About Syed Razauddin Shahlal
-
Viewed 335
About me
As a data science graduate student at the University at Buffalo, I am passionate about applying advanced statistical techniques and machine learning methods to real-world challenges. I have a bachelor’s degree in mechanical engineering and multiple certifications in data analysis and related tools.
I have over two years of experience as a data analyst, working on various projects involving network performance, material data, and cost analysis. Most recently, I worked at Star Link Spatial Communications LLC, where I leveraged data from sensors and PRTG to evaluate and improve the connectivity of offshore SatCom assets.
I am proficient in Python, R, SQL, and data visualization tools, and I enjoy exploring new datasets and extracting valuable insights. I have a research-oriented mindset and a drive for solving complex problems. I am eager to collaborate with cross-functional teams and contribute to data-driven projects that drive innovation and growth.
Education
-
2023 - 2024
University at Buffalo, The State University of New York | Buffalo, New York
Master of Science: Data Science
-
2014 - 2018
Bachelor of Engineering: Mechanical Engineering
Visvesvaraya Technological University | Karnataka, India
Experience
-
2024 - Present
University at Buffalo, Buffalo, New York
Research Assistant
• Leveraged an HPC cluster for efficient execution and training of GloVe, CBOW, and Skip-Gram models on Management
Discussion and Analysis (MD&A) sections extracted from 10-K filings retrieved from SEC Edgar database. Approach facilitated
automated data transformation and enhanced identification of potential fraud through advanced text embedding
techniques. Applied BERT model, training it on financial corpus to generate sentiment of MD&A disclosures. -
2021 - 2022
Star Link Spatial Communications LLC, Abu Dhabi, UAE
Associate Data Scientist
Client – Yahsat, Abu Dhabi, UAE | Abu Dhabi National Oil Company, Abu Dhabi, UAE
• Spearheaded development of machine learning models to predict network disruptions and boost VSAT system performance,
resulting in an impressive 25% decrease in unplanned downtime and production interruptions.
• Designed and executed end-to-end data science pipelines, seamlessly handling data preprocessing, model training, and
evaluation, and deployed a CI/CD pipeline with Flask and Docker, accelerating project timelines by 20%.
• Empowered stakeholders with data-derived insights from predictive models, resulting in a 30% improvement in maintenance
planning accuracy, optimizing resource allocation, and generating cost savings of $350,000 annually.
• Created and optimized Tableau dashboards, ensuring efficient server resource utilization and faster load times. -
2019 - 2020
Al Mulla Group, Al Ahmadi, Kuwait
Technical Analyst
Client – Kuwait Oil Company, Kuwait
• Evaluated attendance, costs, and billable attributes leveraging Python and SQL, ensuring project compliance, accurate billing,
and profitability.
• Collaborated on data integration efforts, defined KPIs, and performed variance analysis. Managed change orders efficiently
and maintained transparent client communication. Achieved a 94% accuracy rate in billing.
• Engaged in regular client communication, providing insights into project performance. Leveraged historical data trends to
forecast future project performance, costs, and potential risks, resulting in an 18% reduction in cost overruns and better risk
management. -
2018 - 2019
Allegis Group (EASi), Chennai, India
Graduate Engineer Trainee
Client – Renault Nissan Technology and Business Center India Pvt Ltd, Chennai, India
• Analyzed vehicles material data structure using Python for precise substance detection, achieving a 98% accuracy rate.
• Implemented strategies with Nissan suppliers, resulting in a 20% reduction in hazardous substances.
• Identified data issues, created reports, and utilized Excel and Tableau for data visualization.