Hi! I'm a growth-centric marketing analyst with 2+ years of experience working at an enterprise SaaS startup.
MOST RECENTLY
Some clients' websites I've worked on:
- Medicare Savings Group
- WordPress website revamp, including new UI
- Copywriting to increase bookings
- Custom HTML and CSS code
- Responsive + accessible design, especially since the ICP is seniors 60+
- Website design and copy
- SEO strategy (blog posts + evergreen pages)
- Revamped CTAs to increase consultations
- Wrote custom CSS code for multiple sections
- Auribus Labs (consulting)
PREVIOUSLY
I worked as an associate product manager at Addepar, an enterprise SaaS wealth management startup.
Highlights from my work at Addepar:
- Grew reporting product by 344% (1.12m to 5m+ reports) through BI dashboards, collaborating with Sales and Marketing on campaigns, copywriting strategies, user journeys, and writing help content for 20+ features to increase client engagement by 95%
- Built 3 Looker dashboards & 40 visualizations for business intelligence reporting, reducing time to insights by ~200%
- Revamped 30 Looker fields & resolved Snowflake ETL & data pipeline issues, enhancing data accuracy to 95%+
- Delivered 40 features using Looker dashboards, SQL, and Heap data; reduced ticket backlog by 20%
- Developed user journeys and help content for new visualizations feature (heatmaps) for $715B industry
Read more: Building Looker dashboards that saved 10 hours per week →
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Nice things some people say :)
Here's what my coworkers and clients have said about my marketing and product skills:
"Simply put: Hassan is a superstar … he performs at a level well above others with similar years of experience, and I constantly received positive feedback about him from his peers, senior colleagues, and leadership … I could always rely on him to come up with an answer to any analytics questions the team or leadership had."
- Hakan, Senior Lead Product Manager at Addepar
"Working with Hassan has been such a pleasure and a relief for us. Not only does Hassan make amazing websites and marketing strategies, he truly gets to know you and your business, instead of applying a cookie cutter approach like many others. Hassan learned about our business and then redesigned our website (almost overnight I might add) from a basic design into a professional business website which we have received compliments about already. Hassan is a great communicator, listens to your ideas and then makes them a reality. Hassan's communication, knowledge, and skills are top notch."
- Chris, CEO MedicareSavingsGroup.org
"Hassan provides a critical eye for any website. His UI/UX suggestions are specific and directly actionable."
- Marketing Client
"The review Hassan gave me was probably one of the best improvements I could have made for my site. From giving me tips on my web copy to helping me make my WordPress blog look more professional. Not to mention the valuable information he gave me on how to market my content, which will increase brand awareness and drive more traffic to my site. I TOTALLY recommend him to anyone wanting to improve their site."
- Marketing Client
"Hassan applied excellent analytical thinking to develop Looker dashboards, ensuring the team had a thorough understanding of the product. His efforts held the team accountable for making data-informed decisions, significantly enhancing our overall performance."
- Chris, Senior Software Engineer at Addepar
"Hassan's expertise in SQL, Heap, and Looker really stood out ... Perhaps more importantly, he was able to tell compelling stories with the data, resulting in realized changes to the product."
- Cairo, Product Analyst at Addepar
"Thank you so much! Just reading your copy made me want to buy my own stuff! Amazing job!"
- Marketing Client
WORK
Here's some analytics projects I've done:
- Python
- Jupyter Notebook
- Pandas
- Matplotlib
I used a data set with 12 months' worth of sales data (over 186,000 records) to answer business questions using Python, Pandas and Matplotlib in Jupyter Notebook. Tasks include data cleaning, grouping dataframes data, applying aggregate functions, getting combinations of product items, and plotting and configuring five Matplotlib graphs. I also provide five actionable strategies to optimize sales.
- Python
- Pandas
- Beautiful Soup
- Jupyter Notebook
- Web scraping
Wrote Python to scrape, transform & clean data for 540 Disney movies to prepare the data for analysis. Removed Wikipedia references from the data, split up strings of names into nested lists, investigated and fixed "NoneType" object errors, and converted dates to datetime objects.
Libraries used: Beautiful Soup, Requests, JSON, Datetime, Pickle
- Tableau
- Data visualization
- Statistics
I analyzed GameStop store data using two data sets from 2020-2022. I take a step-by-step approach to building four Tableau dashboards: discuss initial considerations and questions to answer that are relevant to the business and the industry, analyze the data, and explore UI/UX and graphing best practices.
Read more →- Advanced SQL
- Window functions
- Data cleaning & analysis
I used SQL to analyze App Store data for 7200 apps in order to find what App Store-specific factors contribute to the success (high user ratings) of an app, including app genre, price, languages supported, and app description. The SQL code also utilizes window functions to list the top-rated apps for each genre. Six actionable business recommendations are provided for stakeholders based on the SQL output.
- SQL
- CTEs & window functions
- Statistics
I used SQL to create a statistical summary output using a publicly-available data set for over 1 million Amazon transactions. The SQL code uses multiple joins, CTEs, and window functions to create a basic statistical summary output for sales data from 2020-2022. I incorporate SQL industry standards and best practices in the code, as well as block and in-line comments to explain each step.
- Linear regressions
- Causality
- Statistical tests
I published an applied econometrics research paper as a first author titled "Investigating the Causality Between Remittances, Infant Mortality, and Economic Growth in India: A Cointegration and Vector Error Correction Model Analysis". The paper analyzes the impact of remittances on human development as measured by infant mortality rates and real GDP per capita in India using time series data for the 1975-2018 period.
Model and statistical tests utilized:
- Vector Error Correction Model (with dummy variables)
- Cointegration analysis using the Johansen procedure
- Zivot-Andrews single-break unit root tests
- Augmented Dickey–Fuller (ADF) tests
- Granger Block causality tests