Data Analyst Scientist

Karthik Iyer (US Citizen)

978-***-**** ** Casie Lane **************@*****.*** linkedin.com/in/karthikiyer12 Executive Summary

Data Scientist & Analyst with a background in economics and journalism, combining rigorous statistical/econometric modeling with compelling data storytelling. Proven success applying Python, R, and MMM techniques to drive actionable Education

Suffolk University Boston, MA. MS in Business Analytics (MSBA), (3.9 GPA, Jan 2023-May 2024) University of Connecticut Storrs, CT. Bachelor of Arts in Economics (Aug 2017-May 2021) Dean’s List Academic Achievement: Spring & Fall 2020; New England Scholar: Spring and Fall 2020 Professional Experience

M-Squared Attribution, Boston, MA: Data Scientist (Oct 2024 - Present)

● Built and analyzed MMMs to assess media effectiveness and attribution, improving ROAS by up to 20% for clients in real estate and jewelry through inclusion of key external variables

● Validated third party campaign-level spend and performance across TV, digital, and search platforms (iSpot, Pathmatics, and Kantar)

● Identified that competitors were driving 15% more real estate inquiries than the client, prompting improved brand investment strategy.

● Leveraged exploratory data analysis techniques, ad-hoc graphical analysis, and statistical modeling to verify data anomalies and inform client strategy

● Identified key economic variables through cross-functional research, improving model performance and increasing client profit margin by 10% via media spend optimization M-Squared Attribution, Boston, MA: Junior Analyst (May-December 2023)

● Compiled and examined media data for clients to run sensitivity analysis

● Analyzed lift tests to identify over/under-saturated media investment opportunities, saving clients up to 20% in media spend optimization

● Hosted and produced “Attribution Radio”, a YouTube series explaining media measurement trends, helping drive leads for M-Squared’s masterclass and consulting pipeline Morgan Stanley, New York City, NY: Virtual Engagement Associate (Mar-June 2022)

● Optimized digital marketing strategies to help financial advisers address their book of business, engaging dormant clients and increasing the sum total of dollars invested by 17%

● Licensed with Series 7 General Securities Representative Qualification Examination Redfin, Seattle, Washington: Remote Contract Position as Data Analyst (Aug-Sep 2021)

● Analyzed data and created narratives for publication that featured on Redfin’s data blog that informed journalist reporting for reputable outlets such as Bloomberg and Reuters

● Created data visualizations to depict statistical trends and correlations using Excel, Power BI and Python

● Conducted economist interviews to broaden publication perspectives Skills

Hard Skills:

Python (Pandas, NumPy, Matplotlib, PyTorch), R (Robyn, dplyr, ggplot2), SQL, SAS (Enterprise Guide & Miner), Excel, Power BI, Tableau, AWS, SAP, Jira, Visio, WordPress, Google Suite, Looker Studio Soft Skills:

Strong communication, analytical thinking, data storytelling, adaptability, collaboration, attention to detail, public speaking Capstone Project

Link: https://drive.google.com/drive/folders/1yG4reU7Tj-bz80VUXfsjxwcyhkKIfzXd

● Developed a data mining model to predict price inflation in MA counties, identifying high-value areas for residential and commercial investment.

● Cleansed and analyzed multiple unstructured datasets to uncover pricing trends across various property types Academic Projects

Projects Link: https://drive.google.com/drive/u/0/folders/1axhl8WkussSyIyWIcc8GM2WNzWxV1kJp

● Built a heart disease prediction model using SAS Enterprise Miner with diagnosable condition data and proposed risk mitigation strategies.

● Modeled the impact of income, debt, and utilization on FICO scores, and evaluated NBA player traits affecting in-game efficiency using SAS.

● Conducted case research on healthcare disparities in the U.S. and built a normalized (3NF) relational database using SQL to track regional healthcare access.

● Tracked and visualized global carbon emissions using Excel pivot tables to compare trends across major economies.

Published articles in UConn Daily campus and Medium (Blog)

● 53 Economics and Sports Analysis publications (over 42,000 views cumulatively) for Daily Campus Newspaper for over 3 years in a fast paced news and editorial environment (https://dailycampus.com/author/karthikiyer/)

● Economics & Current Affairs Blog on Medium ( https://karthiks-take.medium.com/) Certificates

● Certified Advanced Attribution Professional (CAAP) (Aug 2024 - Sep 2024)

● SAS Programming (May 2023)

● Business Analytics - From Data to Insights: Wharton School of Business: (Dec 2021- Feb 2022)

● Agile Scrum Essentials (December 2022)

● Global Energy & Climate Policy: University of London (Oct 2021 - November 2021)

● Global Business Leadership at the UConn Global Business Leadership Seminar Series (2019)

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