Shyamu Yadav — Product & Data Analytics

About Me

I replace manual reporting with reliable, automated data systems.

I'm an Analyst with ~2 years of experience building analytics and data solutions at the intersection of product, finance, and operations. Currently at Furlenco, I work on platform-side analytics that supports multiple teams with consistent, decision-ready data.

What I actually solve:

Manual reporting that eats up hours every week
Inconsistent metrics across finance, ops, and product
Slow, ad-hoc data requests that block decisions

What sets me apart is my focus on practical systems — not just dashboards, but pipelines and workflows that keep working without constant fixes.

0 + Hours Saved

0 yrs Experience

0 + Teams Served

Experience

Junior Analyst

Furlenco

Aug 2024 — Present Bengaluru, Karnataka

Reduced 250+ hours of manual work for the business team by designing and implementing automated data solutions, enabling teams to focus on higher-value projects
Built and maintained a unified reporting system adopted across business, growth, finance, and operations teams — ensuring all teams work with a single source of truth
Worked on "Crystal Project" fulfillment — developed interactive dashboards for real-time system integrity checks, tracking 10,000+ shipments and assets
Recognized as the go-to person for anything related to data, supporting cross-functional teams and promoting a data-driven culture across the organization
Developed automated ETL pipelines using SQL and Python for data extraction, transformation, and loading, ensuring data consistency across all reporting systems

Data Analytics Intern

KultureHire

Apr 2024 — Jun 2024 Remote

Analyzed recruitment and hiring data to identify trends and patterns, supporting data-driven decision-making for the HR and talent acquisition team
Built and maintained dashboards to track key hiring metrics — time-to-hire, offer acceptance rate, and candidate funnel performance
Cleaned, transformed, and validated large datasets using SQL and Python to ensure data accuracy and consistency across reporting
Collaborated with cross-functional teams to understand data requirements and deliver actionable insights improving recruitment efficiency

Projects

01

Yulu — Hypothesis Testing

Comprehensive analysis of factors influencing demand for shared electric cycles. Statistical hypothesis tests on 10,000+ data points, ANOVA validation, and seasonal pattern discovery for business strategy optimization.

Python Statistics ANOVA EDA

View on GitHub

02

Aerofit — Customer Profiling

Descriptive analytics and customer profiling for Aerofit treadmill products. Analyzed customer characteristics to identify target audiences and inform product recommendations.

Python Pandas Visualization EDA

View on GitHub

03

Netflix — Content Analysis

Exploratory data analysis of Netflix's content library, uncovering trends in content production, genre distribution, and global expansion patterns.

Python Pandas Matplotlib EDA

View on GitHub

04

Jamboree — Linear Regression

Predictive modeling using linear regression to analyze admission chances for graduate programs based on academic and research factors.

Python Regression Scikit-learn ML

View on GitHub

Technical Skills

Languages & Libraries

Python SQL PySpark Pandas NumPy Matplotlib MySQL PostgreSQL LaTeX

Tools & Platforms

Metabase Tableau Databricks Spark Excel Google Sheets Git Jupyter Notebook

Core Competencies

Platform Analytics ETL Pipeline Development Dashboard Design Statistical Analysis Hypothesis Testing Data Visualization Reporting Automation Cross-functional Collaboration