AAKANSHA NEEMA
Indore,MP
Summary
Data Analyst with nearly 5 years of experience, specializing in architecting and building tactical Data Science and BI Solutions. Effectively planned and organized the Women in Data Science Silicon Valley Conference 2022 with 10 Committee members. Led and mentored a team of 4 Junior Data Scientists and partnered with 4 external Cloud Teams - Amazon, Google, Azure, and Alibaba to pilot the Multi-Cloud projects. Improvised SAP Data Custodian solution by 86% using an anomaly detection method
Overview
6
6
years of professional experience
Work History
Data Analyst
Xcede
09.2023 - 12.2023
- Generated ad-hoc reports to evaluate specific business requirements for healthcare sustainability project
- Created Excel documents and used SQL queries to assist with pulling health data
- Utilized Power BI data visualization tools to communicate business insights effectively, which showed plastic, carbon, and oil usage reduction by 20%
Senior Data Scientist
SAP
01.2021 - 04.2023
- Reduced the carbon emission production by 27% and strengthened the selection of cloud tools by evaluating the production
- Spearheaded the cloud cost project and built visualizations using SAP Analytics Cloud that shows cloud usage is increasing every year by 13%
- Optimized the cloud cost by 38% and presented the final model to the client
- Created latency data dashboard, which boosted the network traffic by 30%
- Presented Cloud Sustainability Project at Women in Data Science Silicon Valley conference 2022, attended by 3000+ people.
Data Scientist
SAP
07.2020 - 12.2020
- Collaborated with the Strategic Customer Engagement Team to interact with clients, understand business processes, and translate needs into mathematical models
- Maintained an accuracy of 96.5% on a test dataset of 2K documents and created a CNN model utilizing business OCR that can automate the classification of scanned documents; an NLP-based text classifier was trained on a dataset of 12k documents
- Developed a sales forecasting model on sparse data using Light Gradient Boosting Regressor and custom-engineered feature.
Data Scientist
SAP
01.2020 - 06.2020
- Represented as Data Scientist in a Multi-Cloud team of SAP and resolved different use cases using Machine Learning
- Evaluated Logistic Regression Model on Cloud VPN Network Data of sample size 1 million and achieved 92% accuracy in detection of VPN
- Implemented tensor flow for creating neural networks and tensor flow board for data visualization.
Data Analyst Intern
Ernst & Young (EY)
01.2019 - 05.2019
- Liaised with SMEs of the Tax Technology and Transformation Team to understand client's data-driven strategies & business problem
- Consolidated tax data for clients and eliminated discrepancies by 95% using SQL and Python
- Customized the tax data for 10 clients.
Research Assistant
Cox School of Business, Southern Methodist University
08.2017 - 12.2018
- Delivered presentations on statistical techniques and SQL query optimization & reporting
- Conducted weekly TA sessions for 120+ students to master the fundamental of statistics
- Designed & customized courses like data mining, programming for analytics in R and Python, social and web analytics, and statistics for batches of 120
- Resolved 50 student's issues in the cleaning of data in R and Python and trained in machine learning models.
Education
Master of Science - Engineering Management
Lyle School of Engineering, Southern Methodist University
Dallas, Texas, USA05.2019
Bachelor of Science - Computer Science
Rajiv Gandhi Proudyogiki, Vishwavidyalaya University
Indore, India05.2017
Skills
- SQL
- Stata
- Statistics
- Power BI
- Tableau
- Python
- R
- Git
- Agile Methodology
- Scrum
- Trello
- JIRA
- Asana
- SDLC
- SAP Analytics Cloud
- Project Management
- SAP Data Warehouse
- Machine Learning
- Google Analytics
Projects
Drafted 10 years of Christmas tickets and donations data to determine the following year's profits & sales. Sales increased by 21%. Implemented linear regression to find the no. of tickets sold each year and visualize causality through Tableau.
Timeline
Data Analyst
Xcede
09.2023 - 12.2023
Senior Data Scientist
SAP
01.2021 - 04.2023
Data Scientist
SAP
07.2020 - 12.2020
Data Scientist
SAP
01.2020 - 06.2020
Data Analyst Intern
Ernst & Young (EY)
01.2019 - 05.2019
Research Assistant
Cox School of Business, Southern Methodist University
08.2017 - 12.2018
Master of Science - Engineering Management
Lyle School of Engineering, Southern Methodist University
Bachelor of Science - Computer Science
Rajiv Gandhi Proudyogiki, Vishwavidyalaya University
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