Diksha Jeena
Https://www.linkedin.com/in/dikshajeena/
Summary
Seasoned Data Scientist experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling. Bringing 7+ years of related experience strengthening company operations.
Overview
13
13
years of professional experience
Work History
Senior Data Scientist
Cirkul
Watertown, MA
08.2023 - Current
- Created an end-to-end machine learning pipeline for customer service topic modeling, leading to a better understanding of customer feedback and improved service quality.
- Developed a customer-segmentation platform that provided valuable insights into customer purchase behaviors and flavor profiles, enabling more targeted and effective marketing strategies
- Developed demand forecasting model using a hybrid-clustering approach, which significantly improved inventory management and reduced supply chain co
Senior Data Scientist
MX Technology
Seattle, WA
06.2022 - 02.2023
- Developed a recurrent detection system to identify recurring patterns in financial transaction data using Python.
- Developed a categorization model to categorize financial transaction data using the FastText model.
- Built complex SQL queries for master data management for transaction tables.
- Led team of 4 (1 data scientist,2 data analysts, and 1 data engineer) to build recurrent detectors and categorization.
- Collaborated with cross-functional teams and different stakeholders to build a audit strategy for different products under data science.
Senior Data Scientist
MasterCard
Salt Lake City, UT
08.2021 - 06.2022
- Developed an intelligent payment solution product for MasterCard, worth millions of dollars, which uses machine learning to assess a consumer's ability to pay based on transaction data.
- Created labels and meaningful features from unstructured data to construct the dataset for the product using python.
- Built complex SQL queries to merge, transform, and manipulate large datasets, resulting in improved data quality and faster analysis time.
- Managed 2 teams (1 data scientists, 2 engineers) to build and implement product.
- Worked with data engineers to deploy the model into production and wrote unit tests for code coverage of 80% and above.
Data Scientist
Merrick Bank
South Jordan, UT
08.2017 - 08.2021
- Built a ‘risk’ model for the underwriting acquisition and pricing of new accounts on millions of customers based on credit bureau data using ensemble methods and built a pipeline to score the model's predictions.
- Built a machine learning model to predict the approval of loan applications and provide the adverse reason codes using black-box interpretation techniques like Lime, Shapley Values.
- Built an existing risk model using deep neural nets by replacing FICO 08 with a stronger pooled risk score to complement our current risk model to strengthen credit card acquisition risk metrics.
- Built a RNN (LSTM) to decide whether to direct mail next campaign to our customers based on their delinquency rate predictions.
- Created data visualization dashboards using Tableau/R/Python to translate complex data sets into comprehensive visual representations to increase transparency, monitoring SLA times and sales & marketing performance.
- Used git for quality assurance of the codes and models were deployed using python/R, docker and AWS.
Business System Analyst Intern
Varex Imaging Corporation
Salt Lake City, UT
04.2017 - 08.2017
- Created jobs in SAP Hana to move data from various source systems to Amazon Web Services (AWS) Redshift.
- Provided support for Business Intelligence deliverables across multiple business units of the corporation.
Senior Software Engineer
Accenture
Bangalore, KA
08.2011 - 06.2016
- Collaborated with the onshore and offshore team to evaluate, define, standardize, and document key performance indicators, and translated them into technical specifications.
- Performed data migration for Supply Chain Management team for SAP master data and transactional data for several healthcare industries such as J&J, Cardinal Health.
- Supported GO-LIVE release of nine Asia-Pacific countries, and handled ad hoc Change Requests after GO-LIVE.
Education
Masters - Information Systems
The University of Utah
08.2017
Bachelors - Information Technology
Uttarakhand Technical University
06.2011
Skills
- Core Skills: Python, Numpy, Pandas, Deep Learning, Sklearn,Tensorflow, Pytorch, Machine Learning, Data mining, Statistical Analysis, NLP, R
- Cloud-computing: AWS, Spark, Docker
- Tools: Git, Sagemaker, MLflow, Jupyterlab, VS code
- Databases : Postgres, Snowflake, SQL, Oracle
Accomplishments
- Certifications: Oracle Certified Associate 9i , Scrum Master
Timeline
Senior Data Scientist
Cirkul
08.2023 - Current
Senior Data Scientist
MX Technology
06.2022 - 02.2023
Senior Data Scientist
MasterCard
08.2021 - 06.2022
Data Scientist
Merrick Bank
08.2017 - 08.2021
Business System Analyst Intern
Varex Imaging Corporation
04.2017 - 08.2017
Senior Software Engineer
Accenture
08.2011 - 06.2016
Masters - Information Systems
The University of Utah
Bachelors - Information Technology
Uttarakhand Technical University
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