Deekshita Saikia

About Me

Graduate student pursuing a Masters in Data Science from Duke University. Seeking data science internships for summer of 2022.

Location

Durham, NC
Education
    Duke University
    August 2021 - May 2023
    degree
    Master's
    major
    Data Science
    coursework
    Principles of Machine Learning
    Natural Language Processing
    Modeling and Representation of Data
    Computer Vision
    Causal Inference
    Hindu College, University of Delhi
    St. Stephen's College, University of Delhi
Work Experience
    EXL Service
    Lead Assistant Manager
    Gurgaon, IN-HR, IN
    January 2020 - July 2021
    company
    EXL Service
    title
    Lead Assistant Manager
    overview
    - Promoted to Lead Assistant Manager, developed a time-series forecasting model using additive regression (fbprophet - Incorporated hyper-parameter tuning to model transaction amounts, transactions volume and net margin for a card - Designed a segmentation model using k-means clustering, an upsell propensity model using logistic regression, and pricing strategies using generalized linear models, for an installment loans portfolio targeting German market, for a
    Senior Business Analyst
    January 2019 - December 2019
    Business Analyst
    July 2017 - December 2018
Fun Fact

I love the comic Calvin and Hobbes. I relate to it as an adult just as much as I related to it as a child. Bill Watterson never gave merchandising rights, so I stitched my own Hobbes from scratch!

Skills
Data AnalyticsData ScienceData VisualizationMachine LearningModelingStatistical Data AnalysisTeam ManagementTeam player, and individual worker
Leadership
    EXL Service
    Senior Business Analyst
    January 2019 - December 2019
Github / Code
Powered By
unsupervisedlearner1123(view my full github here)
11 followers6 stars39 repositories
Pinned Repositories
Technical Skills
  • python
  • r
  • sas
  • sql
Videos
    IDS720_TeamBlue_Mid-Sem Presentation_OpioidProject
    November 2021
    This analysis describes the effect opioids have had on the U.S. population in terms of deaths caused by overdose and analyzes the impact of different states’ policies to control opioid shipments in the hopes to decrease mortality rates.