About

Bram was born in Jakarta, Indonesia, and moved to the suburbs of Atlanta when he was 7 years old. He now lives in Tucker, GA with his wife and three kids. He’s tactical, pragmatic, and loves to learn.

What people say about Bram:

His wife says he’s a loving husband, his kids say he’s a fun dad! His parents would say he’s a respectful son, his siblings would say he’s a risk taker, his friends would say he’s encouraging and loyal, his ex-employers/peers would say he’s diligent and gets the job done, and he would say he’s a dreamer and has an optimistic outlook on life.

What does Bram like to do?

Read bedtime stories to his kids
Visit the local beer garden with the Wife
Spend time with family and friends
Having friends over, smoking meat while drinking beer, and starting a conversation with… remember the time when…
Golfing, then contemplating on why he still plays because he’s not very good at it

Virtues to live by:

Empathy - Golden Rule “Treat others the way you want to be treated”
Decisive - Perform without fail what you set out to do
Peaceful - Don’t be disturbed at unimportant things, or at random accidents

“He is comfortable presenting new ideas to a large team and is also comfortable and excels at client relations. Bram doesn’t shy away from challenges and stops for feedback along the way. He is extremely effective at making processes – in several areas of a company – more efficient. He stays ahead of the curve in technology, and often implemented processes in this arena that made the day to day operations smoother and time-efficient.”

Chris Wenner - Managing Director, Wennco LLC

Technical Projects

Dynamic content generation

A tool that generates custom content based on consumer input

Utilized LLMs and vector database to generate domain-specific content (RAG method).
Created pipelines to implement for production use.

Sentence-classifier/style-detection

A tool to detect sentence type and style of writing

Used ensemble learning to classify sentence type e.g., introduction, call-to-action, etc.
Used LLMs/Tranformers to identify tone/style of writing, e.g., casual/formal, and elaborate/concise.

Content manager and generation

A tool to create, read, update, and delete content

Used Streamlit as the UI including authentication
Created efficiency, usability, and accessibility of content management (before using Google Sheets)
Generated email suggestions based on phrases and words that resonate with a person’s personality

Personality prediction

A tool to predict Disc type

Ngram analysis, used to identify correlations between words and personality type

Portfolio Liquidation Forecasting (pre-purchase)

A tool for Debt Buyers to predict portfolio liquidation prior to purchase of using Machine Learning Models

Ensemble learning which decreased error rate significantly in overall purchase and per portfolio purchase
Outperformed existing internal models and third-party vendors in which we spend $200k+ annually

Propensity-score

A tool for Collection Agencies to identify and rank-order consumers with the highest likelihood of payment

Performed resampling strategies dealing with Imbalanced data, created ML-generated features
Used ensemble learning to increase model performance

Efficient Revenue Recovery - Github

A tool for Collection Agencies to segment and rank accounts by likelihood of payment using Machine Learning Models

Merge multiple datasets using Pandas, cleaned and explored data, 12+million records and 46+ columns
Utilized scikit-learn dimensionality reduction: PCA, t-SNE and Truncated SVD in order to cluster classes
Exhausted multiple classification models, with SVM as the best accuracy
Created a scoring system using feature importance and manipulated data to segment and rank accounts
Communicated findings to executives, highlighting areas of potential improvement and ideas for future work

Sarcasm Detection Using News Headlines - Github

Text classification using NLPs to detect sarcasm using news headlines

Used word embeddings to retain semantic relationships within words
Utilized recurrent neural network (RNN) with a pre-trained embedding layer GloVe resulting 81% accuracy
Defined plotting function to visualize model performance

Statistical Testing - Github

Testing if discounts have a statistically significant effect on the number of products customers order

Checked for data normality visually using Q-Q plot and statistically using SciPy’s normal test
Performed Welch’s T-test and examined effect size using Cohen’s d
Summarized results with p-value, confidence level, and the significance of effect size

Languages

English
Bahasa Indonesia

Experience

Crystal

Nashville, TN - Remote (Software) - Product, Data Scientist

Aug 2022 - Present

Implemented and established data pipelines and data department within organization
Used ML techniques to optimize personality prediction engine
Use text mining/analysis, NLP techniques to generate text suggestions (feature) based on DISC types
Created and implemented sentence category/type detection within email using LLMs
Generated dynamic content using RAG method - Used LLM api along with vector database api to create custom content
UI for content management using Streamlit - create, read, update, and delete company content (used gsheet before)

Capio LLC

Atlanta, GA (Healthcare Asset Management/Receivables) - Data Scientist II

Nov 2019 - July 2022

Implemented and established data science method (OSEMN) and department within organization
Enriched data using NLP/NLTK to predict missing gender, sourced behavioral/demographic data to create consumer segments
Data enrichment, sourced behavioral data to better understand our consumers (MPI, Esri and ArcGIS toolkit)
Created Forecasting models to predict portfolio liquidation rate which increased accuracy of liquidation forecast by 100%

Wennco LLC

Atlanta, GA - Partner, Head of Operations and Trader

Jan 2018 - Sep 2018

Responsible for trading operations, portfolio management and trade execution
Assisted portfolio construction on equities and equity options
Managed and communicated with institutional partner relationships
Collaborated with CIO on research, trade ideas, products and market letter construction
Organized internal data and created systems

Peachcap

Atlanta, GA - Head of Technical Analysis and Trader

Feb 2017 - Jan 2018

Responsible for portfolio construction (equities and options), and market letter construction
Generated equity / index options for covered call and custom collars for portfolios and clients
Traded Institutional SMA, and in house SMA strategies, and managed in house Index options Strategy
Communicated critical data/information to department heads to ensure best practice and outcome
Presented weekly/monthly reports to investment committee

Peachcap

Atlanta, GA - Equity Research Analyst and Junior Trader

Oct 2016 - Feb 2017

Researched equities with a base of Graham and Dodd Security Analysis
Equity screening using sell / buy side research and other publicly available information (regulatory filings)
Assisted in portfolio construction (equities), data screening and time sensitive research material

Self-employed

Atlanta, GA

Oct 2015 - Oct 2016

Managed personal portfolio, income generating strategy, using equity options.

Formcase

Atlanta, GA - North American Operations and Sales Manager

Aug 2009 - Oct 2015

Generated 60% of sales, breaking $1MM of revenue for North America
Managed North American operations and communicated with clients to ensure prompt deliveries and satisfaction
Reported to executives, and collaborated with plant managers to achieve timely deliverables
Created systems to improve information flow, planning and logistics management

Education/Certification

Flatiron School: Data Science Immersive
- Statistical analysis, data acquisition, data modeling, machine learning, deep learning, NLP
- Python, SQL, SQLAlchemy, scikit-learn, SciPy, NumPy, Pandas, Keras, Matplotlib, Seaborn
SQL: DataCamp
R: DataCamp
FINRA Series 7, Series 9