shyam sunder tiwari
@shyamsundertiwari
Data Analyst specializing in financial data quality, automation, and dashboard-driven decision-making.
What I'm looking for
I’m a Data Analyst with 6+ years of experience in financial data analysis, visualization, and automation. I focus on improving data accuracy and enabling data-driven decision-making through rigorous data quality frameworks.
At American Express, I drive data quality initiatives by analyzing large datasets, identifying anomalies, and ensuring the accuracy and integrity of critical financial data. I design and maintain interactive dashboards using Power BI and Excel, and I use Python-based automation to streamline manual processes and reduce operational overhead. I also coordinate with cross-functional stakeholders to investigate and resolve data-related issues while managing incident work-flows for consistent service reliability.
Previously at Tata Consultancy Services, I worked on a data quality management framework (Qalibrate) leveraging complex SQL validation to detect and remediate financial data anomalies, with end-to-end incident management via ServiceNow. I also built applications using Python, SQL, and Flask, developed a Selenium-based news scraping framework, and contributed to cyber-forensics research by detecting attacks such as DDoS, ARP, DNS, and Port Attack using deep learning models deployed with Django.
Experience
Work history, roles, and key accomplishments
Drove data quality initiatives for critical financial datasets by analyzing large data, detecting anomalies, and ensuring accuracy and integrity. Built interactive KPI dashboards in Excel and Power BI and developed Python/PySpark automation to streamline data cleaning and reduce operational overhead.
Built and maintained a data quality management framework using SQL-based validations to detect and remediate financial data anomalies. Led incident workflows and root-cause analysis (ServiceNow) and developed Python/Flask-based applications for data analysis, cleaning, and automation to improve decision-making and efficiency.
Research Intern
IIT Kanpur
May 2018 - Jul 2018 (2 months)
Worked on small-scale aircraft detection in satellite images using deep learning object detection models. Trained and evaluated models (YOLO, SSD, and R-CNN) and presented comparative results for accuracy and precision.
Education
Degrees, certifications, and relevant coursework
Institute of Engineering and Technology, Lucknow
Bachelor of Technology, Computer Science & Engineering
2015 - 2019
Activities and societies: Published a comparative assessment paper on deep learning models for small-scale aircraft detection in satellite imagery and presented it at the IEEE Bangalore INCET 2020 conference (YOLO, SSD, RCNN).
B.Tech in Computer Science & Engineering at the Institute of Engineering and Technology, Lucknow from 2015 to 2019.
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