Hey! I'm Zacks A versatile "Swiss Army Knife" in the data world. I am a seasoned Full-Stack Data Scientist with over 5 years of comprehensive experience in data science, data engineering, and machine learning, proven to significantly enhance your business intelligence and decision-making efficiency.


Skill Set

Data Analytics & Data Science

  • Data Science: Statistics, Probability, Hypothesis Testing, A/B Testings, Data-driven Decision Making, Metrics Design, Root Cause Analysis, Predictive Analytics, Time Series Analytics
  • Business Intelligence: Tableau, Power BI, Google Sheets, MS Excel
  • Programming: Python, SQL, R
  • Tools & Libraries: Jupyter, Databricks, PySpark, SQLAlchemy, pandas, NumPy, SciPy, Plotly, Seaborn, Matplotlib, NLTK, Anaconda
data analytics & business intelligence illustration
machine learning illustration

Artificial Intelligence & Machine Learning

  • Machine Learning: Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Dimensionality Reduction
  • Deep Learning: Natural Language Processing (NLP), Generative Adversarial Network (GAN), Neural Network
  • Programming: Python, SQL, Model Containerization, API Development, Flask, Flask-RESTful
  • Tools & Libraries: Scikit-learn, XGBoost, LightGBM, CatBoost, Keras, NLTK, TensorFlow, Feature Engineering, MLflow, MLOps

Computer Science & Developing

  • Programming: Python, Data Structures & Algorithms, R, Bash, HTML, JavaScript, CSS, Markdown, Shell Scripting, Flask, API Developmen
  • Cloud Computing: AWS, GCP, Azure
  • DevOps: Linux, Git, Docker, RegEx, LaTex, Agile Development, CI/CD
programming & databases illustration
cloud architecting & big data illustration

Data Engineering & Big Data

  • Big Data: Databricks, Apache Spark, Hive, Presto, AQS Redshift, Google Bigquery,
  • Data Mining: Web Crawler, pandas, PySpark, SQLAlchemy, Beautiful Soup
  • SQL: MySQL, MS SQL, PostgreSQL, AWS Aurora, AWS RDS, SQL Optimization
  • NoSQL & Data Lake: AWS DynamoDB, S3

Skill Levels

Education & Work Experience

01/2019 - 07/2020. Boston, MA, USA
  • Probability & Statistics, Enterprise Analytics, Risk Management, Leadership in Analytics, Business Intelligence
  • Data Mining, Data Visualization, Data Warehouse & SQL, Machine Learning, Cloud Analytics

10/2022 - 05/2024. Remote, USA
  • Summary: Extensive experience in big data, machine learning, data engineering, SQL optimization, and dashboarding for Meta’s BBE department.
  • Employment in Meta's Backbone Engineering department focused on leveraging data science and data engineering techniques for supply and demand planning within Meta's Network and AI infrastructure. Responsibilities encompassed prediction, implementation, and management of these processes, alongside tasks involving data engineering, data science, dashboarding, data monitoring, and software engineering.
  • Collaborated closely with cross-functional teams to comprehensively grasp stakeholders' data requirements, facilitating the development and implementation of data solutions tailored for key metric monitoring purposes through daily communication and weekly presentation.
  • Spearheaded the creation of full-stack data solutions that streamlined the tracking of computing resources at Meta, integrating advanced data collection, processing, and visualization, leading to a 30% improvement in resource allocation efficiency.
  • Orchestrated the design and implementation of high-performance data pipelines, achieving a 90% reduction in processing times and a 50% decrease in maintenance costs through well-structured technical documentation, thereby accelerating data availability for strategic use.
  • Executed rigorous data governance policies, ensuring compliance with data privacy regulations.
  • Recognized with 8 "Thanks" awards for outstanding contributions to the team and project successes in 2023.

07/2022 - Present. Remote, USA
  • Summary: 50% Data Science, 50% Data Engineering. Develop and deploy AI/ML solutions and end-to-end data solutions for Meta.
  • Developed and deployed AI/ML solutions and end-to-end data solutions for clients.
  • Improved data service speed by 40% and accuracy by 25% through AI/ML models.
  • Delivered technical posts and blogs, and presentations on data science best practices.
  • Engineered a data ETL infrastructure, improving data integration and accessibility by 70%.
  • Rated 4.5 out of 5 in the latest performance review, reflecting high competence and exceeding key performance indicators.

10/2020 - 01/2021. Remote, USA
  • Summary: Tremendous experience in data science, data processing, data pipelines, big data, business intelligence, and software engineering.
  • Improved data transfer and query efficiency by 1000% and reduced 50% cost by cloud architecture optimization and Big Data implementation.
  • Partnered with the R&D team to implement KPIs, improving product quality and user experience by 25%.
  • Communicated with stakeholders and senior management through data visualization and statistical modeling.

06/2020 - Present. Remote, USA
  • Data Scientist
  • Data Structures & Algorithms
  • AWS Machine Learning


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