Financial Data Analyst

SAHAJ DEEP CHHABRA

Salt Lake City, UT ***** • 385-***-**** • ************.****@*****.*** • www.linkedin.com/in/sahaj-chhabra EDUCATION

University of Utah, David Eccles School of Business, Salt Lake City, UT May 2020 Master of Science in Finance GPA-3.67

• Specialization: Financial Data Analysis

Master of Science in Information Systems GPA-3.87

• Specialization: Data Science and Analytics

• Winner Graduate Team: Game Day Super Bowl Ad Analytics Competition SVKM's Narsee Monjee Institute of Management Studies (NMIMS), Mumbai, India May 2017 Bachelor of Technology in Electronics Engineering GPA-3.25

• Represented India at NASA’s annual MATE international underwater robotics competition TECHNICAL SKILLS

Certifications : Financial Management, Big Data, CFA - Level 1 Candidate Programming Languages : Python, R, JAVA, VBA (2+ years) Business Intelligence : Tableau, Power BI, Advanced Excel (2+ years) Databases : SQL Server, MySQL, NoSQL- MongoDB, (2+ years) Machine Learning : Statistical Reasoning, Regression, Classification, Decision Trees, Random Forest Tools : Microsoft Office, Bloomberg Terminal, Jupyter Notebook, R Studio PROFESSIONAL EXPERIENCE

Cricut, Inc - Data Analyst Intern January 2020 – August 2020

• Developed a reporting system in Tableau to analyze trends in hardware issues extracted from Zendesk Member Care System (CRM).

• Built an NPS survey comment analysis system that utilized the LDA technique for Topic Modeling and found aspects for opinion mining to detect the quality of components reported by members.

• Performed statistical tests to detect anomalies and determined a more reliable algorithm to improve the product’s cutting efficiency by 74%.

• Created a unified anomaly detection system that defined rules to accumulate testing data from multiple teams and presented visualizations to highlight defects in pre-production phase machines. University of Utah - Graduate Research Assistant February 2020 – November2020

• Designed data pipeline by setting rules on Twitter Rest API to fetch 1.5 million tweets for Super Bowl LIV.

• Implemented the CRISP-DM methodology to design a data science process for quantifying information diffusion in social media advertisements.

• Built ML algorithm and performed feature engineering to classify tweets based on networking density for analyzing advertisement’s performance.

ACADEMIC PROJECTS

Spotify Data Analytics January 2021 – Present

• Computed skip probability by performing feature importance using random forest algorithm on 160k+ tracks containing 60 features of 9000 users.

• Predicted whether a song will be skipped with 90% accuracy using logistic regression model.

• Predicted which hour of the day the user would have the highest favorability towards Spotify-generated playlist and built recommendation system using K-Nearest Neighbors.

• Provided business insights and developed strategies to make marketing decisions and build a better playlist. Financial Report Analysis August 2020 – October 2020

• Performed Qualitative Business Risk Analysis and Quantitative Financial Risk Analysis by consulting publicly available financial statements and Bloomberg Terminal.

• Provided recommendation on a potential investment by assigning a Credit rating and creating a case report that included S.W.O.T, Risk and quantitative analysis.

Financial Business Modeling and Forecasting May 2020 – July 2020

• Created pro-forma income statement and balance sheets and performed financial planning and analysis to strategize the growth of the firm and developed an exit strategy for superior returns.

• Used pro-forma analysis to model the value of the firm under different expense and expansion scenarios. Improved the underlying assumptions to perform better financial planning.

• Provided visualizations and recommendations to accompany the analysis and projected growth in Revenue, Cash Flows, and Net Income.

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