assistant director data scientist resume example with 5+ years of experience

(555) 432-1000,
, , 100 Montgomery St. 10th Floor
Professional Summary

“Things get done only if the data we gather can inform and inspire those in a position to make a difference”

With a Master's degree in Machine Learning and over six years of experience using data to solve business problems, I am an experienced and highly motivated lead data scientist, seeking a career opportunity that will allow me to utilize my advanced statistical and coding skills, as well as my communication skills, to lead and grow a team of Data Scientists.

  • Languages : Python, SQL, AWS, Spark, Scala
  • Data-Science Toolkit: pandas, scikit-learn, NLTK, mxnet, numpy, matplot, seaborn, tensorflow, keras and many others
  • Object Oriented Programming and Software development
  • Machine learning
  • Data mining, wrangling and visualization
  • Statistical analysis
  • Database development
  • Training & Mentoring
  • Project Management and Coordination
  • Stakeholder Management and Handling
  • Product Development
  • Leadership
The University of Texas Dallas, TX Expected in 05/2018 Master of Science : Business Analytics, Data Science - GPA :

GPA: 3.7/4.0

  • Received Deans Scholarship
  • Member of Deans Council of Student Welfare
Army Institute of Technology Pune, India, Expected in 07/2014 Bachelor of Engineering : Electrical and Telecommunication Engineering - GPA :

GPA: 3.9/4.0

Google Analytics, Adobe Analytics, Customer Insights (Wharton School), R Programming, Python for Data Science
Work History
Yahoo! - Assistant Director | Data Scientist
Reston, VA, 05/2021 - Current
  • Responsible for leading personalization initiatives team at Moody’s for CreditView, communicating and presenting project ideas to senior managers to get their approval and funding into the project.
  • Led a team of engineers and scientists to build and deploy recommendation engine using AWS to increase engagement, resulting in a 19% increase in customer click-through rates.
  • Analyzed and leveraged customer click data from Recommendation Engine to cross-sell and up-sell products in 2021 to grow revenue from subscriptions by 4%.
  • Engineered Customer Satisfaction Score metric using machine learning, and segmented users based on this metric for account monitoring, user risk profiling, and understanding product value proposition.
  • Led and managed a team of 3 to develop a machine learning-based content velocity score, to understand features of Investor Service research which contributes to its success.
  • Accessed, tracked, and identified employer information of ~ 20% of anonymous Visitors to provide sales leads for conversion to paid clients.
Moodys Analytics - Senior Product Manager | Data Scientist
City, STATE, 08/2018 - 05/2021
  • Responsible for leading Data Science team in Customer Intelligence unit at Moodys, serving as a contributor, coordinator, coach and mentor to data analysts and scientists, for synthesizing and presenting insights to executive directors and key stakeholders.
  • Developed BI-LSTM and CNN Deep Neural Nets for assessing Investor Services research documents' sentiments.
  • Implemented machine learning algorithm and filters to detect and block customers who shared account credentials, increasing company revenue through subscription renewal by 7%.
  • Conceived and developed Churn Modelling algorithm for customers, segmenting their risk profiles and providing key information to account managers during contract renewal, resulting in higher renewal rates and revenue.
  • Utilized statistical tests and data analysis techniques to determine which customers are using BOTS and webcrawlers to scrape information and data from in order to protect it against reckless users and infringement attempts.
  • Implemented Machine Learning algorithm to personalize Moody’s on-site search for its customer based on their individual usage.
Colaberry - Data Scientist
City, STATE, 02/2017 - 12/2017
  • Overview Colaberry | Refactored Responsibilities:.
  • Participated in all phases of research including data collection, data cleaning, data mining, developing models, and visualizations.
  • Increased company’s revenue by 12% by utilizing and analyzing customer click data, generating leads for the sales team.
  • Worked on large datasets, transformed information from raw data into meaningful analysis that identifies trends and predicts outcomes using various linear and nonlinear models.
  • Developed a web-scrapper from scratch using python, to collect data from relevant blogs/articles/news on the internet and perform various analysis on the data using NLP techniques to get insights.
  • Leveraged data to provide strategic business decisions to increase sales and effectiveness of marketing efforts of the team.
  • Created dashboards to provide information on current marketing KPIs and actionable marketing insights using tableau.
ZS Associates - Business Operation Associate
City, STATE, 07/2014 - 05/2016
  • Led teams in various client engagements, managed client relationships.
  • Designed, built, and fine-tuned predictive models to determine sales-rep goals, helped the client with the decision making, cutting their losses substantially and making them 7% more profitable.
  • Conducted market research for a client; analyzed the survey data to strategize client’s product launch using data science.
  • Engineered complex incentive compensation model using SQL-based tool for a client’s business unit having 1000+ sales representatives.
  • Secured $12 million-dollar funding of client renewal business for the company for which was awarded Operational Excellence award.
  • Managed to retain my project team with zero attrition and 100% client satisfaction.
English :
Native or Bilingual
Negotiated :
Hindi :
Native or Bilingual
Negotiated :
Additional Information
  • Employment eligibility: Visa Status - H1B, Eligible to work in the U.S

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

Your data is safe with us

Any information uploaded, such as a resume, or input by the user is owned solely by the user, not LiveCareer. For further information, please visit our Terms of Use.

Resume Overview

School Attended

  • The University of Texas
  • Army Institute of Technology

Job Titles Held:

  • Assistant Director | Data Scientist
  • Senior Product Manager | Data Scientist
  • Data Scientist
  • Business Operation Associate


  • Master of Science
  • Bachelor of Engineering

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

*As seen in:As seen in: