Maneesh Gupta

Maneesh Gupta Email and Phone Number

Data Scientist @ Wealthfront
Los Angeles, CA, US
Maneesh Gupta's Location
San Francisco Bay Area, United States, United States
Maneesh Gupta's Contact Details

Maneesh Gupta work email

Maneesh Gupta personal email

n/a
About Maneesh Gupta

Experienced analytics professional with a demonstrated history of uncovering insights from data. Skilled in building pipelines, dashboards and models.

Maneesh Gupta's Current Company Details
Wealthfront

Wealthfront

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Data Scientist
Los Angeles, CA, US
Website:
doordash.com
Employees:
201
Maneesh Gupta Work Experience Details
  • Wealthfront
    Data Scientist
    Wealthfront
    Los Angeles, Ca, Us
  • Doordash
    Senior Data Scientist - Fraud Analytics
    Doordash Apr 2022 - Present
    San Francisco, California, Us
  • Doordash
    Data Scientist - Fraud Analytics
    Doordash May 2021 - Mar 2022
    San Francisco, California, Us
  • Doordash
    Data Scientist - Marketing Analytics
    Doordash Mar 2020 - Apr 2021
    San Francisco, California, Us
  • Doordash
    Business Intelligence Analyst
    Doordash Nov 2019 - Feb 2020
    San Francisco, California, Us
  • Caviar, Inc.
    Marketing Analyst
    Caviar, Inc. Apr 2018 - Nov 2019
    San Francisco, Ca, Us
  • Eaze
    Growth Engineer
    Eaze Nov 2017 - Mar 2018
  • Datatron Technologies Inc
    Data Scientist
    Datatron Technologies Inc Feb 2017 - Oct 2017
    San Francisco, California, Us
    Account Churn PredictionCall Volume ForecastingLead Conversion Modeling
  • Galvanize Inc
    Data Scientist In Residence
    Galvanize Inc Oct 2016 - Dec 2016
    Boulder, Colorado, Us
    Assisted 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,
  • Galvanize Inc
    Data Science Fellow
    Galvanize Inc Aug 2016 - Oct 2016
    Boulder, Colorado, Us
    A 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
  • Nasa Jet Propulsion Laboratory
    Systems Engineer I
    Nasa Jet Propulsion Laboratory Jun 2013 - Jul 2016
    Pasadena, Ca, Us
    Worked 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
  • Mit Lincoln Laboratory
    Microfluidics Test Engineer
    Mit Lincoln Laboratory Jun 2011 - Aug 2011
    Lexington, Ma, Us
    Spent 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

  • Cornell University
    Cornell University
    Mechanical Engineering
  • Cornell University
    Cornell University
    Applied Engineering Physics
  • Galvanize - San Francisco, Soma
    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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