Sep 2022 – Jan 2024 · 1 yr 4 mos

• Participated in a research group at MIT, led by Professor Dr. Javier Viana Perez exploring methods, enhancing coding skills, and creating algorithms for exoplanet research - I was not officially affiliated with MIT as a student or employee.

Dec 2021 – Nov 2023 · 1 yr 11 mos · Remote

• Pioneered customer data to drive transformative advancements in Amazon key search terms, spearheaded end-to-end data lifecycle projects, and optimized machine learning models as part of a collaborative team of industry experts, including a Data Scientist and Senior Data Engineer, within a medium-sized organization in the data science industry.
• ● Generated multiple sets of 20-50 written and interactive pages for classification and regression model metrics which covers 8+ each of the most common machine learning models, evaluation scoring metrics, and basic model fundamentals, reducing ML theory reading time by 25%.
• ● Captured and analyzed 7000+ customer churn data records of IBM data, assembled a wide range of classification models such as a Logistic Regression and Support Vector Classifier on this data, and constructed hyperparameter tuning, resulting in an accuracy of 90-100%, reducing the time spent in building the architecture preprocessing analysis by 67% in a 3-month window.
• ● Assembled 10+ ML models for the data-driven lifecycle analysis projects in pandas on large structured and unstructured datasets totaling 10,000 to 900,000 records to ensure data preparation standards were exceeded before ML deployment, cutting data processing speed by 78%+ since Jan 2022.
• ● Built the data analysis lifecycle steps and visualizations for a large dataset of Amazon key search terms project from amazon.com in pandas to ensure data integrity and identify trends patterns in 22 distinct Amazon categories resulting in an increase in the speed by 50% + for amazon sellers to have visual value, thus actionable insights amongst product categories and to help support their decision-making in adding products to their online commerce stores.

Dec 2019 – Nov 2020 · 11 mos · Blackhawk, CA Blackhawk Plaza

• Championed a small team of associates, leveraging quantitative revenue data for data-driven decision-making and specializing in analyzing revenue KPIs and sales forecasting within a $10M retail organization while delivering exceptional customer service.
• ● Delivered outstanding customer service by proactively resolving customer inquiries, complaints, and orders through effective phone interactions, in-person guest interactions, and conducting thorough product inquiry checks, resulting in a notable 25% increase in hourly sales revenue since 2019 and driving a substantial sales revenue growth of over $15,000 in 2020.
• ● Led and managed a small team of associates based on quantitative KPI revenue reports and hourly sales data to assess Blackhawk’s hourly sales data target performance based on forecasted revenue data to compare data sales performance from the year prior. This resulted in the generation of a higher UPT profit increase of 3X, combined with an increase of 10% in profits per hour and 4+ more UPT units purchased per hour in 2019 to quarter 4 of 2020.
• ● Managed team of associates, leveraging data-driven insights from quantitative revenue reports and sales data to optimize customer service delivery, driving a 3X increase in UPT profit, 10% rise in profits per hour, and purchase of 4+ additional UPT units per hour from 2019 to Q4 2022.
• ● Analyzed and drafted 18+ weekly, quarterly, and yearly financial revenue reports for Blackhawk, identifying opportunities to enhance customer service performance and drive an 88% increase in hourly revenue.

Dec 2019 – Apr 2020 · 4 mos · San Ramon, California

• Piloted data quality and integrity amongst large databases, importing voluminous data records, uncovered and identified trends to ensure accuracy and dataset health standards in MDM are met within the technology department of a $326M organization in the accounting industry.
• ● Executed data stewarding and cleansing on large databases of 44,000+ golden records in a master management system, “Profisee”, primarily centralized in Armanino’s set business MDM rules on large datasets of Armanino’s business, trusts, funds(Caseware/Axess Tax) to help provide stakeholders with high-quality clean data that is easily accessible in a consistent manner, resulting in increasing cleanliness accuracy of data names, addresses, and entities by 90- 95% amongst golden records in 2019 and 2X in 2020.
• ● Spearheaded applications of MDM business rules to large datasets of 1000-2000 per data alphabet letters, increasing the removal of data duplicates and grammar errors by 7X in quarter 2 of 2020.
• ● Stewarded and analyzed 2000-7000 data records manually in a day by researching data records clientele entities on third-party websites for accuracy and to ensure data congruence and governance were upheld, resulting in time savings by 4X.

Apr 2017 – Dec 2019 · 2 yrs 8 mos

• Catalyzed a successful set up Ecommerce infrastructure within Amazon FBA in Amazon Seller Central, including tasks such as product listing creation for 200 + skus, inventory management, pricing strategy implementation, and optimizing store performance to drive sales and maximize customer satisfaction.
• ● Engineered intuitive and visually appealing online storefronts that captivated customers, resulting in a 75% increase in user engagement and conversions.
• ● Developed 200 + sku product listings, including compelling product descriptions, high-quality images, and accurate categorization, resulting in a 20% increase in conversions.
• ● Managed and monitored advertising campaigns resulting in a 20% increase in click-through rates and a 15% boost in conversion rates.
• ● Monitored sales performance, inventory levels, and customer feedback to identify opportunities for improvement and implement necessary adjustments.
• ● Managed customer inquiries, addressing concerns and providing exceptional customer service, resulting in a 95% positive feedback rating.