Data Analyst Senior
Resume:
Pradeep Kumar Avala
Designation: Sr. Data Analyst
Total Years of Exp.: 14
Associate Email ID: *********@*****.***
Contact No.: 888-***-****
Sr. Data Analyst with 14 years of experience in requirement analysis, data modeling and analyzing for diverse chemical and oil products around the globe. Collaborates effectively to deliver multiple, concurrent projects in fast paced environments. Data handling and analysis, Trend and gap Analysis, Statistical interpretation, Data acquisition and extraction. Passionate and responsible Sr. Data Analyst to deliver outstanding quality. 2 Key Skills:
Domain : Oil Refineries, Chemicals, Petroleum Industry Work Area : Engineering Publications, Grid Check, Imaging, Chemicals Tools : MS Excel, Citrix Application, ArcMap, Appian Application, Google Earth Pro Linguistic Skills: English, Hindi, Telugu
3 Academics:
Degree Specialization University/ Board Year of Passing Diploma E.C.E
State Board of Technical
Education
2009
4 Passport & Visa:
Passport No.: S8811995
Valid Upto: 22nd Jan 2029
5 Employment Scan:
Organization Designation Duration
Cyient LTD SENIOR DATA ANALYST 01-Apr-2014 to till date INFOTECH ENTERPRISES LTD DATA ANALYST 03-Aug-2011 to 31-Mar-2014 USART TECHNOLOGIES SALES EXECUTIVE 01-May-2010 to 12-July-2011 cyient.com
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6 Professional Experience:
CYIENT Offshore Experience:
6.1. Department: Engineering Publishing
Duration: 03-Aug-2011 to 31-Mar-2019
Designation: Data Analyst
Roles & Responsibilities: Data capture & Quality Check Tools Used:
The Process has completed the classification and tagging of various products within the TIUK application
(Likely a product database or enterprise application system). Here's a breakdown of what they’ve done: Product Analysis and Processing:
Different products have been reviewed based on their properties, applications, and associated keywords. These attributes were likely provided in a reference document or data sheet. 1. Keyword Mapping and Tagging:
Keywords related to product usage and application have been assigned to each product. This helps in categorizing the products correctly for better searchability and organization within the system.
2. Code Assignment:
Each product has been assigned a product classification code based on its domain or industry relevance. These codes are based on the following categories: CCEI: Civil and Construction Engineering-related products. PEI: Process Engineering and Industrial-related products. EEI: Electrical Engineering-related products.
FMI: Facilities Management and Infrastructure-related products. 3. Integration with Documents:
The assigned codes have also been linked to the relevant documentation, ensuring that each product’s technical and application data is properly aligned and easily retrievable. The process involves extracting structured product data from client-provided PDFs such as brochures, product-specific documents, and datasheets. This includes analyzing key elements like product names, applications, technical specifications, and publishing dates. The extracted terms are then matched against a client-supplied Oracle-based keyword database to ensure accurate identification. Based on these matches, each product is categorized under predefined classifications such as CCEI, PEI, EDMI, EEI, and FMI.
Major Achievements:
The final output is a well-structured dataset that includes a table of contents and the relevant keywords assigned to each product.
6.2. Department: Imaging
Duration: 01-Apr-2019 to 31-Dec-2022
Designation: Senior Data Analyst
Roles & Responsibilities: Data Capture
Tools Used:
In the imaging services, all the key attributes pertaining to a log are indexed in the database and depth registration is done on the scanned image. This image is linked to the corresponding well with reference to the PI (Petroleum Industry) record. We capture around 50 to 65 attributes in this process. In Indexing main Process is keying log information, which links the Log image to the right well. For this process we use an application called Log Manager+. In Depth Registration image is marked as individual sections through tagging like header, scale, parameter, miscellaneous, white space, depth sections and removal of distortion in the images. For this process we use e-Log application.
Major Achievements:
Achieved cent percent quality in Imaging service
cyient.com
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6.3. Department: Capacity Restoration
Duration: 09-May-2023 to 30-Jun-2025
Designation: Senior Data Analyst
Roles & Responsibilities: Quality Check
Tools Used: ICONA Application, Appian Application, Google Earth Pro, MS Excel Over the past two years, I have been deeply involved in the Capacity Restoration Project, where I have taken on a pivotal role in both Data Capture (DC) and Quality Check (QC) activities. My responsibilities have encompassed gathering critical operational data, validating its accuracy, and ensuring its reliability for downstream analysis and decision-making processes. This hands-on experience has not only sharpened my technical skills but has also reinforced my appreciation for the impact that precise and methodical data work has on large-scale industrial initiatives.
I am particularly passionate about the fields of data analysis and research, where I find great fulfillment in transforming raw data into meaningful insights. My enthusiasm stems from a genuine interest in driving improvements and innovation within the chemical industry. I am committed to leveraging analytical tools and methodologies to support informed decision-making and contribute to efficient, sustainable, and high-impact outcomes. Whether through optimizing existing processes or identifying new opportunities for performance enhancement, I aim to bring value through thoughtful, data-driven solutions that align with the strategic goals of the organization.
Major Achievements:
Led strategic process optimization initiatives that streamlined complex workflows and introduced robust data handling practices, significantly boosting team productivity and operational agility 7 Key Projects Executed (Current & Past):
7.1 Customer: SPGI formerly known as (IHSMarkit)
Country : USA
Duration : 03-Aug-2011 to Till Date
Project: Chemicals (Capacity Restoration)
Project Objective:
As part of the Capacity Restoration Project, I conducted comprehensive research utilizing state government websites, regulatory databases, and various credible online sources to collect and verify chemical-related data. This work required meticulous attention to detail and a strong commitment to data accuracy, ensuring the integrity of the information used in restoration planning and decision-making process
Role: Data capture & Quality Check
Responsibilities:
In the last 2 years i been acetively involved in capacity restoration project, where my role is DC & QC, I'm very excited about my work, particularly in the areas of data analysis and research for chemical companies.
Major Achievements:
Successfully executed strategic process optimization initiatives aimed at simplifying and streamlining complex workflows across multiple operational areas. By critically analyzing existing procedures and identifying inefficiencies, I introduced targeted improvements that reduced redundancies and improved process clarity. In parallel, I developed and implemented robust data handling methodologies, ensuring greater data consistency, integrity, and accessibility across systems. These enhancements collectively led cyient.com
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to a significant boost in team productivity, improved turnaround times, and enhanced overall operational agility, enabling teams to respond more effectively to dynamic project requirements. 8 Previous Experience:
8.1 Company: USART Technologies India Pvt Ltd
Duration: 1 Year
Designation: Sales Executive
Roles & Responsibilities: Co-ordinating Tenders in various places Tools Used: Callibtators
Major Achievements: Grabbed few Tenders in various government related projects. 9 Awards & Certifications:
Consistently recognized for outstanding performance, receiving multiple accolades including the 'Most Valuable Performer – Bronze' and 'Most Valuable Performer – Silver' awards. These honors reflect my dedication, proactive approach, and ability to deliver high-impact results across projects. In addition to my professional achievements, I have actively pursued continuous learning and upskilling. I successfully completed industry-recognized certifications in Generative AI (Gen-AI), Internet of Things
(IoT), and Introduction to Data Science through NASSCOM. These certifications have strengthened my technical foundation and enhanced my ability to contribute effectively to data-driven and technology- enabled initiatives.
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