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machine learning engineer student resume example with 16+ years of experience

Jessica Claire
  • Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
  • H: (555) 432-1000
  • C:
  • resumesample@example.com
  • Date of Birth:
  • India:
  • :
  • single:
Professional Summary
Highly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
Skills

Python 2.7 and 3.x

Numpy

Scipy

IPython


Pandas

sklearn

Matplotlib

.Net
Work History
Machine Learning Engineer/Student, 2016 - Current
Apex Systems Merrifield, ,

Project: Titanic Survival Exploration          Jan'16 - Mar'16

  • Learnt Numpy, Pandas, Ipython, administered installations
  • Attained concepts like statistical learning, visualizing the variables in a scatterplot matrix, histogram, familarized with training and test data, overfitting and split point
  • Engineered an algorithm, similar to decision trree model, that predict survival outcomes, with accuracy of 

Project: Boston Housing Prices         Apr'16 - Jun'16

  • Developed Supervised Regressor Model and analyzed data to obtain important features, devised data using tain_test_split, evaluated R2 to calculate coefficient of determination
  • Upgraded skills Python, Numpy, Panda, Scikit-Learn, Matplotlib , Jupiter notebook
  • Demonstrated Bias-Variance tradeoff , performed GridSearchCv to optimize model, cross valiated using K-fold, train a model using DTRegressor

Project: Student Intervention System         Jun'16 - Aug'16

  • Developed Supervised Classifier, preprocessed features using pandas, evaluated 3 models Gradient Boosting Classifier, Support Vector Machines, Stochastic Gradient descent
  • Recommended Gradient BC, with F1 Score 80.85% on test data, model tuning using GridSearchCV
  • Demonstrated Precision vs Recall, utilised Stratified Shuffle  Split, familarized with Google Python Style Guide
  • Familarised with Gaussian Naive Bayes, Decision Trees, Ensemble Methods(Bagging, Adaboost, Random Forest), K-Nearest Neighbors, Logistic Regression.

Project: Creating Customer Segment         Aug'16 - Dec'16

  • Developed Unsupervised Learning, clustering technique, Demonstrated feature scaling, dimensionality reduction and feature transformation using PCA and identified customer segments hidden in the data.
  • Familarised with Box-Cox test for feature scaling and Turkey's method for outlier detection, reported epsilonvariance ratio of each ddimensioon
  • Visualising biplot, developed K-means clustering algorithm and Gausian mixture model and peformance using Silhouette_score.
  • Data recovery using Inverse Transformations and did A/B test

Project: Smart Cab         Jan'17 - Mar'17

  • Applied Reinforcement Learning technique, developed Q-learning driving agent  to optimise
  • familarised with Gompertz decaying function used for epsilon improve Q-learning
  • Demnostrated skills on Policy, Sub-Optimal policy to max positive rewards
  • Achieved Safety rating A+, Reliable Rating A
  • Familarised on Markov Decision process, Game Theiry, epsilon, alpha, Feature Rewards , discount factor, gamma.
Technical Architect, 08/2015 - Current
Salient Crgt Fort Gordon, GA,
  • Architecting, designing and defining patterns from bottom up
  • Implemented messaging using RabbitMQ, expertise on micro services, mongo db
  • Developed features that support million of records
  • Demonstrate Architecture, Design and patterns
  • Understand projects in no time, by just concentrating on architecture, patterns and designs
  • Improved DB pefromance, demonstrate to Director, stake holders and product team

Onsite Lead, 11/2014 - 08/2015
Business Integration Group Inc City, STATE,
  • Lead a team of 7 People, onsite and offshore model
  • SOA architecture, with Oracle backend, with Angularjs as Front End
Project Lead/Technical Architect, 06/2011 - 10/2014
PrimeKI Technology Group City, ,
  • Developed cutting edge solutions for several clients like socialwellth, vertex, health, lead a team of 30 people
  • Implemented several complex business solutions independently with minimal help
  • Expertise on SDLC/Agile methodology, scrum, kanben etc
  • Team Player, utilised Data structures, stacks, queues, hash map etc.,
  • Sorting techniques Bubble sort
  • Tree, Heaps, Graph

 

Tech Team Lead, Engineer, 04/2004 - 06/2011
Bluepal, Delightsoft, Shas Services , ,
Education
Nano Degree: Machine Learning, Expected in Current
-
Udacity - California,
GPA:
Status -
Bachelor of Technology: Computer Science and Information Technology, Expected in 2004
-
JNTU - Hyderabad, India
GPA:
Status -

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Resume Overview

School Attended

  • Udacity
  • JNTU

Job Titles Held:

  • Machine Learning Engineer/Student
  • Technical Architect
  • Onsite Lead
  • Project Lead/Technical Architect
  • Tech Team Lead, Engineer

Degrees

  • Nano Degree
  • Bachelor of Technology

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