Sep 2024 – May 2025 · 8 mos · Berkeley, California, United States

• Integrated wearable device data from platforms like Apple Watch, Fitbit, and Whoop to enhance real-time health tracking and personalization.
• Developed Python-based data pipelines and dashboards to analyze health data, applying statistical modeling to extract actionable insights.
• Designed customer surveys and contributed to marketing strategies, improving user engagement and product development.

May 2024 – Nov 2024 · 6 mos · Dublin, California, United States · Remote

• Analyzed data from thousands of customers and built dashboards to extract insights, driving a 75% increase in engagement.
• Optimized workflows and leveraged predictive insights to enhance conversion rates, improving lead response by 50% through collaboration with sales and engineering teams.
• Developed automated workflows and refined email sequences in HubSpot, streamlining outreach and expanding engagement with enterprise and educational clients.

Aug 2023 – Dec 2023 · 4 mos · Berkeley, California, United States

• Built and optimized data pipelines using Python and SQL to analyze customer behavior, driving revenue growth for client businesses.
• Conducted A/B testing to uncover insights on user experience, helping optimize inventory and pricing strategies.
• Provided data-driven consulting for companies like Quokka Brew Coffee, leveraging statistical analysis and predictive modeling to support business decisions.

Jan 2023 – Aug 2023 · 7 mos · Berkeley, California, United States

• Taught high school students foundational data science concepts through hands-on instruction in Python, SQL, NumPy, and Pandas.
• Led weekly sessions covering statistical analysis, data manipulation, and real-world applications, equipping students with practical skills in data science.

Jan 2023 – May 2023 · 4 mos · On-site

• Assisted over 1,600 students in mastering Java, data structures, and algorithmic problem-solving through labs, office hours, and project debugging.
• Provided hands-on guidance in constructing and optimizing key data structures, including linked lists, binary search trees, heaps, and hash tables, improving student comprehension and performance.

Jan 2023 – May 2023 · 4 mos · Berkeley, California, United States · On-site

• Mentored a group of students in Python, SQL, and regular expressions, helping them master recursion, abstraction, and problem-solving techniques in weekly sessions.
• Led structured discussions and debugging sessions, improving student comprehension and performance, with mentees demonstrating measurable improvement in coding assessments.
• Guided students through advanced programming concepts such as interpreters and object-oriented design, fostering a strong foundation in data structures and computational thinking.

Jan 2022 – May 2022 · 4 mos