Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization tools.
Overview
5
5
years of professional experience
6
6
years of post-secondary education
Work History
Data Analyst Intern
Fairfax County Fire & Rescue Department
Fairfax, Virginia
01.2023 - 05.2023
Hydrant Object Detection using Computer Vision:
Collaborated with Fairfax County Fire and Rescue Department to develop a Fire Hydrant Detection System using computer vision techniques
Goal: Accurately detect fire hydrants in images
Utilized tools: TensorFlow, OpenCV, Object Detection API, and Jupyter Notebook
Worked with a large dataset of around 250GB containing annotated images with hydrant locations
Trained and evaluated two object detection models: COCO Pre-trained EfficientDet and Faster R-CNN
Models are known for proficiency in detecting objects like fire hydrants
Successful implementation offers potential benefits for firefighters
Swift and accurate hydrant detection enhances emergency response times
Enables prompt access to water sources, improving fire combat efficiency
Potential to save lives and minimize damage during fire emergencies.
Utilized various professional statistical techniques and maintained large databases to collect and analyze data from partners and customers.
Data Analyst
Infosys Ltd. , India
12.2017 - 03.2021
Played a pivotal role in enhancing the efficiency of financial report generation by harnessing my Python programming skills
Collaborated within a dedicated team to design and implement Python scripts tailored for data quality checks, ensuring the consistency, integrity, and precision of financial data
Employed Python to develop automated processes that not only expedited report generation but also reduced the risk of errors in financial data
Designed and maintained data models within OFSAA (Oracle Financial Services Analytical Applications) to represent financial instruments, accounts, and other relevant entities
Analyzed large datasets using AWS data analysis tools like Amazon Redshift, Athena, EMR, etc
Transformed data using AWS Glue to prepare it for analysis
Integrated AWS data services like S3, Glue, and Lambda into data workflows
Created compelling data visualizations and dashboards using tools like Amazon QuickSight to communicate findings effectively
Utilized advanced features within the OFSAA application to perform intricate data analysis, contributing to data-driven decision-making across the organization
Demonstrated proficiency in SQL Developer and Oracle Data Integrator (ODI) to create a cohesive and integrated data environment
Experienced in developing Stored Procedures, Functions, Views and Triggers, Complex SQL queries using SQL Server, TSQL and Oracle PL/SQL
Integrated financial data from various sources into OFSAA, ensuring data accuracy and consistency
Developed and maintained Extract, Transform, Load (ETL) processes
Enabled seamless data integration, transformation, and analysis, which, in turn, paved the way for faster and more informed decision-making
With an in-depth understanding of various database management systems, including SQL Developer, PostgreSQL and MYSQL, I possess a well-rounded skill set that is essential for enhancing data-related processes
Expert in data preparation with experience in blending multiple data sources, and creating multiple joins within the same data source
Designed, developed, and tested various PowerBI as well as Tableau visualizations for dashboard and ad-hoc reporting solutions
Developed interactive dashboards and reports using Looker
Created compelling data visualizations to communicate insights effectively with the help of Tableau
Designed interactive dashboards with drill-down capability, roll-back capability, customizations by using both live and extract data connections
Worked with various team including Business Analysts, ETL, Data Warehousing, and testing for smooth flow/transition of development life cycle
Utilized Python for data quality checks, ensuring that data inconsistencies and inaccuracies are minimized, leading to more reliable insights
Proficient in extracting meaningful patterns and trends from complex datasets, thus aiding strategic planning and resource allocation
My combined expertise in data analysis, scripting, and data management positions me to make informed contributions to improving organizational processes and fostering effective decision-making
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.