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Early-career finance enthusiast with FP&A and valuation training

I completed the Attronica FP&A and private company valuation externship to build practical finance skills before starting my career.

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Work samples

Work shown is from the Attronica Financial Planning & Analysis and Private Company Valuation externship, demonstrating hands-on exercises in forecasting and valuation methods.

  • Economic Risk Calculation using Machine Learning
    Economic Risk Calculation using Machine Learning

    Led the development of a machine learning algorithm to predict economic property and crop damage caused by U.S. tornadoes; conducted a literature review of prior machine learning applications in disaster economics, identified a gap in tornado-specific predictive modeling, designed and compared multiple predictive models, and addressed significant right-skew in damage distributions through data transformation and flexible non-parametric modeling approaches.

  • The Power of Problems
    The Power of Problems

    Collected academic performance and social demographic data on 60 students from marginalized social groups, modeled relationship between exposure to higher level mathematics and tracked their long-term performance in middle and high school, published the paper in an educational research journal under the guidance of Mr. Syam Chandra, Lead Editor, and presented the paper at prestigious mathematics conferences such as the Joint Mathematics Meeting and the Hawaii International Conference of Education.

About me

I completed the Attronica FP&A and private company valuation externship to build practical finance skills before starting my career.

I'm Adam Sandhu. I am early in my career and have completed the Attronica Financial Planning & Analysis and Private Company Valuation externship to gain hands-on exposure to FP&A and valuation work.

Externships

SQL & Database Architecture Externship with Breaking Games

In progress

Experience

Music Producer, Music Data Analyst

3eeStudio · Sep 2021 - Present

Teaching Assistant

Transitions Lab University Prep School · May 2021 - Sep 2021

Education

University of Toronto

Honours Bachelor of Science (Double Major in Mathematics and Economics)

Skills

Financial planning and analysisPrivate company valuationFinancial forecastingValuation methods
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Economic Risk Calculation using Machine Learning

Led the development of a machine learning algorithm to predict economic property and crop damage caused by U.S. tornadoes; conducted a literature review of prior machine learning applications in disaster economics, identified a gap in tornado-specific predictive modeling, designed and compared multiple predictive models, and addressed significant right-skew in damage distributions through data transformation and flexible non-parametric modeling approaches.

View all work
Back to work

The Power of Problems

Collected academic performance and social demographic data on 60 students from marginalized social groups, modeled relationship between exposure to higher level mathematics and tracked their long-term performance in middle and high school, published the paper in an educational research journal under the guidance of Mr. Syam Chandra, Lead Editor, and presented the paper at prestigious mathematics conferences such as the Joint Mathematics Meeting and the Hawaii International Conference of Education.

View all work
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Breaking Games ↗

✅ Verified by Extern · ⏱️ In progress

SQL & Database Architecture Externship with Breaking Games

Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.

Analytics Database DesignData AnalysisSQL FundamentalsData Storytelling

Overview

The externship consolidated six CSV data sources into a single analytics database and produced a Q4 dashboard. Work included cataloguing source tables, designing a relational schema, and preparing transformed datasets for dashboarding. Deliverables comprised the database schema, ETL mappings, and the dashboard dataset.

SQL & Database Architecture Externship with Breaking Games

What I've accomplished

I inventoried six data sources and produced five 'instant answer' SQL queries reporting top products, catalog size, total Meta ad spend, and unique checkout sessions for the analytics database.

Project breakdown

On Week 1 I inventoried six data sources, ran SQL queries in the provided SQLite DB, and pasted five instant answers (top products by units and revenue, catalog size, total Meta ad spend, unique checkout sessions).

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