Data Scientist at The AES
Corporation, leading the Renewable Generation Forecasting platform, supporting LNG
Optimization, Turbine Fault Detection, LLM-based resume evaluation, and EVSE planning. Recommendations from
peer and direct manager can be found on my
LinkedIn profile 📩.
A self-proclaimed photographer. I love capturing pictures of architecture,
landscapes, stars, and wildlife. These photos not only showcase the world but also
reflect a
part of myself at that moment.
I've set foot on six continents, with Antarctica being the only one left to explore.
Taught various courses in Mathematics and Statistics while doing Ph.D at Binghamton University. My
notes for Linear Algebra,
Calculus 3 and Statistics, can be found at the following links : 🔖(LinAlg), 🔖(Cal3) and 🔖(Stat).
Studied Mathematics and Statistics, researched in Random Matrix Theory at Binghamton
University.
Studied Economics and Mathematics, with a focus on Financial, Actuarial and Computational Mathematics
at Baruch
College.
Skilled in multiple scripting languages, including Python, R, Javascript and Julia.
On this website, I will be creating notes on various materials for myself and others to learn or review.
The AES Corporation - Digital Solutions and Innovation
Data Scientist May 2023 -- Present, Houston TX
Wind & Solar Generation Forecasting
Spearheaded development of the AES Farseer renewable generation forecasting system for 30+ AES wind
and solar sites across the Americas. Achieved 30.4% mean absolute error reduction compared to vendor
models, generating $12.2M in operational savings by improving forecast accuracy.
Researched the impact of extreme weather events such as icing on wind generation, calibrated models
to the local weather patterns, and achieved a 45% reduction in forecast error under extreme weathers.
Enhanced model interpretability and strengthened stakeholder trust through the use of explainable AI
(XAI) techniques.
Solar Panel Dust Detection & Fault Detection System
Implemented EfficientNet architecture in PyTorch for solar panel dust detection, achieving a 16%
improvement over traditional CNN models.
Developed turbine fault detection models using Moving Window PCA, reducing fault detection time from
7 days to under 48 hours. The models reduced maintenance costs by over 45%.
LNG Optimization Model
Created stochastic dual dynamic programming (SDDP) models in Python/OR-Tools to optimize LNG
procurement strategy, increasing profit by 24% through dynamically balancing inventory, obligations,
and price volatility.
Other Projects
Collaborated with HR specialists on resume scoring models using Large Language Models (LLMs) &
Natural Language Processing (NLP) techniques. The model reduced the resume screening time of 300
applications from 2 weeks to 1 day.
Commodity Trading
Forecasting
Renewable Energy
EVSE Locational Valuation LLMs NLP
Data Science Intern May 2022
- Aug. 2022
,
Indianapolis IN
Leveraged Random Matrix Theory and Modern Portfolio Theory to develop an internal package for
solving various portfolio
optimization problems.
Worked with teams of engineers and traders to leverage AI/ML for daily operations.
Portfolio Optimization Random Matrix Theory Modern Portfolio Theory Machine Learning
Binghamton University -
Department of Mathematics and
StatisticsTeaching Assistance / Instructor 2016 - Present, Binghamton NY
Taught over 1000 students in Data Science, Probability, Statistics, Linear Algebra, and
single/multivariate Calculus
Created comprehensive study materials and interactive learning resources that improved student
comprehension of advanced mathematical concepts
Implemented data-driven assessment strategies, resulting in 20% average improvement in student
performance from initial to final exams
Provided individualized support through regular office hours and proactive student outreach,
maintaining consistently high student satisfaction
Instructor Binghamton
Graduate Student Organization at Binghamton Student Senator Sep. 2021 - Present, Binghamton NY
Attend senate meetings and committee meetings, on behalf of over 70 graduate students in department.
Attend Senate meetings and committee meetings, on the behalf of over 70 graduate students in the
department.
Communicate with colleagues in math department on pertinent issues raised during meetings.
Student Senator Graduate Student Organization
Queensborough Community
College - Math
Center Math Tutor Feb. 2014 - Aug. 2016, Queens NY
Worked with students from disadvantaged backgrounds.
Guided students in developing study strategies and good study habits.
Led group and one-on-one tutoring session for struggling students.
Tutored students in courses including algebra, trigonometry, calculus and linear algebra.
Tutor Queensborough
Google Cloud Big Data and Machine Learning Fundamentals 🔗
Sequence Models for Time Series and Natural Language Processing🔗
Master Python for Data Science, LinkedIn Learning 🔗
Google Cloud ☁Python SQL Data Science Probability Financial Mathematics
Binghamton University, SUNY Binghamton,
NYPh.D. in Mathematics and Statistics (2023, ABD) Master of Science in Mathematics and Statistics (2018)
Dissertation Fellowship GPA : 3.91/ 4.00
Ph.D.Fellowship Mathematics StatisticsBinghamton
Baruch College, CUNY New York, NYBachelor of Art in Economics (2016) Bachelor of Art in Mathematics with a minor in Philosophy (2016)
Dean's List GPA: 3.77/4.00
Mathematics Economics Philosophy BaruchDean's List
Francis Lewis High School Queens, NYHigh School Diploma (2011)
Math Team