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Data Python

New York, New York, United States
May 21, 2018

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Benjamin Lusamba • 862-***-**** • •


Helios Strategies New York, NY

Quantitative Analyst – Machine Learning September 2017 – Present

● Implemented k-means clustering algorithims that improved predictive power by 10% ; used 1-3 TB data

● Developed presentations using Pandas and Matplotlib to educate non-technical audiences

● Developed and implemented Python scripts to automatate news acquisition using online APIs

● Natural Language Processing in Business News

Conducted sentiment analysis with scikit-learn, Pandas, and JSON metadata

Developed Python scripts to parse JSON metadata and generate actionable business insights

Automated web scrapping and data storage; reduced data-aquistion time by 45% Bunge Limited White Plains, NY

Quantitative Analyst – Financial Engineering August 2016 – August 2017

● Co-Managed $20MM quantitative trading portifolio by generating and implementing trading ideas

● Developed and maintained a Black-Scholes options pricing algorithim using Python

● Derivative Volatility and Momentum Analysis for Algorithmic Trading Strategy

Conducted data analysis Python and SQL to model relationship between volume and volatility

Perfomed Monte Carlo Simulations in Python for model testing and calibration process Kuramo Capital Management, LLC New York, NY

Summer Analyst – Venture Capital June 2015 – August 2015

● Completed regression analysis of foreign exchange (FX) volatility

● Presented findings to nontechnical audience and incorporated findings into marketing materials INDEPENDENT PROJECTS

Web Scrapping (

• Application for webscraping of market data using Scrapy News Retrieval Daemon (

• Application parsing JSON metadata to reduce browsing time by 70% ; sentiement analysis feature forthcoming Algorithmic Trading (

• Equity trading algorithm utilizing large cap stocks; algorithmic trading using Interactive Brokers API Quantitative Stock Analysis (

• Developed stock trading strategy in R, by applying econometric analysis to fixed income and equity trends Automated Data Retrieval (

• Application designed to automate quantitative data retrival for traders, economists, and policymakers TECHNICAL SKILLS

Machine Learning/Statistics: Python (Scikit-Learn, Pandas, Numpy, SciPy), MATLAB, Stata, R Backend/Frontend: Python (Django, Flask, Jupyter Notebook), HTML, CSS, JavaScript Other: Git, SQL, Tableau, JSON


The University of Chicago Chicago, IL

Bachelor of Arts in Economics (Honors) June 2016

● Awards and Honors: Howell Murray Award (Top 1% of Graduates), Maroon Key Society (Top 2% of Graduates), Odyssey Scholarship, Dean’s List, Chicago Academic Achievement Scholarship

● Coursework: Statistics, Multivariable Calculus, Econometrics, Linear Algebra, Discrete Mathematics

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