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Technology & Asset Operations @ Pearlx
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Assessing your cultural and operational fit
Machine Learning Engineer with experience in energy and time series forecasting. My skills include building and deploying machine learning applications, data mining/scraping, data visualization, rapid prototype deployment and optimization.
Drexel University
M.S, Environmental engineering
N/A – Present
Sri Venkateshwara College Of Engineering (Anna University)
Bachelor of Engineering, Electrical and Electronics
N/A – Present
Vidya Mandir Higher Secondary School
High School Diploma, Biotechnology
N/A – Present
PearlX
Senior Director of Technology
March 1, 2024 – Present
PearlX
Director | Asset Management & Machine Learning
July 1, 2021 – February 1, 2024
Vanguard
Sr. Artificial Intelligence Engineer
April 1, 2019 – June 1, 2021
Greater Philadelphia
Viridity Energy Solutions, Inc.
Machine Learning Engineer
January 1, 2016 – March 1, 2019
Greater Philadelphia
Viridity Energy Solutions, Inc.
Product Prototyping Engineer
January 1, 2013 – January 1, 2016
Greater Philadelphia
the Math Forum @ Drexel
Programmer
January 1, 2012 – June 1, 2012
Greater Philadelphia
Drexel University
Research Intern - Hydraulic/Hydrologic Modeling
April 1, 2011 – December 1, 2012
New York City Metropolitan Area
the Math Forum @ Drexel
Programmer
March 1, 2011 – June 1, 2011
Greater Philadelphia
Urban Tree Connection
Project Engineer - Rain Water Harvesting System Design
November 1, 2010 – September 1, 2012
Greater Philadelphia
Sharanam Project, Pondicherry, India
Project Trainee
January 1, 2010 – May 1, 2010
Puducherry, India
HTML web design
March 1, 2012 – June 1, 2012
Tasks include: > Transferring the website onto a new server > Revamping the website using HTML 5 and Javascript > Improve user interface and user experience
Valuing Energy Shock & Building Energy Modeling
January 1, 2012 – June 1, 2012
Incorporating risk of an energy shock into valuation of energy efficiency investments using Energy Forecasting Models • Applied stochastic calculus techniques to model energy price volatility • Model based on limited pricing data that is incorporated into a Monte Carlo forecasting model • Future simulated energy pricing applied to specific efficiency technologies in HVAC systems and used for scheduling of demand-side efficiency savings project • Used MATLAB and MS Excel to develop a data-driven energy model and a grey box model for PV integrated building system and develop a demand response strategy for the building using the Day Ahead LMP ($)
Cramer Hill, NJ
January 1, 2011 – June 1, 2011
Minimized the existing condition runoff that occurs in the watershed using hydrologic models (SWMM 5.0) and Life Cycle Assessment Tools (SimPro 7.0) • Estimating the existing condition run-off and comparing it with predevelopment conditions • Designing rain gardens and bio-retention areas that could be implemented to minimize runoff • Life Cycle Assessment of existing conditions and conditions implementing Green Infrastructures
Senior Design Project
December 1, 2008 – April 1, 2009
Designed a power system for a wind turbine • Designed and simulated a power control system using AC chopper/converter using MATLAB and performed a feasibility study for newly designed wind power systems
Deep Learning Nanodegree
Udacity
June 24, 2026 – Present
Delaware Engineer-In-Training (Electrical & Computer)
NCEES
June 24, 2026 – Present
Functional Programming Principles in Scala
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans environmental engineering, energy systems, and AI/ML, indicating a broad interest and adaptability. While the target role is 'Data Analyst', much of the recent experience is in 'Machine Learning Engineer' and 'AI Engineer' roles, which are more advanced than a typical Data Analyst role. This might suggest an overqualification or a potential mismatch if the Data Analyst role is purely focused on basic reporting and dashboarding. However, the foundational data analysis skills are present. The project diversity shows a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a methodical approach to problem-solving, including research, modeling, and implementation. Experience in prototyping and supporting software teams suggests an ability to translate technical concepts into practical solutions and collaborate. The diverse project background implies adaptability and a willingness to tackle varied challenges.