data scientist/machine learning

Navroz Lamba

407-***-**** adjom6@r.postjobfree.com Davenport, Fl

PROJECT WORK

Human Rights First Asylum Full Stack Web Application (Greenfield Project) Designed a web tool to aggregate data on asylum cases, allowing users to explore data, make predictions, and visualize how a judge might rule on a specific case Applied skills: Python Docker AWS RDS PostgreSQL AWS Elastic Beanstalk FastAPI

VSCode Scikit-Learn Selenium Spacy BeautifulSoup4

• Collaborated remotely with a cross-functional team consisting of 3 Data Scientists, 2 Frontend Web Developers, and 1 Backend Web Developer

• Designed a database schema

• Downloaded the list of pdfs from the website using Selenium

• Performed data scraping to extract useful data from online

• Scraped and parsed the data from the pdf and converted that into plain text

• Used Spacy to extract useful information from the text

• Developed a REST API on FAST API

• Containerized the app and deployed it on AWS Elastic Beanstalk

• Managed and hosted a Postgres database on AWS RDS ( Code) Movie Recommender System with Sentiment Analysis Full Stack Web Application (Code, Web App)

Content-based recommender system which recommends movies similar to the movies user likes, and analysis the sentiments on the reviews for that movie Applied skills: Python Scikit-Learn Spacy Flask Heroku pandas TMDB API BeautifulSoup4 HTML CSS JavaScript VSCode

• Scraped the movie data from Wikipedia along with datasets from Kaggle

• Reviews were scraped from IMDB to perform sentiment analysis

• Cosine-similarity was used for the content-based recommender system

• Used third party API to extract movie specifics such as genre, rating, poster, etc. Airbnb Nightly Rate Predictor in LA Web Application (Code, Web App, Blog post) Predicts the nightly rates of Airbnb in Los Angeles depending on the location, property type, number of bedrooms, etc.

Applied skills: Python Matplotlib Scikit-Learn NLTK Plotly Dash pandas Heroku

• Performed Data Wrangling and Exploratory Data Analysis to process 126 features

• Used NLTK library for NLP to extract the information from amenities in the dataset

• Plotly Dash was used as the front-end, and the web app was deployed on Heroku Airbus, the New King of The Skies?! Data Storytelling (Code, Blog post) Built a narrative around a set of data, and accompanying visualizations to help convey the sense of competition between the two biggest rivalries of all time; Boeing and Airbus. Applied skills: Python pandas Matplotlib Seaborn Numpy

• Performed Data Wrangling and Exploratory Data Analysis to remove the noise from data

• Selected the best visualizations to compare information, clarify meaning and put story into proper context

Medical Cannabis Recommender REST API (Code, Web App) Recommends a medical cannabis strain depending on the medical condition of the patient Applied skills: Python FASTAPI pandas scikit-learn Heroku VSCode

• Collaborated remotely with a cross-functional team consisting of 4 Data Scientists, 2 Front-end Web Developers, and 2 Back-end Web Developers

• Worked on Data Wrangling

• Made a REST API and deployed it on Heroku to feed data to our Front-end team Image Classifier (Code)

Built an Image Classification model using Keras VGG-19 transfer learning Applied skills: Python Flask Keras Tensorflow HTML CSS JavaScript Kickstarter Success Classifier (Code, Web App)

Predicts if a kickstarter project will be a success before it is released Applied skills: Python pandas scikit-learn Keras Tensorflow Flask

• Collaborated remotely with a team of 4

• Built models using scikit-learn and Keras for performance comparison Data Science Portfolio Website (Code, Web App)

This project showcases my data science projects on a deployed website. Applied skills: Python Flask PostgreSQL HTML CSS JavaScript Heroku

• Created a custom content management system that takes data from an Excel file, and stores it in PostgreSQL database which is then used to display the content on the website EDUCATION

Data Science and Machine Learning (See credential) Lambda School – Remote

B.Sc Aerospace Engineering

Embry-Riddle Aeronautical University, Daytona Beach, USA SKILLS & SOFTWARES

Languages: Python, Java, JavaScript

Python: Pandas, Scikit-Learn, Numpy, Keras, Tensorflow, Beautiful Soup, Selenium, NLTK, Spacy, FastAPI, Flask SQL: PostgreSQL, MySQL

NoSQL: MongoDB

AWS: Elastic Beanstalk, EC2, S3, RDS, DynamoDB

Data Visualization: Matplotlib, Seaborn, Plotly, SHAP PaaS: Heroku

Front-end: HTML, CSS

Others: Docker, Git

WORK EXPERIENCE

Retrofit and Repair Engineer II Sep’14– Dec’18

Boeing Long Beach, CA

• Maintained a high standard of quality and productivity while creating complex service bulletins under general direction for 7-series and MD legacy aircraft

• Researched, analyzed, and integrated engineering data to develop retrofit/repair product in a high demand work environment

• Volunteered to help transfer 787 engineering department from Puget Sound to Long Beach

• Covered for Lead Engineer during absence

• Retrofit and Repair Engineering Training Committee focal

• Received awards for on-time performance of customer products Process Engineering Intern Aug ’12 – Dec ‘12

GE Aviation Strother field, KS

• Successfully generated and processed training manuals with visual aids for ease of new operators

• Assisted in identifying and rectifying errors in the tooling manual

• Reviewed, analyzed, and provided revolutionized ideas to improve current manufacturing methods and processes

• Designed a fixture to lift the CF34-8 rotor from the front face

• Collaborated with supervisors in resolving multiple manufacturing process issues

ACADEMIC COURSEWORK

Supervised Learning: Random Forest, Naive Bayes, SVM, k-NN, Logistic Regression, Decision Trees, XGBoost

Unsupervised Learning: K-means, Principal Component Analysis (PCA), content-based / collaborative filtering for recommendation systems Natural Language Processing: Word Embedding, stemming, lemmatizing, parsing, & sentiment analysis

Deep Learning: ANN, CNN, LSTM

Statistical Inference: Bayesian Inference, Hypothesis Testing, Confidence Intervals

ABILITIES

Data Analytics, Data Science, Predictive Analytics, Predictive Modelling, Data Visualization, Data Wrangling, Exploratory Data Analysis, Machine Learning, Artificial Intelligence, Data Mining, Pipelines, Statistics, Mathematics, Cloud Computing, Software Development, Website Development, Data Engineering, Data Warehousing, Microsoft Office, Microsoft Excel, Web Scraping, Scripting, Business Intelligence, Entrepreneurship Machine Learning Engineer Data Scientist

www.navrozlamba.com

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