Data Analyst · Business Analytics

Khushee Yadav.

— building bridges between numbers & narrative.

Final-year BCA student & Data Analyst Intern at Bluestock Fintech. I sit at the seam between Data Analytics and Business Analysis — cleaning the noise, shaping the story, and shipping insight that a stakeholder can actually use on Monday morning.

SEE THE WORK ↓
LIVE · SIGNAL VS. BENCHMARK
Fund Nifty100
AUM MIX
from /work · mutual-fund-analytics
Data & Strategy ✻ Python SQL ✻ Power BI Pandas Storytelling ✻ Data & Strategy ✻ Python SQL ✻ Power BI Pandas Storytelling ✻
About Me

Three chapters.

§ read slowly
01

About

I grew up asking why the numbers said one thing when the story said another. Now my work focuses on closing that gap. I work with financial data, product data, consumer signal — and I care about the humans who eventually read the dashboard.

02

Approach

Clean first, model second, decide third. I inherit messy CSVs and hand back a scorecard someone can act on before lunch. If the pipeline isn't reproducible, it isn't finished.

03

Standard

I'd rather ship three sharp findings over thirty polite ones. A chart earns its place on the page only if it changes what someone decides to do next.

Selected Work

Numbers, made legible.

Two case studies. One from the world of fintech risk, one from consumer music streaming. Both start with dirty data and end with a stakeholder-ready decision.
2026Data Engineering · Risk Analytics · Storytelling

Mutual Fund Analytics Platform

An end-to-end ETL & risk-analytics engine on 1,00,000+ AMFI records.

1,00,000+
Records Processed
40
Funds Scored
10
SQL Queries
9
Visualisations
  1. 01

    Ingested and cleaned 1,00,000+ rows of real AMFI mutual fund data across 10 datasets using Pandas; designed a SQLite star schema with 6 tables and a fully automated ETL pipeline via SQLAlchemy.

  2. 02

    Computed institutional-grade risk metrics — Sharpe, Sortino, Alpha, Beta, CAGR, Max Drawdown — for 40 funds; built a composite 0–100 weighted scorecard ranking all funds.

  3. 03

    Delivered 9 interactive Plotly / Seaborn visualisations covering AUM distribution, investor demographics, fund correlation heatmaps and benchmark comparisons.

  4. 04

    Wrote 10 analytical SQL queries surfacing YoY SIP growth, category-wise expense ratios, and top-fund rankings.

PythonPandasSQLAlchemy SQLitePlotlySeaborn
VIEW ON GITHUB ↗
COMPOSITE SCORECARD · 0–100 Sharpe · Sortino · Alpha · Beta · CAGR · MDD
AUM MIX Equity · Hybrid · Debt · Index · Other
2026Statistics · BI Dashboards · Consumer Data

Spotify Track Popularity Analysis

What actually makes a track popular? A statistical investigation on audio features.

30k+
Tracks Analysed
13
Audio Features
12
Genres Compared
2
Dashboards
  1. 01

    Merged and cleaned two Kaggle datasets, handling missing values, duplicates and custom labels; identified that high-popularity tracks are statistically louder, more energetic and less acoustic.

  2. 02

    Built an interactive Power BI dashboard with KPI cards, scatter plots, bar charts and a genre slicer to present findings in a business-ready, stakeholder-friendly format.

PandasPower BIKaggleStatistics
VIEW ON GITHUB ↗
ENERGY VS. POPULARITYn = 30,000 tracks
AVG. POPULARITY BY GENRE
Toolbelt · Experience

What I reach for.

The stack behind the projects, and the room where the work happens.

Languages

  • Python
  • SQL
  • DAX
  • HTML/CSS

Analysis

  • Pandas
  • NumPy
  • Excel
  • Statistics

Visualisation

  • Power BI
  • Plotly
  • Seaborn
  • Matplotlib

Databases

  • SQLite
  • MySQL
  • PostgreSQL
  • SQLAlchemy

Concepts

  • REST API Integration
  • Risk Analytics
  • Business Intelligence

Toolbelt

  • Git
  • GitHub
  • VS Code
  • Google Colab
  • PowerPoint
Experience
Data Analyst Intern
Bluestock Fintech · 2026 – Present
—

Contributing to the Nifty100 ETL project — data cleaning, transformation, analysis and reporting of financial market data.

Education
Bachelor of Computer Applications
IGNOU · 2024 – 2027 (Expected)

Coursework: Data Structures, DBMS, Computer Networks, Java. Class XII (Science) — UPMSP · 90.2%

Certifications
Data Analytics Essentials
Cisco Networking Academy
2026
Data Visualization Job Simulation
Tata Consultancy Services · Forage
2026
Software Development Job Simulation
Tata Consultancy Services · Forage
2026

Let's talk.

Open to full-time analyst roles, internships and freelance data projects — remote or on-site. I usually reply within 48 hours.