Mohammed Basheer Ahmed
Email: ****.************@*****.*** Contact: 315-***-****
Professional Summary
As a Research Assistant in Electrical & Computer Engineering department at Clarkson University, I developed a Python program which interfaces with OpenDSS to solve complex real-time Optimal Power Flow calculations and run an entire grid by deploying an artificial neural network to monitor, manage and efficiently divert power flow to the emergency services in case of an emergency, developed on IEEE bus systems to optimize power distribution. My experience extends to OpenDSS programming, integrating PV systems, and reducing losses in distribution networks. Additionally, I have demonstrated expertise in DER control initiatives for smart distribution networks. At Google Operations Center, I executed Universal Analytics to GA4 migration and implemented Google Tag Manager. At Amazon, I contributed to project development and managed complex design projects. My diverse experience in technical and analytical roles makes me a strong candidate for your team. Work Experience
Research Assistantship, MS Electrical & Computer Engineering (August 2023 to July 2024) Clarkson University, New York
Proficient in OpenDSS: Worked extensively with IEEE 13, 17, 37, and 123-bus test systems.
Python-OpenDSS Interface Development: Created a Python program to interact with OpenDSS, generating real-time 24-hour voltage profile and per unit value plots.
User-Friendly Design: Developed an interface allowing input of any real-time bus number to obtain detailed plots.
ANN-Based Grid Monitoring: Developed an artificial neural network (ANN) program to autonomously monitor and manage complex grid operations, optimizing load distribution during peaks and emergencies.
Comprehensive Tool Utilization: Jupyter Notebook, PyCharm, Spyder IDE, OpenDSS, Python, MATLAB, and PLEXOS for load flow analysis.
Research Initiative: Conducted an 11-month research project starting at the beginning of my master's program, focusing on ANN training with OpenDSS data to enhance grid efficiency and reliability.
Google Operations Center, SAR1 (March 2023 to July 2023) Sr Implementation Specialist - Google Analytics 4
Universal Analytics to GA4 Migration
Google Tag Manager implementation
GDS dashboard creation and reporting
Ad-hoc reporting
Amazon Development Center, HYD13 (November 2021 to January 2023) Loss Prevention Specialist I
Dynamic, resourceful, and driven Loss Prevention Specialist with High Protected Risk (HPR) Loss Control experience.
Uniquely qualified to understand client needs and deliver risk management solutions.
Organized and dependable candidate successful at managing multiple priorities with a positive attitude.
Analyze data to identify patterns or trends that could indicate potential risks to the business.
Qualifications
Master’s in Electrical and Computer Engineering (August 2023 to July 2024) Clarkson University, New York - G.P.A: 3.55/4.0
Bachelor of Electrical and Electronics Engineering (August 2017 to July 2021) Osmania University, Hyderabad - G.P.A: 6.84/10
Accomplishments
• Dispatchable Energy Resources control for Smart Distribution systems (Research Assistantship) at Clarkson University.
• Internship certificate for the project 'Industrial Automation using PLC & SCADA' from
'ENRUN India'.
• Honored to have been recognized with the prestigious award for 'Most Efficient and Unique Employee' at Amazon Development Center.
Tech Skills
Technical:- PLC SCADA automation, Issue-solving, Motor and Panel Maintenance, Panel Wiring, Diagnostics.
Computer:- Open-DSS, PLEXOS Simulation, Power World Simulator, Python, Machine Learning, Artificial Intelligence, Artificial Neural Networks, MATLAB, AUTOCAD, MS Office, Basics of Automation Programming like Theben KNX, Amazon ICQA, Google Tag Manager (GTM) Implementation; Google Analytics 4.
Functional:- Creating a check list, reading for critical equipment, communication skills, and having a good team Coordination.
References
Available upon request.