Gracy Singh

Data Analyst

0+ yrs exp 81 · Excellent

About

Data Analyst with hands-on experience in SQL, Python, and Power BI, specializing in building ETL pipelines and dashboards that support business decision-making. Delivered analysis on 10,000+ transaction records and built customer segmentation and KPI-tracking solutions that reduced manual reporting effort and surfaced actionable insights for stakeholders. Strong foundation in statistical analysis and data storytelling for non-technical audiences.

Skills & Expertise (32)

SQL Intermediate

6.5/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

Data Storytelling Intermediate

6.0/10

Years Exp

stakeholder communication Intermediate

6.0/10

Years Exp

Jupyter Notebook Intermediate

6.0/10

Years Exp

Pivot Tables Intermediate

6.0/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

NumPy Intermediate

6.0/10

Years Exp

Feature Engineering Intermediate

6.0/10

Years Exp

Statistical Analysis Intermediate

6.0/10

Years Exp

Data Cleaning Intermediate

6.0/10

Years Exp

DAX Intermediate

5.5/10

Years Exp

VS Code Intermediate

5.5/10

Years Exp

GitHub Intermediate

5.5/10

Years Exp

Git Intermediate

5.5/10

Years Exp

Postgresql Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

Conditional Formatting Intermediate

5.5/10

Years Exp

Index-match Intermediate

5.5/10

Years Exp

XLOOKUP Intermediate

5.5/10

Years Exp

Tableau Intermediate

5.5/10

Years Exp

Power Query Intermediate

5.5/10

Years Exp

A/B testing Intermediate

5.5/10

Years Exp

Relational schema design Intermediate

5.0/10

Years Exp

CRUD Operations Intermediate

5.0/10

Years Exp

CTEs Intermediate

5.0/10

Years Exp

Joins Intermediate

5.0/10

Years Exp

Subqueries Intermediate

5.0/10

Years Exp

Window Functions Intermediate

5.0/10

Years Exp

EDA

Work Experience

Data Analytics Intern

TechnoData Analytics

Aug 2025 - Dec 2025

Built ETL pipelines on superstore data using Pandas — cleaned, transformed, and validated raw records for downstream business reporting, improving data reliability for weekly sales reviews. Developed Power BI dashboards monitoring sales and inventory KPIs across multiple product categories, reducing manual reporting time by an estimated 30–40% and standardizing recurring reporting cycles for the team. Presented findings and dashboard walkthroughs to non-technical stakeholders, translating raw metrics into clear, actionable recommendations.

Research Consultant — Quantitative & Statistical Analysis

WorldQuant Brain

Apr 2025 - Jul 2025

Applied statistical modeling and feature engineering to large-scale financial datasets, using rank-based and time-series operators to uncover predictive signals across US equity markets — building and testing 100+ models along the way. Iterated on model logic using performance metrics and correlation analysis, then pushed 10+ models through a full validation pipeline — sharpening skills in hypothesis testing and quantitative evaluation that carry straight over to business analytics.