Manya Chadha Email & Phone Number

Seattle, Wa, Us

Seattle, Washington, United States

At Impinj, I work with the Silicon Process Engineering team to optimize their workflows using ML.- Developed a computer vision model for defect classification in RFID inlay images, freeing up to 15 hours of technician time per week.- Deployed the model as an API endpoint accessed via a GUI using FastAPI and TKinter to allow users to upload images for classification, obtain model results & re-classify mislabelled data for a separate retraining pipeline.

Seattle, Washington, United States

At WSG, I'm a part of the Communications team focussing on using data analytics to revamp the website, analyze social media campaigns and organizing the swag closet every now and then.

Remote

At Little Place Labs, I managed a team of 2 associates and was responsible for developing 3 different product lines - Orbitfy Prep, Orbitfy Edge and Orbitfy View. - Managed a team of 2 data scientists, a GIS expert to deliver a general LULC segmentation model that was integrated with Unibap's SpaceCloud framework and was run on-board D-Orbit's satellite in December 2022. Find more details about this mission here - https://www.littleplace.com/post/lpl-first-space-demonstration- Created an interactive prototype of the Orbitfy View MVP after mapping out various user personas to define the minimum features.- Technical project management for over 3 projects as an additional responsibility to help meet deadlines and generate results that feed into product research. - Created product collateral for marketing and technical specification brochures. - Initiated revamp of the company website to update our product offerings and solutions. - Conducted user research interviews to understand customer pain points and potential points of product intervention. Optimised solutions for disaster management (wildfires) accordingly.

At Kawa Space, I worked as a Product Manager (Data) under a Product lead to identify use cases that could be supported by our data APIs. - Engaged with potential customers to understand and quantify their needs, resulting in the 1st recurring contract for the imagery platform product. - Conducted multiple customer interviews for product discovery and identified key user needs.- Drafted product and technical documents to provide the engineering team with technical direction and ensure smooth workflows.- Configured and tested functioning data pipelines to increase platform performance and feature capability. - Created technical product content for the website and product collateral.- Identified multiple satellite data providers to establish working relationships and improve service levels.

As a Data Scientist at Kawa Space, I leveraged my previous experiences as an intern and analyst to create substantial pilot projects within the retail and social sector using satellite imagery and geospatial datasets. - Developed 3+ pilot projects for the social and retail sectors to facilitate use cases around site selection and land use. - Co-authored the KawaPlatformLibrary to automate internal data processing of 3 different satellite payloads that reduced inter-team dependencies and optimized processes.-Collaborated with agronomists to develop a crop performance classifier based on Sentinel-2 imagery to facilitate timely response to poor-performing crops.- Created a socio-economic model using nightlights imagery (VIIRS) and geospatial datasets for site selection and night-time safety use cases. - Built and launched a near-real-time rain prediction model utilizing JAXA satellite imagery to facilitate last-mile delivery use cases.

Mumbai Area, India

Mumbai, Maharashtra, India

As Co-founder and Head of Research and Drafting at the XEC, I was responsible for the collection, analysis, and reporting of data collected by our team for the first environmental audit of our 150-year-old campus. - Interviewed multiple auditors and building managers to gather information about conducting environmental audits, the various tools and frameworks necessary, and other resources.- Discovered multiple proxy measures to analyze energy expenditure, water usage, and more due to limited resources for direct measurement.- Conducted robust data analysis to identify baseline energy expenditure and waste generation within the campus and drafted suggestions for the college administrators and other stakeholders to reduce the environmental impact of the campus by at least 30%.

As an Economics Research intern at Edelweiss, I was tasked with the forecasting of economic inflation in India.- Utilised proxy data, like CPI and WPI, and used historical data to create time-series graphs. - Analysed CPI, WPI, and GDP per capita over time to identify repetitive patterns.- Researched forecasting methodologies for time series data like ARIMA and regression.- Forecasted a 4.2% rate of inflation for the financial year and corroborated results with those of McKinsey and PwC. - Presented my approach and findings to the Head of Economics Research and suggested scope for further research.

Master Of Science - Ms, Data Science

Bachelor Of Science - Bs, Mathematics And Statistics