Tools/Technologies: Power BI, Sql Server, SQLite, Mysql, Postgresql, GitHub,Streamlit, Vercel,
Flask, Django, AWS (DynamoDB, Lambda, EC2, S3,Redis,Redshift),Azure Dev Ops, Microsoft & Google Suite
Experience
Data Analytics & Engineering | Hamaspik Of Kings County | Jul 2023 - present
Spearheaded the analysis, cleaning & creation of a comprehensive data infrastructure using SQL Server,
empowering stakeholders to make informed decisions
Engineered a financial report within my initial two weeks improving the finance department's operations,
directly contributing to a 3% uplift in profitability by rectifying revenue leaks and
optimizing invoice
management processes using SQL, Python, & Power BI
Orchestrated & deployed sophisticated data pipelines using Python, integrating disparate data sources to
furnish a cohesive analytical framework.
Designed & delivered multifaceted reports utilizing Power BI, Python, & SQL, catering to
diverse
departmental needs leading to a 32% enhancement in workflow efficiency, providing actionable
insights &
fostering data-driven decision-making
Financial Data Scientist | Gemini Global Ventures | Aug 2021 - Gemini Global Ventures
Analyzed large datasets using machine learning techniques for predictive analysis, classification &
pattern recognition
Utilized statistical analysis, feature engineering, & data mining methods to extract valuable insights &
drive decision-making
Create visually engaging & informative reports, presenting insights to stakeholders & guiding business
strategy
Process data from Postgresql using SQL, streamlining the data acquisition process for
analysis & reporting purposes
Office Manager/Controller | Platinum Renovations 1 LLC | Jun 2019 - Aug 2021
Responsibilities included payroll, AP, AR, cost analytics, contrast profitability with overhead, in an
agile & stressful
environment to ensure all deadlines were met
Trained multiple employees in data entry, payroll & cost reports
Selected for a competitive data science fellowship with students from across the 11 CUNY senior colleges
where Fellows create technical projects using tools such as Python 3, Jupyter Notebooks, Pandas, Numpy,
Scikit-learn,TensorFlow & SQL
Participate in weekly courses & learn industry best practices for exploratory data analysis (EDA),
feature engineering, data collection & processing, statistical modeling, data visualization, machine
learning techniques, data science process, & big data
Projects
MovieFinder,(In Progress)
Developing a web application that recommends movies to users based on multiple features, & then tells
the users where they can watch the movies
Leveraging Pandas & Numpy for efficient data cleaning & preprocessing to prepare for model
training
Utilizing a hybrid machine learning approach with Matrix Factorization via SciPy, SVD++ for
collaborative filtering & XGBoost
for feature-based recommendations
Building the application with React, Node.js,Express.js, & PostgreSQL for storing user data & movie
information.
Stonks LLC
Led a team of 3 to develop a web application that uses company data to classify stocks as
undervalued/overvalued
Utilized Pandas, Matplotlib, Seaborn & Numpy for EDA, data cleaning, & visualization
Applied feature engineering methods to find the best features for the model increasing precision by 26%
Designed ML pipeline using Scikit-learn to build & evaluate different models increasing productivity by
75%
Deployed web application using Streamlit & Pickle allowing users to predict company’s worth
Scraped financial data using BeautifulSoup & yFinance reducing cognitive overload for user by 90%
Education
B.S, Computer Science | Brooklyn College
M.C.S, Data Science | University Of Illinois Urbana-Champaign