I’m an experienced product manager with previous experience working as an ML Engineer and data scientist.

I’m currently living in Cambridge, MA pursuing my MBA at Harvard Business School, and am actively applying to product manager positions.

I’ve previously worked at the Harvard Rock Center for Entrepreneurship as a Technical Product Manager, and as a Sr. AI Product Engineer at Arcules where I launched and developed computer vision models for security applications for medium and large enterprises. Prior to this, I worked for three years at J.P. Morgan in NYC as a data scientist & credit trading analyst, as well as at Slang AI as a data scientist consultant.

In my free time, I enjoy reading up on the latest AI product trends, getting my hands dirty with data problems, and spending time with in nature and with my dogs.

Computer Vision Projects

Frameworks used: Python, Tensorflow, Keras, Git Read more
Frameworks used: Python, PyTorch, YOLO, Faster R-CNN, Folium, Git Read more
Frameworks used: C++, Python, OpenCV, Tensorflow, Git Read more
Frameworks used: Python, OpenCV, Pytesseract, sklearn, API's, Git Read more

Supervised ML Projects

Frameworks used: Python, Flask, Dash, pandas, numpy, sklearn, matplotlib, seaborn, API's, AWS, Git Read more
Frameworks used: Python, pandas, numpy, sklearn, matplotlib, seaborn, Git Read more
Frameworks used: Python, Natural Language Processing, statsmodels, R, pandas, numpy, sklearn, Selenium, scrapy, matplotlib, seaborn, Shiny, Git Read more
Frameworks used: R, caret, dplyr, ggplot2, Shiny, Git Read more

Unsupervised ML Projects

Frameworks used: Python, NLTK, Gensim, TextBlob, sklearn, bokeh, Git Read more
Frameworks used: Python, sklearn, plotly, matplotlib, Git Read more

Papers Published

January 2022

A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management

Proposed a supervised object detection approach leveraging You Only Look Once (“YOLO”) and the Faster R-CNN frameworks to detect and classify road distresses in real-time via a vehicle dashboard-mounted smartphone camera, producing 0.68 F1-score experimental results ranking in the top 5 of 121 teams that entered the IEEE Global Road Detection Challenge as of December 2021.

Skills

Product: User Research | Customer Interviews | MVP Scoping | Data Analysis | UX/UI Design | GTM Strategy


Python: pandas | numpy | scikit-learn | scipy | nltk | statsmodels | scrapy | Selenium | Dash | Flask | matplotlib | seaborn


Computer Vision: Pytorch | Tensorflow | Keras | You Only Look Once (YOLO) | Faster R-CNN


Supervised ML: Linear & Logistic Regression | Random Forests | Gradient Boosting | XGBoost | Support Vector Machines | Neural Nets


Unsupervised ML: K-Means | K-Medians | HDBSCAN | Principal Component Analysis


SQL: MySQL | Teradata SQL | HiveQL


Dashboarding: Tableau | Alteryx | Adobe Analytics


Other Frameworks: Apache Spark | Git | Docker | AWS | Jira | Agile

Experience

Aug 2024 – Present

Harvard Rock Center for Entrepreneurship

Technical Product Manager

Launched an AI mentorship chatbot helping early‑stage founders in emerging markets develop their venture ideas and find funding sources,
serving thousands of live chats with entrepreneurs across India and LATAM.

March 2022 – Aug 2023

Arcules

AI Product Engineer

Launched two new AI‑powered vehicle detection features from ideation to launch, scaling deployment to eight thousand customer cameras in a four-month period.

March 2021 – March 2022

J.P. Morgan Chase

Data Scientist

Led machine learning classification project to predict customer deposit outflow transactions to competitors. Core responsibilities encompassing model training, data engineering and deployment tasks

March 2020 – December 2020

NYC Data Science Academy

Data Scientist Fellow

Graduated from immersive data science program focused on machine learning, big data and Python with hands-on project work.

September 2019 – March 2021

J.P. Morgan Chase

Credit Trading Analyst

Structured and traded illiquid credit products as part of the Distressed Credit Trading desk with responsibilities including developing and presenting financial valuation models in Excel and Python