MARTINA RADOSLAVOV

Employment

Neuraflash Boston

Associate Data Analyst May 2022 to July 2023

• Identified 3 significant bugs in client chatbots, by SQL querying data to find inaccuracies, and by auditing the chatbot’s structure

• Communicated with stakeholders to understand their business needs, and translated this into measurable goals

• Aligned the priorities of my team by determining and measuring quantifiable metrics that reflect the stakeholders’ goals

• Predicted ROI of recommended enhancements of chatbots, phone IVR, or support pages to determine future projects

• Created dashboards and reports in Salesforce for 7+ clients, for tracking agent and team performance

• Led regular meetings with clients to highlight Salesforce platform performance and plan future projects

• Advised clients on new or improved chatbot flows to decrease escalation to agents based on NLP analysis of transcripts

Brigham and Women’s – The Channing Division Boston Data Engineer June 2021 to Dec. 2021

• Wrote a data integration workflow python package and integrated this with a Lab Information Management System (LIMS)

• Built an end-to-end process for cleaning sample data, extracting PLINK analysis, using QC Jupyter Notebooks and Snakemake

Workflows

• Presented QC findings in weekly meetings with bioinformaticians about analysis interpretations 1upHealth Boston

Data Engineer June 2020 to May 2021

• Implement ETL processes to map health records to JSON FHIR records to use in customer APIs

• Answered client questions on patient data using SQL and Elasticsearch queries

• Revise Python programs to keep database interactions up to date

• Automated a client data mapping workflow in Apache Nifi

• Updated onboarding documents for a more efficient onboarding process for the next intern group

Education

Northeastern University July 2018 to May 2022

BS Data Science and Biochemistry 2022

Data Science Projects

Machine Learning Exploration Python 2022

• Formulated hypothesis based on data of 79 house features and the price of the house

• Determined a few key features to build the models using regression algorithms

• Performed data wrangling and cleaning in Jupyter Notebook

• Tested multiple ML algorithms (linear regression, lasso, ridge, and k-nearest neighbors) and used model optimization techniques to find the most accurate model to predict the price of a house

• Created visualizations through the data exploration and for the results Graph Database Exploration Neo4J 2021

• Explored the relationship between different drugs in the UCI Drug Review Dataset and the Drug Sensitivity in Cancer Dataset using a graph database

• Modeled trends and provided queries to understand more about patient drug reviews regarding cancer treatments

• Created visualizations with findings within Neo4j Contact

ad1cw0@r.postjobfree.com

203-***-****

https://www.linkedin.com/in/martina-

radoslavov/

New Canaan CT

Technical Skills

PROGRAMMING LANGUAGES

Python

SQL

Java

R

SOFTWARE/TOOL

Linux

AWS

Salesforce

Tableau

Snowflake

Redis

Neo4j

MongoDB

PostgresSQL

MySQL

Jupyter Notebooks

Git

Jira

CONCEPTUAL KNOWLEDGE

linear regression

classification algorithms

logistic regression

time series analysis

data visualization

database design

Certifications

Salesforce Certified Business

Analyst

2022

Salesforce Certified Administrator 2023

Interests

Yoga Trainer Certification

Program

Sept. 2023 to

Present

Contact this candidate