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Click here or scroll down to respond to this candidate Candidate's Name
Bloomington, IN | PHONE NUMBER AVAILABLE |EMAIL AVAILABLE
EDUCATION ________________________________________________________________________________
Indiana University Bloomington, IN, USA May Street Address
Master of Science in Computer Science GPA: 3.7/4
Coursework: Applied Algorithms, Advanced Database Concepts, Agile Software Engineering, Data Visualization, Data Mining
GITAM School of Technology, TS, India Apr 2019
Bachelor of Technology in Computer Science and Engineering GPA: 8.48/10
Coursework: Data Structures and Algorithms, Object Oriented Programming, Probability and Statistics, Discrete Mathematics
WORK EXPERIENCE________________________ _______________ ___________________________________
Indiana Geological and Water Survey Python Developer Nov 2022 May 2023
Indiana, US | Python, MS SQL, Microsoft Azure, Git
Engineered Python solution for weather station data analysis with MS SQL, employing advanced scripting for seamless processing.
Utilized Pandas for structured manipulation and NumPy for numerical operations.
Collaborated with geologists to automate anomaly detection and alerts, resulting in an 8-hour weekly reduction in manual labor.
Utilized Azure Functions for efficient serverless event-driven automation, optimizing workflows and scalability.
End Client: Williams Companies, OK, USA SQL Developer Apr 2019 May 2021
Employer: Wipro Technologies
TS, India | SQL, PL/SQL, Oracle, Oracle Cloud, Power BI, Excel, Informatica
Orchestrated intricate SQL operations, employing subqueries, window functions, and CTEs to manipulate and extract data
efficiently.
Defined and implemented complex business logic using PL/SQL packages, procedures, and functions, facilitating data processing
and extraction. Adept in Excel with advanced skills in Power Query, PivotTables, Index-Match, and VLOOKUP.
Successfully led the migration of 220 intricate financial reports from the Oracle 11g database to the Oracle Cloud platform,
showcasing expertise in data migration, database architecture, and query optimization.
Engineered concise Power BI reports, employing Power Query for data extraction, DAX for intricate data modeling, and diverse
visualizations to highlight key performance indicators (KPIs).
Automated a mailer program that sends data from the database to the vendors of our client on a day-to-day basis, using Python,
which was previously done manually, reducing the overhead of 10 hours per week.
Utilized Informatica PowerCenter for efficient ETL workflows, seamlessly ingesting CSV data into Oracle databases. Applied
advanced data extraction and transformation techniques, incorporating Expressions, Lookups, and Routers.
Collaborated with cross-functional teams in a client-facing role to gather, document, and analyze requirements, ensuring effective
communication between stakeholders and successful project delivery.
TECHNICAL SKILLS_____________________ __________________________ ____________________________
Languages: Java, Python, C, C#, SQL, JavaScript, PL/SQL
Databases: PostgreSQL, MySQL, MS SQL, Oracle
Business Intelligence: Microsoft Power BI, Oracle Transactional Business Intelligence, BI Publisher
Frameworks: Django, Flask, NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow
ACADEMIC PROJECTS_______ _________________________________________________________________
Adventure Works Cycles Data Analytics Initiative Aug 2022 Dec 2022
Tech: Microsoft Power BI Desktop
Automated Power Query workflows with diverse connectors and storage modes for efficient extraction, transformation, and
loading at Adventure Works Cycles.
Implemented data modeling best practices, optimizing structures, relationships, and hierarchies for a robust model.
Applied DAX for calculated columns and measures at utilizing powerful functions, iterators, and time intelligence patterns.
Implemented diverse visualizations for insightful data analysis and reporting.
Event Factory (Link) Jan 2022 May 2022
Tech: Python, Flask, React, PostgreSQL, Heroku, Git, JIRA, REST API
Developed a Python-Flask web app, integrating React and PostgreSQL back-end for seamless venue booking and event registration.
Streamlined data storage and retrieval with robust REST APIs for venue reservations, event calendars, and registration
management. Proficiently used Git for version control in Agile.
Orchestrated "Event Factory" deployment on Heroku, ensuring high user availability as a cloud-native application.
CERTIFICATIONS___________ _________________________________________________________________
Microsoft Certified: Azure Fundamentals (2023) (Link)
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