Work Experience, Research Experience, and Education

Welcome to my website! I'm Satyam Pandey, a computer science professional with expertise in Data Science, Finance, Cybersecurity, and Cloud engineering; driving innovative solutions for sustainable business growth and technical excellence.

Driven by a passion for cutting-edge technology and a relentless pursuit of excellence, I am a versatile computer science professional.

I am passionate about leveraging technology to drive sustainable solutions. 

Let’s connect on LinkedIn (www.linkedin.com/in/pandeysatyam) or reach out via email at 7satyampandey@gmail.com. I look forward to collaborating and making a positive impact!

Work experience

June 2024  - Present

Exelon

Senior Quantitative Analyst


As a Senior Quantitative Analyst at Exelon, I led the development of sophisticated predictive models for Low-Income Energy Affordability Data, enhancing the accuracy of forecasts and enabling more targeted interventions. I engineered advanced models to evaluate AI's future impact, greatly improving scenario analysis and strategic planning. Additionally, my research into qualitative models for the Home Energy Affordability Team played a key role in reducing energy costs for low-income households. My contributions have significantly optimized resource allocation and strategic decision-making, setting new standards in quantitative analysis and forecasting.


January 2024  - May 2024

PECO

Data Scientist

At PECO, I've driven efficiency by implementing a Round Robin Peer Review System, boosting overall efficiency by 25%. I've also improved project contract comprehension with Gantt charts, resulting in a 5% increase in stakeholder understanding. Currently, I'm developing a Power App to extract data from the P6 database and provide predictive insights through AI integration. My commitment to leveraging technology for operational optimization and strategic decision-making has been pivotal in driving impactful initiatives at PECO. Through innovative solutions and collaborative efforts, I continue to contribute to the organization's success in delivering projects efficiently and effectively.



September 2022  - January 2024

National Science Foundation (NJIT)

Data Scientist - Machine Learning Engineer


As a Lead Researcher at CIMSEPP specializing in pharmaceutical engineering, I pioneered the development of advanced machine learning (ML) and deep learning (DL) models. These models were crucial for accurately predicting drug compound ratios, a key factor in drug formulation. My approach involved employing a variety of ML algorithms, including regression, classification, and neural networks, to optimize pharmaceutical formulations. This was further enhanced by leveraging deep learning techniques, particularly multi-layer neural networks, significantly boosting the accuracy of complex drug ratio predictions. My work led to groundbreaking advancements in drug formulation, ensuring the properties and quality of Active Pharmaceutical Ingredients (API) and excipients. This innovative approach not only advanced pharmaceutical engineering research at CIMSEPP but also set new standards in precision medicine.


September 2022  - December 2024

New Jersey Institute of Technology

Research Assistant – Cyberpsychology (Data Analyst)

As a Data Analyst, I harnessed the power of data mining and web scraping to analyze extensive datasets, achieving a notable 25% reduction in response times for various research projects. Additionally, I designed and developed over 40 interactive data visualization graphs using advanced techniques, enhancing data comprehension and improving the overall user experience for researchers. By engineering an innovative solution for rigorous data cleaning, I boosted efficiency by an impressive average of 30%, ensuring the highest data quality and reliability. To extract deeper insights from textual data, I conducted Sentiment Analysis with NLTK, generating Word-Clouds and assigning sentiments to keywords for impactful text analysis. My multifaceted approach to data analysis and visualization significantly contributed to the success of research endeavors, empowering researchers with accurate, insightful, and actionable information.





June 2023  - December 2024

New Jersey Institute of Technology

Research Assistant – Bio-Tech (Data Analyst)


As a Research Assistant in BioTech specializing in Parflow for Watershed Spatial Modeling, I applied data mining and web scraping techniques to analyze extensive datasets, achieving a notable 25% improvement in response times. Additionally, I leveraged advanced programming languages such as C++, C, Python, SSH, and RStudio to craft over 40 visually captivating and user-friendly data visualization graphs. My proficiency in conducting thorough data cleaning consistently led to an impressive average reduction of 15% in data errors. These contributions enhanced the efficiency and accuracy of our research, resulting in valuable insights for watershed spatial modeling.


February 2023  - October 2023

New Jersey Institute of Technology

Research Assistant – Data Science and FinTech                                      

In my role as a Data Analyst for FinTech and real estate ventures, I successfully collected and curated data from more than 10 peer-to-peer lending and crowdfunding sources, ensuring the relevance and reliability of the datasets. Leveraging Python web scraping and content analysis techniques, I meticulously analyzed approximately 100 diverse datasets, extracting valuable insights to support informed decision-making. To keep the research progress on track, I actively participated in regular meetings with faculty members, providing them with comprehensive progress updates and engaging in constructive discussions to explore potential avenues for enhancing the research outcomes. By employing cutting-edge data analysis methods and maintaining open communication with the team, I contributed significantly to the success of our research endeavors in the dynamic realms of FinTech and real estate.



January 2023  - October 2023

New Jersey Institute of Technology

Research Assistant – Principal Investigator (Financial Analyst)

I spearheaded groundbreaking research on Environmental, Social, and Governance topics, propelling the progress of sustainable business practices. By employing advanced research methodologies, I meticulously collected, analyzed, and interpreted datasets to ensure the accuracy and reliability of findings. Leveraging my domain knowledge, I effectively categorized filtered keywords, facilitating focused analysis and generating targeted insights.



January 2023  - October 2023

New Jersey Institute of Technology

Career Development Services Mentor

As a Career Development Services Mentor, I guided students on their career journeys, providing personalized support and empowering them to make informed decisions. Through tailored mentorship, workshops, and industry insights, I helped students develop their skills, set goals, and navigate the job market with confidence. Together, we explored diverse career options, honed their strengths, and fostered their professional growth.



September 2019  - August 2022

ZS Associates

Financial Data Scientist and Application Administrator

At ZS Associates, I led data visualization projects using Tableau and Power BI, driving a 25% increase in data accuracy. Through Shell Scripting, AWS, and database design, I enhanced data accessibility, resulting in a 20% improvement. I streamlined processes with PowerShell scripting, reducing manual workload by 15%. By optimizing dashboard performance with SQL, I achieved a 25% boost. Analyzing AWS infrastructure led to a 15% revenue increase through new Savings Plans and RIs. As a top performer, I earned the "Best Employee" award, managing Windows/Linux servers on AWS for data-driven dashboards.



May 2018  - September 2019

The Tech Inc.

Software Engineer and Cyber Security Analyst

At The Tech Inc., I played a pivotal role in coordinating website overhauls, improving load speed by 30%. I implemented SEO strategies and user-friendly interfaces, boosting travel bookings by 30%. By translating complex client requirements into efficient application designs, I reduced development time by 10% and error rates by 15%. I fortified security through robust firewall configurations, penetration testing, and incident response planning. Additionally, I administered security audits and implemented controls to safeguard sensitive data.



Education


New Jersey Institute of Technology

Master of Science in Computer Science (GPA: 3.90/4.00)



Shri Ramdeo Baba College of Engineering and Management

Bachelor of Engineering in Information Technology (GPA: 3.12/4.00)