Key accomplishments

Based on my past experience as a data scientist in a product-based company, I possess a deep understanding of the continuous challenges that arise when improving a product. This experience has equipped me with the skills necessary to comprehend business problems and solve them using machine learning techniques.

In addition, I have worked with various machine learning frameworks, including Scikit-learn, MLflow, PyTorch, and Optuna, as well as libraries like pandas, numpy, nltk, and spacy. Moreover, my familiarity with project management tools like Jenkins, version control systems such as Git, and databases like MySQL and PostgreSQL make me a valuable asset.

Furthermore, I have extensive knowledge of machine learning deployment, cloud platforms, LLM, and NLP, which I have acquired through my professional and academic experience. As a result, I believe that my strong background in data science and machine learning, both professionally and academically, makes me an excellent fit.

Role 1
Machine learning engineer
Role 2
Data scientist
Test Score
AI, Machine learning, Data Science
90%
Financial technology > credit and lending
part-time-16-hours-per-weekfull-time 40-hours-per-weekcontract
Any
Graduate
United States
Any
NA
Onsite
Willing to work for stock and paid projects

Tags

AITechFintechInsurtech

Education

Experience

Portfolio

Expertise

Python
95
Machine Learning
95
SQL
100
Deep Learning
95
LLM
95

Languages

English

Honors & awards

  • 2019

    Best Employee

    I got this award for my best performance between 2018 - 2019.

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