Sharvari Khairnar
GHC23 Attendee|Data Analyst| Database Developer| Business Intelligence |Business Analyst | MS in Information Systems
- Role
- Data Analyst at Iconsult Collaborative At Syracuse University
- Location
- Syracuse, NY, US
- LinkedIn followers
- 500 followers
About Sharvari Khairnar
As a data analyst at iConsult Collaborative, I am passionate about understanding user needs and behavior through data and engaging in developing best practices for data analysis, transformation, and visualization. I have built dashboards using SQL and Power BI for business KPIs that reduced manual reporting by 9 hours weekly, aggregated unstructured data from 10+ sources for analyzing the job market and requirements, and designed, maintained, and automated ETL processing pipeline jobs using python for the recruiting team\'s data to improve overall performance by 20%. I am also a graduate student at Syracuse University School of Information Studies, pursuing a master\'s degree in information systems, with a focus on data science and analytics. I have a strong background in data engineering, with 3+ years of experience in building data-intensive applications and data warehouses using database technologies and scripting languages. I have led a database module for a project at Wipro Limited, where I worked with Oracle 12c and Oracle 19c SQL/PLSQL development, advanced PL/SQL, SQL Loader, packages, procedures, functions, triggers, data modeling, table partitioning, UNIX shell scripting, Python, and Control M scheduling. I have also participated in training on Python, Informatica Data Quality (IDQ), Tableau, and DevOps at Wipro. I am highly motivated to achieve the highest quality of insights and solutions to enable better decision making and business outcomes.
Experience
Data Analyst
Iconsult Collaborative At Syracuse University
Aug 2022 — Present · Syracuse, NY, US
Built Visualization using SQL and Power BI for Business KPIs that reduced manual reporting by 9 hours weekly. • Aggregated unstructured data from 10+ sources for analyzing the jobs available in the market and the job requirements. • Designed, maintained, and automated ETL processing pipeline job using python for recruiting team’s data to improve overall performance by 20%. • Collected, integrated, and analyzed monthly survey data with a co-relationship between qualification and requirement for the job available in the market and candidates\' qualifications using SQL, Python, and Excel.
Education
Savitribai Phule Pune University
Bachelor of Engineering - BE, Computer Engineering
2014 — 2018
Syracuse University School of Information Studies
Master of Science - MS, Information Systems
2022 — 2023
HPT Arts and RYK Science Jr. college
HSC
2012 — 2014
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