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Experienced analytics professional with a demonstrated history of uncovering insights from data. Skilled in building pipelines, dashboards and models.
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Data ScientistWealthfrontLos Angeles, Ca, Us -
Senior Data Scientist - Fraud AnalyticsDoordash Apr 2022 - PresentSan Francisco, California, Us -
Data Scientist - Fraud AnalyticsDoordash May 2021 - Mar 2022San Francisco, California, Us -
Data Scientist - Marketing AnalyticsDoordash Mar 2020 - Apr 2021San Francisco, California, Us -
Business Intelligence AnalystDoordash Nov 2019 - Feb 2020San Francisco, California, Us -
Marketing AnalystCaviar, Inc. Apr 2018 - Nov 2019San Francisco, Ca, Us -
Growth EngineerEaze Nov 2017 - Mar 2018
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Data ScientistDatatron Technologies Inc Feb 2017 - Oct 2017San Francisco, California, UsAccount Churn PredictionCall Volume ForecastingLead Conversion Modeling -
Data Scientist In ResidenceGalvanize Inc Oct 2016 - Dec 2016Boulder, Colorado, UsAssisted in teaching the Applied Natural Language Processing course at gU. This is an 8 week course that equips graduate students with the skills to solve real world NLP problems. -Taught core NLP concepts to students-Served as mentor for capstone projects-Helped students on the floor during lab-Reviewed current student code and graded capstone projectsCurriculum Overview:Week 1 - NLP Fundamentals, Regular Expressions, Segmentation/Tokenization/StemmingWeek 2 - Language Modeling, Text Encoding, Edit DistanceWeek 3 - Spell correction, Word Tagging, Named Entity RecognitionWeek 4 - Chatbots, Information RetrievalWeek 5 - Text Classification, Bernoulli Naïve Bayes, Multinomial Naïve BayesWeek 6 - Topic Modeling, Non-negative matrix factorization, Latent Dirichlet allocationWeek 7 - Word2Vec, Doc2Vec, Week 8 - Final ProjectPython Libraries: Gensim, nltk, textblob, sense2vec, ftfy, -
Data Science FellowGalvanize Inc Aug 2016 - Oct 2016Boulder, Colorado, UsA 3 month immersive data science program culminating in a 2 week capstone project.Curriculum Overview:Week 1 – Exploratory Data Analysis & Software Engineering: (OOP, SQL, Pandas, data viz)Week 2 - Statistics & Probability: (Bayes, Hyp. Testing, A/B Testing, etc.)Week 3 - Regression: (Regularization, Classification, Gradient Descent, etc.)Week 4 - Supervised Machine Learning: (Decision Trees, SVM, Random Forests, KNN, etc.)Week 5 - Special Topics: (Clustering, Topic Modeling (NMF, LDA), NLP, Web Scraping)Week 6 - Unsupervised Learning: (Network Analysis, Matrix Factorization, and Time Series)Week 7 - Data Engineering: (AWS, S3, EC2, EBS, Hadoop, Hive, Spark, MapReduce, etc,)Week 8 - Case Studies: (Fraud Detection, Recommendation Systems, User Retention, etc.)Weeks 9-12 - Capstone Project (TweetSafe)Python Libraries:Gensim, Scikit-learn, PySpark, FlaskBig Data Tools:Spark, Amazon Web Services, PostgreSQL, mongoDB -
Systems Engineer INasa Jet Propulsion Laboratory Jun 2013 - Jul 2016Pasadena, Ca, UsWorked with MIRO team scientists to determine the cause of the instrument calibration error. Independently collected and analyzed 10 years of data from a SQL database. Implemented a new model that reduced the calibration error to less than 1%. -Created a pipeline that analyzed 10 years of data using a custom peak detection algorithm-Presented weekly reports to MIRO team scientists-Wrote a script to automate cleaning and analysis of training data -
Microfluidics Test EngineerMit Lincoln Laboratory Jun 2011 - Aug 2011Lexington, Ma, UsSpent a summer fabricating and testing microfluidic devices as a cheap alternative for DNA sequencing. These devices used pyrosequencing to sequence a DNA sample contained inside the microfluidic device. -Designed new experimental setup for parallel testing of devices-Determined optimal conditions for binding silicon chips to PDMS-Doubled production of microfluidic chips
Maneesh Gupta Education Details
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Cornell UniversityMechanical Engineering -
Cornell UniversityApplied Engineering Physics -
Galvanize - San Francisco, Soma
Frequently Asked Questions about Maneesh Gupta
What company does Maneesh Gupta work for?
Maneesh Gupta works for Wealthfront
What is Maneesh Gupta's role at the current company?
Maneesh Gupta's current role is Data Scientist.
What is Maneesh Gupta's email address?
Maneesh Gupta's email address is ma****@****ash.com
What is Maneesh Gupta's direct phone number?
Maneesh Gupta's direct phone number is +148420*****
What schools did Maneesh Gupta attend?
Maneesh Gupta attended Cornell University, Cornell University, Galvanize - San Francisco, Soma.
Who are Maneesh Gupta's colleagues?
Maneesh Gupta's colleagues are Austin Beebe, Erick Rueda, Chris Stevenson, Tyler Brass, Alex Cherucheril, Tim Coen, Hannah Goddard.
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