Data Science Intern Resume NYC - Hire IT People

SUMMARY:

Built a decision support system (DSS) that extracts topics from online customer reviews and segments the market based on these review topics, other quantitative ratings and businessIDs. This DSS serves as a tool for (1) making targeted advertisements and personalized recommendations to customers and (2) competitor mining - shows which other businesses (hotels) the users/customers write similar reviews about. Used MongoDB, Python, Django and data from TripAdvisor.
Used text network analysis to visualize large volumes of user-reviews (text) on Yelp.
Identified network’s structural properties and quantitative metrics: Detected most central terms within user-reviews.
Ascertained what kinds of terms are most important and influential in deriving meaning out of the other terms in the network.
Used this data visualization for preliminary exploratory analysis of topics before running a topic modelling algorithm (LDA).
Predicted creditworthiness of loan applicants using random forest, logistic regression and principal component regression classification algorithms in R programming language.
Wrote scripts in Python to scrape and parse HTML data from Autotrader website to predict car prices.
Designed and modelled relational databases, wrote SQL queries, developed ER data models for business operations of a bank, an online market place and an airline database.

TECHNICAL SKILLS:

SKILLS: R *Python *SAS *SPSS *Weka *Gephi *Matlab *MySQL *MongoDB *HDFS *Hive *Pig *AWS *Machine Learning algorithms *Statistics *NLP *Text Mining *Web Scraping using Python *JavaScript *Tableau *HTML *CSS *Excel

PROFESSIONAL EXPERIENCE:

Confidential, NYC

Data Science Intern

Responsibilities:

Used Computer Vision and Machine Learning algorithms for Object (Logo) Detection and Recognition in Images.
Used the Bag of Visual Words algorithm to predict if a given image contains a client's trademark logo.
Brought in significant savings as this model will be used to automate the company’s Trademark Infringement Analysis and Prediction workflow, replacing a third party vendor the job was outsourced to.

Confidential, Hoboken, NJ

Research Assistant, Business Intelligence and Analytics

Responsibilities:

Mining competitor information from user reviews on Trip Advisor using MongoDB and Python (PyMongo, NLTK)
Wrote Python programs to scrape and parse data on user-profiles from Odesk website to extract users’ technical skills.
Derived association rules between user-skill itemsets.

Confidential

Research Associate

Responsibilities:

Designed statistically reliable questionnaires for large-scale data collection.
Built and analyzed quantitative and qualitative (audio/text) databases on cognitive capacities of young children in India.
Prepared research based technical reports for the funding agency.
Handled parametric and non-parametric (ordered) statistical procedures.
Conducted 150 semi-structured interviews to contribute to a database of 500 interviews.

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