AISHWARYA AUTI
Summary
Detail-oriented, communicative, and highly motivated Big Data graduate with a proven result-driven track record in Salesforce CRM. Quick learner adept at new technologies. Seeking an internship opportunity as a Data Analyst to translate academic knowledge, hands-on skills, and passion for data analysis in a dynamic environment.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Senior Salesforce Administrator
Cornerstone Ondemand Inc.
09.2020 - 04.2022
- Worked closely with stakeholders to identify and address data-related challenges, offering actionable recommendations for continuous improvement.
- Served as DevOps Team Owner, collaborating on the establishment of a dedicated team to optimize organization deployment processes using Gearset and Leapwork for automated testing.
- Responsible for data management (insert, update) activities using a dataloader.
- Generation of data reports for management to assess third-party application budgets and renewals.
- Proactively engaged in documentation to oversee and record process modifications.
Senior Salesforce Administrator
Blackthorn.io
09.2019 - 05.2020
- Conducting comprehensive testing on new app functionality, meticulously identifying and documenting issues, validating implemented fixes, and performing thorough regression tests.
- Implemented data validation rules and conducted regular data audits to maintain data integrity within the Salesforce environment.
- Authoring bi-weekly release notes on readme.io, crafting product feature documentation, and conducting meticulous reviews of quality specifications and technical design documents to deliver timely and valuable feedback.
- Conducting customer onboarding calls, offering architectural assistance to clients, addressing technical queries, troubleshooting issues, locating software bugs, and collaborating closely with product teams to align with roadmaps and deliver features.
Solution Engineer
Screen Magic Mobile Media Pvt Ltd
07.2017 - 08.2019
- Utilized advanced Salesforce reporting tools to create customized dashboards, providing real-time visibility into key performance indicators for sales teams.
- Automated routine data tasks using Salesforce automation tools, reducing manual efforts and improving the accuracy of data captured and stored within Salesforce.
- Effectively addressing customer queries related to setup, configuration, and use-case implementation of SMS-Magic App through direct client engagement via phone and web meetings.
- Conducted training sessions for end-users on Salesforce functionalities, ensuring widespread adoption and proficiency among the team.
- Administrative tasks also included creation of profiles, roles, and users, designing page layouts, configuration of tasks and events, management of approvals, automation using workflow rules, process builders, and (visual) flows, development of custom formula fields, and reports and dashboard generation in Salesforce.
- Possess fundamental knowledge in APEX programming, which includes developing apex classes and triggers to enhance and automate Salesforce processes.
Education
Master's - Big Data Analytics And Information Technology
University of Central Missouri
Warrensburg, MO12-2024
B.E. - Computers
Pune University
07.2017
Skills
- Programming: Python(NumPy, Pandas), Java, SQL, Salesforce SOQL, Salesforce Apex
- Big Data technologies: Hadoop, Spark on AWS EMR, AWS Glue for ETL processes, AWS Kinesis for real-time data streaming
- Data Analytics and Visualization: Excel, Python Libraries (Matplotlib, Seaborn), Tableau, Quicksight (AWS), Athena (Querying Data in S3), Redshift (Data Warehouse)
Certification
- AWS (1x)
- Salesforce (7x)
Academic Projects
1. Diabetes Prediction with MLP
- Designed and implemented a Multilayer Perceptron (MLP) using Keras sequential model achieving ~80% accuracy in predicting diabetes onset. Conducted exploratory data analysis, addressing missing values, and standardizing data using pandas and scikit-learn. Evaluated performance using testing accuracy, confusion matrix, and ROC curve, emphasizing the significance of false negatives and false positives in diabetes prediction.
2. Forest Cover Prediction
- Implemented a Decision Tree classifier using PySpark to predict forest cover types. Conducted comprehensive data preprocessing, including handling categorical features and structuring the dataset for analysis. The model was trained on 90% of the data and evaluated on the remaining 10%, achieving an accuracy of approximately 70%.
Timeline
Senior Salesforce Administrator
Cornerstone Ondemand Inc.
09.2020 - 04.2022
Senior Salesforce Administrator
Blackthorn.io
09.2019 - 05.2020
Solution Engineer
Screen Magic Mobile Media Pvt Ltd
07.2017 - 08.2019
Master's - Big Data Analytics And Information Technology
University of Central Missouri
B.E. - Computers
Pune University