Melnita Dabre

Senior Software Engineer

Seattle, Washington, United States8 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Machine Learning and Data Science.
Developed ML infrastructure at Epsilon using AWS.
Automated SQL ETL tools at ZS for efficiency.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and data-driven solutions.

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Skills

Core Skills

Machine LearningData ScienceAwsData AnalysisPython

Other Skills

Python (Programming Language)Artificial Intelligence (AI)ETLSQLForecasting ModelsC++AnalyticsDeep LearningMicrosoft ExcelMicrosoft PowerPointMicrosoft OfficePyTorchslurmAutomation AnywherePySpark

Experience

8 yrs 10 mos

Total Experience

1 yr 9 mos

Average Tenure

4 yrs

Current Experience

Amazon

Graduate Student Researcher

Jan 2022 – May 2022 · 4 mos

Epsilon

Software Engineer Intern (ML Infrastructure)

Jun 2021 – Dec 2021 · 6 mos · Wakefield, Massachusetts, United States

Machine Learning infrastructure setup and backend application development with AWS tech stack.
API-driven ML modelling jobs, scoring/training/ETL.
Offline ML model building with python, spark, sagemaker.
Researched topic modelling and implemented Latent Dirichlet allocation (prototype).

Machine LearningPython (Programming Language)AWSETL

University of massachusetts amherst

2 roles

Graduate Teaching Assistant (Adv NLP)

Jan 2021 – Dec 2021 · 11 mos · Amherst, Massachusetts, United States

Graduate Student Researcher - IESL

Jan 2021 – Aug 2021 · 7 mos · Amherst, Massachusetts, United States

Anmol computech pvt ltd

Software Developer

Sep 2019 – Jul 2020 · 10 mos · Mumbai, Maharashtra, India

Zs

Business Associate

Jul 2017 – Aug 2019 · 2 yrs 1 mo · Pune Division, Maharashtra, India

Developed high-level Python API to automate a proprietary SQL based ETL Tool.
Structured sales force bonus payout plans for over 30 markets spanning across APAC and EEMEA.
Performed information-driven diagnostic examination to help clients assess incentive compensation and promote sales force effectiveness.
On-boarded key client markets in the project with annual revenue potential of over $ 100,000
Implemented forecasting models such as Autoregressive Integrated Moving Average, ADDWINTERS, etc. to predict sales data.

Python (Programming Language)SQLForecasting ModelsData AnalysisPython