Devjit Chakravarti Email & Phone Number
@lyft.com
3 phones found area 310 and 203
LinkedIn matched
Who is Devjit Chakravarti? Overview
A concise factual answer block for searchers comparing this professional profile.
Devjit Chakravarti is listed as Various Personal and Professional Projects at Freelance, a with 24 employees, based in Dunn Loring, Virginia, United States. AeroLeads shows a work email signal at lyft.com, phone signal with area code 310, 203, and a matched LinkedIn profile for Devjit Chakravarti.
Devjit Chakravarti previously worked as Staff ML Engineer at Kobold Metals and Staff Machine Learning Data Scientist at Doordash. Devjit Chakravarti holds Ms, Aerospace Engineering from Stanford University.
Email format at Freelance
This section adds company-level context without repeating Devjit Chakravarti's masked contact details.
AeroLeads found 1 current-domain work email signal for Devjit Chakravarti. Compare company email patterns before reaching out.
About Devjit Chakravarti
As a seasoned Staff Machine Learning Engineer with a rich history spanning over a decade in data science, machine learning, and product management, I've dedicated my career to leveraging advanced analytics and machine learning technologies to drive innovation and efficiency across various industries. Currently, at KoBold Metals, I'm at the forefront of developing ML-enabled tools and products aimed at revolutionizing the exploration of critical battery minerals, contributing to the global effort to combat climate change.My journey through high-impact roles at DoorDash, Lyft, Facebook, and YouTube (Google) has equipped me with a unique blend of skills in machine learning, data science, product analytics, and strategic research. I've led teams in developing and deploying cutting-edge ML models, creating robust data architectures, and driving product analytics that inform growth strategies and operational improvements.At DoorDash, I pioneered a novel deep learning approach to food prep prediction. My tenure at Lyft was marked by leading the development of telematics-based risk signals, improving travel time and traffic estimation through advanced machine learning models. I hold an MS in Aerospace Engineering from Stanford University and a BS from the Massachusetts Institute of Technology, underscoring my strong analytical foundation and problem-solving capabilities.I am passionate about using advanced ML to solve complex problems. My goal is to continue innovating within the realm of machine learning and analytics, pushing the boundaries of what's possible. I'm always open to connecting with like-minded professionals and exploring opportunities where my expertise can contribute to meaningful advancements.
Listed skills include Analytics, Business Intelligence, Data Analysis, Product Management, and 11 others.
Devjit Chakravarti's current company
Company context helps verify the profile and gives searchers a useful next step.
Devjit Chakravarti work experience
A career timeline built from the work history available for this profile.
Staff Ml Engineer
CurrentDeveloping ML-enabled tools and products for critical battery mineral exploration to help stop climate change.* Developed data science platform for publishing and tracking ML and data workflows integrating Hydra, Neptune & Dask / Coiled using Docker containers deployed in cloud environments* Trained, optimized and deployed transformer-based deep learning physics simulation models for mining exploration in PyTorch* Developed python library for stochastic inversions of geophysics data integrating multiple physics models on cloud-based distributed computeTechnologies: PyTorch, Coiled (Dask), AWS, Hydra, SimPEG, Docker, Bokeh, Panel
Staff Machine Learning Data Scientist
* Lead developer on assignments simulation platform leveraging Dagster, Kubernetes, gRPC, PyTorch & Pandas to test new assignments algorithms and optimizations (link)* Developed novel Deep Learning ML approach to food prep prediction reducing RMSE by 20%* Evanglized ML best practices and authored suite of internal ML development tools for profiling data quality, simplifying model training and interfacing with internal data systems
Lead Research Scientist
Led team extracting driving risk signals from mobile sensor data (aka telematics).In the past, I have:* Developed and deployed multiple machine learning models including Keras / Tensorflow Sequential Neural Networks, GBDTs & KNNs for improving travel time and traffic estimation* Built and analyzed experiments for understanding casual relationships between retention & customer engagement * Developed and deployed new dynamic pricing models
Senior Data Scientist, Product Analytics
Supported Instagram & Parse with analytics and product insights* Lead Analyst on Instagram Growth* Helped develop international growth strategy through quantitative and qualitative research* Informed NUX design through cluster visualization of public content following * Performed Lifecycle / Funnel Analysis, Clustering, Experiment Analysis, Forecasting, Competitive Analysis* Provided cross-functional support for Product, Engineering, Marketing, Sales
Product
• Created product roadmap for data management & personalization platform using HBase• Authored sales and marketing materials and communicated product roadmap and features to customers and prospects• Analyzed market and competitors through research and customer and expert interviews• Advocated for user needs and helped uncover quality and usability issues
Product Manager, Data Architecture & Quantitative Analytics
Data Warehousing and Business Intelligence* Created custom internal analytics data warehouse and reporting tools for 3rd largest internet site using Big Data technologies * Guided team of 10 software engineers and supported ~350 internal users* Hosted internal conference on data tools and analytics with 150 attendeesStrategic Research* Supported strategic analytics initiatives collaborating with team of 10 data scientists to support YouTube Executive and Product teams* Guided analysis on competitive intelligence, user segmentation, lifetime value and advertising inventoryData Architecture* Expanded experiment analysis architecture to enable deep web analytics for data-driven product design* Developed new device analytics techniques and authored new data collection practices
Senior Financial Analyst, Revenue Forecasting
* Lead global revenue forecaster for multi-billion dollar Google AdSense Direct Syndication business* Prepared and presented weekly revenue insight and analysis, and quota setting guidance to Sales VP and C-level executives* Developed and implemented time-series forecasting algorithms and data management infrastructure in R & MySQL
Senior Consultant, Aerospace & Energy
* Created wholesale energy market model of myopic investor behaviors for risk-adjusted portfolio acquisition strategy* Authored technical market briefing for anti-trust litigation proceedings through collaboration with subject matter experts* Co-authored statistical analysis and equity valuation forecast of US defense industry with Merrill Lynch published in Defense News & Aviation Week* Developed econometric model of high net worth consumer behavior causing client to change design of new business aircraft to improve market share by 10%* Identified three candidate countries for aircraft sales and manufacturing presence through research of political, economic, regulatory and technological dynamics
Colleagues at Freelance
Other employees you can reach at koboldmetals.com. View company contacts for 24 employees →
Jean B. Mukumwa
Colleague at FreelanceLusaka Province, Zambia
View →
LD
Lucia De'Light Nsontaulwa
Colleague at FreelanceKalulushi, Copperbelt Province, Zambia
View →
SD
Scott Dorion
Colleague at FreelanceCumberland, British Columbia, Canada
View →
AM
Aubrey Musonda
Colleague at FreelanceZambia
View →
EE
Espree Essig
Colleague at FreelanceUnited States
View →
MH
Melissa Haas
Colleague at FreelanceOklahoma City, Oklahoma, United States
View →
MK
Monica Kalichini
Colleague at FreelancePanama
View →
NK
Nick Knezek
Colleague at FreelanceOakland, California, United States
View →
MW
Murray W Hitzman
Colleague at FreelanceIreland
View →
RF
Rory French
Colleague at FreelanceSan Diego, California, United States
View →
Devjit Chakravarti education
Ms, Aerospace Engineering
Bs, Aerospace Engineering
Education record
Frequently asked questions about Devjit Chakravarti
Quick answers generated from the profile data available on this page.
What company does Devjit Chakravarti work for?
Devjit Chakravarti works for Freelance.
What is Devjit Chakravarti's role at Freelance?
Devjit Chakravarti is listed as Various Personal and Professional Projects at Freelance.
What is Devjit Chakravarti's email address?
AeroLeads has found 1 work email signal at @lyft.com for Devjit Chakravarti at Freelance.
What is Devjit Chakravarti's phone number?
AeroLeads has found 3 phone signal(s) with area code 310, 203 for Devjit Chakravarti at Freelance.
Where is Devjit Chakravarti based?
Devjit Chakravarti is based in Dunn Loring, Virginia, United States while working with Freelance.
What companies has Devjit Chakravarti worked for?
Devjit Chakravarti has worked for Freelance, Kobold Metals, Doordash, Lyft, and Facebook.
Who are Devjit Chakravarti's colleagues at Freelance?
Devjit Chakravarti's colleagues at Freelance include Jean B. Mukumwa, Lucia De'Light Nsontaulwa, Scott Dorion, Aubrey Musonda, and Espree Essig.
How can I contact Devjit Chakravarti?
You can use AeroLeads to view verified contact signals for Devjit Chakravarti at Freelance, including work email, phone, and LinkedIn data when available.
What schools did Devjit Chakravarti attend?
Devjit Chakravarti holds Ms, Aerospace Engineering from Stanford University.
What skills is Devjit Chakravarti known for?
Devjit Chakravarti is listed with skills including Analytics, Business Intelligence, Data Analysis, Product Management, Analysis, Big Data, Segmentation, and Data Warehousing.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial