Martin Alvarez

Martin Alvarez

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Data Scientist, Machine Learning Engineer
Barranquilla, Atlantico, Colombia

Contact Martin regarding: 
Flexible work
Starting at USD40/hour
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Jobs verified_user 0% verified
  • EPAM Systems
    Data Scientist public Remote experience
    EPAM Systems
    Oct 2024 - Current (2 years 1 month)
    💡 Recommendation Engine & Generative AI — LegalTech Platform:

    • Reduced ETL execution time by 63% by migrating SQL transformations to Spark on AWS Glue, enabling faster deployment of personalized marketing campaigns.
    • Designed and deployed a generative AI pipeline that produced tailored, legally-specific marketing messages, directly supporting retention and upsell objectives.
    • Contributed to a recommendation engine powering an online legal resources marketplace, improving cross-selling opportunities and user discovery.

    🤖 Agentic AI — WhatsApp AI assistant on AWS Nova:

    • Integrated AWS Nova LLMs via Bedrock API, orchestrating context propagation and tool usage, and engineered the “Tool Calling A
  • Upwork
    Freelance Data Scientist & AI Engineer public Remote experience
    Upwork
    Dec 2023 - Nov 2024 (1 year)
    🌐 CU Station — Credit Union Loan Matching Platform:

    • Built the platform’s primary data source by designing an AI-powered pipeline: web scraping with Python, HTML-to-vector embeddings, storage in a vector database, and a RAG system in LangChain to auto-detect loan products and interest rates.
    • Automated ingestion of reports from the U.S. National Credit Union Administration (NCUA) via an ETL pipeline, storing them in a relational database to deliver real-time updates on credit unions’ public information.
    🔗 custation.com

    📊 Power BI Dashboard — Beverage Company:

    • Improved executive decision-making by im
  • Farmu
    Data Scientist public Remote experience
    Farmu
    Mar 2023 - Jul 2024 (1 year 5 months)
    • Reduced the customer churn rate by 8% by developing an end-to-end Machine Learning solution involving SQL-based variable extraction, feature engineering, model training with scikit-learn, and cloud deployment using GCP and AWS.
    • Designed custom retention strategies by using statistical techniques such as factor analysis to identify key factors driving customer behavior, resulting in an 8% decrease in customer churn rate and showcasing the ability to use advanced statistical theory to solve real-world business problems.
    • Developed and implemented a recommendation engine for an e-commerce website specializing in pharmaceutical products, where recommendations were retrieved from MongoDB, increasing Average Order Value (AOV) by 2%
  • Lean Solutions Group
    Power BI Developer
    Lean Solutions Group
    Jul 2022 - Sep 2022 (3 months)
    • Eliminated all manual data-entry effort for a six-person sales team by developing a Python ETL to auto-extract KPIs from their CRM and populate a dynamic Power BI dashboard, driving an estimated 12 % sales increase and enhanced job satisfaction within three months.
    • Helped companies in the logistics industry track employee performance through the design of business relevant KPIs.
    • Day-to-day operations included developing dashboards for US-based customers in the logistics industry to visualize key business areas such as operations, sales, and workforce teams, and showcasing the final product in demo meetings.
  • Lean Solutions Group
    Data Entry Specialist
    Lean Solutions Group
    Jul 2021 - Jul 2022 (1 year 1 month)
    • Improved On-Time Delivery Rate from 89% to 95% by developing a data pipeline in Python that provided high-frequency visibility and alerts of freight status.
    • Develop ETL pipelines to receive and store transactional data from the logistics industry.
    • Submit periodical reports based on operational results for transportation carriers.
  • Acer America Corp
    Data Operations Analyst
    Acer America Corp
    Apr 2020 - Apr 2021 (1 year 1 month)
    • Maintained Customer Satisfaction Score (CSAT) above 80% through effective monitoring of the operation.
    • Executed complex SQL queries for customer data retrieval and database population.
    • Developed PowerBI dashboards to centralize key customer service KPIs, such as Average Response Time, Customer Satisfaction Score (CSAT) and First Contact Resolution (FCR). resulting in an improvement in service efficiency.
    • Analyzed trends in customer queries and warranty claims data, using these insights to inform improvements in technical support strategies. EDA was performed in python
Education verified_user 0% verified
  • Universidad del Norte
    Master's degree, Applied Statistics
    Universidad del Norte
    Jul 2022 - Jul 2024 (2 years 1 month)
  • Universidad del Norte
    Bachelor of Engineering
    Universidad del Norte
    Jan 2017 - Jul 2022 (5 years 7 months)
Projects (professional or personal) verified_user 100% verified
  • C
    Churn Prediction Model verified_user Verified experience