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Data Analyst with 2+ years in Python, Spark & Machine Learning
Experience in developing Map Reduce Programs using Apache Hadoop for analyzing the big data as per the requirement. Hands-on Spark ML Lib utilities such as including classification , regression, clustering, collaborative, filtering, dimensionality reduction. Implemented Spark using Scala and Spark SQL for faster testing and processing of data. Involved in running all the hive scripts through hive, Impala, Hive on Spark and some through Sparks QL Performed advanced procedures like text analytics and processing, using the in- memory computing capabilities of Spark using Python On EMR. Processed data from different sources to AWS Red shift using EMR-Spark, Python programming.
Loyola Institute of Technology and Management
Bachelors in Civil Engineering · Civil Engineering
N/A – June 30, 2022
PCS GLOBAL PVT LTD
Data Analyst
February 1, 2024 – April 1, 2024
India
W3 Softech Pvt. Ltd., Hyderabad
QA/QC
December 1, 2023 – January 1, 2024
Hyderābād, Telangana, India
W3 Softech Pvt. Ltd., Hyderabad
QA/QC
December 1, 2022 – April 1, 2023
Hyderābād, Telangana, India
W3 Softech Pvt. Ltd., Hyderabad
QA/QC
August 1, 2022 – November 1, 2022
Hyderābād, Telangana, India
Cultural Fit Analysis
The candidate has experience across different roles (Data Analyst, QA/QC) and projects, demonstrating adaptability. The transition from QA/QC to Data Analyst roles, while showing initiative, also indicates a relatively recent focus on data analysis. The breadth of technical skills listed, including various ML algorithms, cloud platforms, and data tools, suggests a willingness to learn and engage with diverse technologies. However, the short tenure in the Data Analyst role (2 months) might raise questions about long-term commitment or stability, which could impact cultural fit in a team seeking sustained contributions.
Soft Skills & Operational Fit
The candidate's resume indicates experience in project management methodologies like Agile and Scrum, and tools like Jira, which suggests an understanding of operational workflows. The descriptions of working on sentiment analysis and outlet segmentation projects imply an ability to translate business problems into analytical solutions. However, without specific examples of collaboration or problem-solving in a team context, it's difficult to fully assess soft skills like teamwork or communication beyond what's written.