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Data Scientist Resume

New York, NY

SUMMARY:

Professional with 8 years of experience in data analytics and business consulting, with focus on data handling/ cleaning, transformation, data analysis, machine learning, NLP, model optimization and performing statistical inference

TECHNICAL SKILLS:

  • Python (Numpy, Scipy, Pandas, Matplotlib, Scikit - learn) R/RStudio (dplyr, GGPlot, Shiny, Plotly, knitr)
  • Data Manipulation with SQL Tableau Desktop
  • Working knowledge of Hadoop, Hive Git/GitHub
  • Amazon Web Services Natural Language Processing
  • Regression, Decision Trees, Random Forest, SVM, Naïve Bayes, KNN, K-mean Clustering

PROFESSIONAL EXPERIENCE:

Confidential, New York, NY

Data Scientist

Responsibilities:

  • Implemented and automated the audio transcription process for internal clients using Amazon Transcribe through Python
  • Conducted sentiment analysis on customer interviews regarding product usage, cost, competitive landscape through topic modeling and TextBlob
  • Identified the influencers of customer adherence to Confidential ’s brands through machine learning
  • Identifying and analyzing entities of interest from structured queries across all business groups to understand the area of research/ focus through NLP
  • Created a job recommendation system which matches profiles with internal job postings through machine learning
  • NLP-based answer generation directly from SQL database for user queries to reduce TAT for high-level business questions pertaining to commercial data
  • Establishing a marketing content authorization process for a Confidential brand using machine learning and NLP
  • Conceptualized and visualized Sunshine Data from CMS on open payments made to healthcare providers by pharma companies. The project aimed to provide an interactive platform for insights into spending by various therapy areas at geography and company levels
  • Identified key factors driving open payments to certain physicians vs. others by various companies

Confidential, New York, NY

Data Science Fellow

Responsibilities:

  • Partnered with Confidential for Safe Communities to create a classification model to identify intimate partner violence from police call reports and domestic incident reports
  • Advanced predictive modeling based on machine learning algorithms (regression, random forest, decision trees, PCA and ensemble) to predict house prices in Ames, Iowa
  • Scraped and structured data from Confidential to generate insights into Confidential Company’s brand presence on the retail giant’s website in terms of customer engagement, ratings, price point

Confidential

Project Lead, Data Analytics

Responsibilities:

  • Sales Planning & Analytics, Brand Planning & Performance, Behavioral Segmentation, Field Force Analytics, Promotions Analytics, Incentive Compensation Solutions
  • Helped a client save USD 1.15 million annually in Incentive Compensation Solutions across 8 different geographies and various products by harmonizing business rules and delivered an integrated SQL-based system
  • Helped a client cut down USD 650k annually in promotional expenses for a product through pre-post test control analysis
  • Enabled a client to create brand strategies for Oncology brands through data transformation and modeling using SAS and Decision Trees. Used multiple data sources such as Sales, Rep Calls, Samples, Payer/ Provider distribution, Physician Access, Demography etc.
  • Developed a classification model to identify the drivers that influence physicians to prescribe a newly launched product
  • Helped a client operationalize and visualize field force alignment for retail brands
  • Managed day-to-day client communication and advised clients on various business problems/ improvement areas
  • Managed projects, timelines and communication with onsite and off-shore teams

Confidential

Lead Associate

Responsibilities:

  • Conceptualized and executed advanced excel-based solutions for effective monitoring of the performance of key brands for top management, using internal and external data sources as well as tracking parallel trade across countries
  • Carried out a project to benchmark launch excellence of a brand in Europe using SQL
  • Competitive intelligence and generic erosion projects for a Respiratory brand
  • Sales forecasting for a client through regression techniques to help better strategize brand promotion
  • Led the development team and the operations team for dashboard creations and regular operations

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