Took time off for traveling, visiting family and friends in Europe, networking, and speaking at professional events like MLOps and Python communities.

Silo is a startup backed by a16z, offering fintech and supply chain ERP/marketplace solutions for farmers and produce distributors. I joined Silo at Series A, and we grew to Series C.My focus was on building data science capabilities and shipping AI features. I owned Silo's data roadmap and AI strategy.As the first data hire, I set up and managed Silo's initial data stack, from analytics/BI, ETL, and data pipelines to ML (Snowflake, Stitch, Segment, Amplitude, Airflow, DBT, Hightouch, Mode, Hex, etc.). I established our data analytics function and hired two data analysts. We later added a data engineer to advance our initial data engineering capabilities.I led product development through experimentation, deep dives, statistical modeling, and causal inference, collaborating with product, engineering, and execs. Besides product development, I worked closely with the GTM team on various projects to drive business growth.Key data/ML solutions shipped:- Automated onboarding system using Retool, integrating NLP, ML models, and external APIs, reducing processing time from 8 hours to minutes- Market intelligence and pricing trend platform- White-label embedded reports that provided business intelligence to our customers and boosted their revenue, resulting in increased Silo GMV and revenue- Fraud prevention system in the underwriting process for our loan product- LLM-powered order management system that increased adoption

PicnicHealth is a Y Combinator company in health tech that offers a platform for patients to track their medical records in a structured, easily accessible way. The company's core AI consists of proprietary NLP models and medical LLMs that are used in clinical research.- Led product data science efforts focused on growth by defining key KPIs and guardrail metrics, designing interactive dashboards that tracked user funnels, user segmentation, and engagement.- Developed a churn prediction model that identified at-risk customers and recommended retention strategies, reducing customer churn by 5 percentage points- Designed and conducted A/B tests to optimize onboarding flows, landing pages, and campaigns, guiding product and marketing decisions- Applied statistical modeling and experimentation to optimize operational costs of human-in-the-loop processes - Contributed to changing the company's analytics infrastructure by introducing BigQuery and DBT- Worked side by side with Machine Learning Engineers to advance the development of state-of-the-art NLP models and medical LLM by analyzing models' performance in terms of computational patterns, memory, and delays.

Part of my full-time Master's program. Worked on Computer Vision project 2 days a week:- Built a Computer Vision model using a pre-trained ResNet architecture to automate the identification of objects in complex waste images. Improved model precision by 30% through iterative experimentation, including hyperparameter tuning and data augmentation. - Collaborated with labelers on error analysis and conducted inter-annotator disagreement analysis to identify and resolve inconsistencies in annotations. - Set up a data pipeline to process and store images from waste collection truck cameras using AWS and MongoDB.

- Led a team of 5 analysts overseeing global biotech production through financial modeling, planning, and FP&A consolidation.- Ensure alignment of financial goals and achievement of KPIs- Built and maintained rolling forecasts, budgets, strategic plans, and valuation models to evaluate strategies, cost optimization, and M&A opportunities. - Delivered significant cost savings through advanced techniques like time-series, regression, Monte Carlo simulations, sensitivity/scenario analysis, and DCF modeling.

- Led quarterly business performance review processes, supporting the CFO with financial objectives of $14bn revenue business- Provided recommendations and insights to C-level executives, including CFO and CEO, supporting earnings calls and investor Q&A sessions- Utilized advanced analytics to analyze large sets of data and developed recommendations for the business and strategy decisions- Successfully led a number of data initiatives, including predictive modeling with IBM Watson- Provided mentorship for graduate-level business analyst interns.

Strategy project in Japan: developed a 10-year business outlook and valuation model.

- Worked on a project to switch the entire company’s financial reporting to a Business Intelligence tool. - Developed management reporting and dashboards (incl. KPIs and metrics) and rolled them out to the entire organization including the regional level.- Improved data quality and automated data quality checks and data validation to reduce administrative expenses for the company, reducing admin expenses by 10%

Managed third-party business in Emerging Markets. Directly communicated with customers to support logistics and pricing. Minimized risk by introducing third-party credit review system

Helped the Business Development team prepare due diligence for M&A and in- and out-licensing deals.

Helped product management team for oncology drug exploring ways to engage thought leaders in drug development.

Sales analytics and KPI monitoring of airfreight cargo capacity

Supported international launch activities for NIVEA products