapter III
Experience
The battles fought and won. Enterprise BI, startup chaos, and everything in between.
Chapter IV
Projects
Spells cast in code. Fraud detection, AI trading, and FIFA predictions.
Chapter V
The Arsenal
Every tool in the armory. Runes, spells, and instruments of data warfare.
Chapter VI
The Riddle Cauldron
Brew SQL potions for fun. A playful quiz for fellow query-weavers.
Chapter VII
The Conservatory
What grows in the greenhouse when the screens go dark. Passions beyond the pipeline.
Chapter VIII
The Map
Send a raven. Cast a message. Find me across the realms.
Chapter I

About Me

I don't just analyze data. I chase the "why" behind every number, every anomaly, every dashboard that doesn't tell the full story.

Growing up on fairy tales and video games taught me that every world has hidden patterns waiting to be discovered. That curiosity never left me. It evolved into a career built on asking better questions and building better systems to answer them.

With 4+ years across enterprise BI, startup analytics, and modern data stacks, I have built pipelines that process 40M+ records, cut reporting latency by 30%, and turned raw chaos into dashboards that actually make sense.

But here is the thing: I am never satisfied with "it works." I am the person who stays up optimizing a query from minutes to seconds, who builds a RAG chatbot just to make project context instantly accessible, who automates tedious manual workflows because repetition feels like a broken system begging to be fixed.

I believe data should feel human: clear, beautiful, and purposeful. Whether I am modeling dimensions in Snowflake, scraping 80K records with Python, or designing a Power BI dashboard with drill-throughs that make stakeholders say "oh, I get it now" - I am always learning, always building, always curious.

Currently based in Denver, CO. Open to opportunities where data meets impact.

Chapter II

Education

From the bustling streets of Mumbai to the snowy campuses of Boston. A journey of 8,000 miles driven by one simple belief: the best investment is the one you make in yourself.

Mumbai
India
✈️
Boston
USA
🎓
Master of Science
Information Systems
Northeastern University | 2023 - 2025
🎓
Bachelor of Science
Information Technology
University of Mumbai | 2017 - 2020

My time at the University of Mumbai gave me the foundation: databases, programming, and the realization that data is the language of the future. But I wanted more. I wanted to see how the world builds at scale.

So I packed my bags, crossed the ocean, and landed at Northeastern University in Boston. There, I deepened my craft in information systems, worked on real-world projects, and discovered that the gap between "academic knowledge" and "industry impact" is exactly where I thrive.

Chapter III

The Chronicles

🏛️

Data Analyst

Rebecca Everlene Trust Company The Trust Keeper Feb 2026 – Present

In the halls of the Trust, I guard the ledgers of many. Through Amazon Redshift I query the flows of gold and trust, weaving QuickSight dashboards that reveal the hidden patterns of customer kinship. My incantations in SQL have quickened the oracles, reducing the wait for prophecy by thirtyfold.

Redshift QuickSight SQL Customer Segmentation
🤖

Data Scientist

Crewasis AI The AI Smith Jan 2025 – Apr 2025

At the forge of Crewasis, I built the great ingestion engines that swallowed eighty thousand records whole, automated and unbroken. I breathed life into a RAG-powered familiar that served seven masters across their domains. From the churning seas of data, I surfaced the omens of departure, shaping the very strategy of retention.

RAG Python Churn Analysis Automation
🏗️

Senior BI Systems Analyst

Infosys Limited The Pipeline Architect Nov 2020 – Sep 2023

For three winters at Infosys, I raised monuments of data. I architected dbt models that processed forty million records without faltering. Ten ETL pipelines I built into the Snowflake citadel, each one a bridge between chaos and clarity. I forged data quality wards that caught errors before they could spread, and delivered fifteen Power BI grimoires, each bound with row-level security spells.

dbt Snowflake ETL Power BI Data Quality
📜

Data Analyst

Fasttrack Software The First Scribe Feb 2020 – Oct 2020

My first quest at Fasttrack: to read the bones of product usage and find where the gold leaked. I replaced the old Excel scrolls with living Tableau visions, and strengthened the wards of data quality until accuracy reached ninety-eight percent.

Tableau Excel KPI Tracking Data Quality
Chapter IV

The Alchemy Lab

Where experiments become elixirs

🛡️ The Warding Brew
⚖️ The Golden Ratio
🔮 The Oracle's Draught
🗺️ The Cartographer
📜 The Archivist
Chapter V

The Arsenal

Every instrument, every rune, every spell at my command

⚔️ Battle Magic Analytics & Visualization

📊
Power BI
Scrying Mirror
📈
Tableau
Crystal Lens
🔍
QuickSight
Oracle Glass
📗
Excel
Apprentice Slate

🔮 Summoning Engineering & Pipelines

🐍
Python
Serpent Staff
SQL
Lightning Rod
❄️
Snowflake
Frost Compass
🏗️
dbt
Builder's Hammer
📦
AWS
Cloud Sigil
🐘
PostgreSQL
Stone Tablet

👁️ Divination Machine Learning & AI

🤖
Scikit-learn
Prophecy Deck
🧠
TensorFlow
Neural Grimoire
🗣️
RAG / LLMs
Whisper Charm
🐼
Pandas
Shape Shifter
Chapter VI

The Riddle Cauldron

Brew SQL potions for fun. Test your query-weaving skills.

Question 1 of 5
🔮

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All Potions Brewed!

Chapter VII

The Conservatory

What grows when the screens go dark

The Speed Vine Racing simulators & track days
The Wisdom Fern Fantasy novels & data stories
The Wanderlust Moss New cities, new cultures, new data
The Spice Bloom Kitchen experiments & flavor alchemy
The Query Cactus SQL puzzles & late-night optimizations
Chapter VIII

The Map

Send a message. Find me across the realms.

N
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