Sai Sirisha Pyarasani
Vice President at Data Analytics Engineering Student Organization, Northeastern University- Claim this Profile
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Telugu Native or bilingual proficiency
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English Full professional proficiency
Topline Score
Bio
Credentials
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AWS data analytics fundamentals
Amazon Web Services (AWS)May, 2020- Nov, 2024 -
The Complete SQL Bootcamp
UdemyMay, 2020- Nov, 2024 -
SQL
TestDomeMar, 2020- Nov, 2024 -
Data Scientist in Python
Dataquest.io
Experience
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Data Analytics Engineering Student Organization, Northeastern University
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United States
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Education Management
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1 - 100 Employee
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Vice President
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Nov 2020 - Present
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Northeastern University
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United States
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Higher Education
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700 & Above Employee
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RSO Proctor
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Aug 2020 - May 2021
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BalletRox
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United States
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Performing Arts
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Data Analyst
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Jan 2021 - Apr 2021
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KPMG
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Canada
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Accounting
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700 & Above Employee
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KPMG Data Analytics Virtual Internship
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Jun 2020 - Jul 2020
• Identified data quality issues and provided strategies to client to mitigate issues.• Presented Sprocket Central Pty Ltd to target high value customers after performing data exploration and statistical testing.• Developed a Tableau dashboard showing data summary that helps in optimizing company’s marketing strategy.
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ANZ
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Australia
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Banking
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700 & Above Employee
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ANZ Virtual Internship
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May 2020 - Jun 2020
• Performed Exploratory Data Analysis using Tableau on a synthesized transaction dataset containing three months’ worth of transactions for 100 hypothetical customers.• Processed data cleaning and feature engineering to improve data quality.• Explored correlations between various input parameters and built a linear regression model, decision tree model in Python to predict annual salary of customers.
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Infrastructure Leasing & Financial Services Limited
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India
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Construction
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1 - 100 Employee
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Data Analyst
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Jun 2018 - Oct 2018
Designed R codes to scrape contents from social media, wrote SQL queries and applied Python modules to analyze language for monitoring clients' ongoing digital campaigns as experimental projects. Developed and documented SOPS for the processes for future use.Developed predictive models based on logistic regression and data mining techniques to forecast conversions, clicks, and impressions, improving prediction accuracy by 50%; conducted ad performance projection and recommended on budget allocation.
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Education
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Northeastern University
Master of Science - MS, Data analytics engineering -
Chaitanya Bharathi Institute Of Technology
Bachelor of Engineering - BE, Electronics and Communication Engineering