
Aakanksha believes in excelling in areas of work expertise (Finance & Data scientist) She believe in continuous learning & likes to work with people from various cultures & backgrounds. She looks forward to working with an organization which can utilize her skills in the best possible way & also gives her scope to learn and develop her professional skills(OCOGS reporting, NPI costing, Standard Costing, Financial Reporting, Machine learning, Python for Data science, Tableau, Alteryx, SQL, etc.) She has worked as a “Finance Specialist” in Honeywell & currently have 6.5 years of experience (Relevant Experience in Deloitte 4.10 years) worked in 8 global projects and 1 internal projects and 2 Firm Initiatives (overall 8 projects), where her core area of work was Costing & currently, she has completed PGDSBA (Post Graduation in Data science in Business Analytics) from Great Lakes Executive Learning & University of Texas at Austin .She has worked with Medifast Inc (23 Aug 2021 to 31 Dec 2021) as a Tableau developer with strategy and analytics team in Deloitte USI. She has worked with Ford Motor Company as an Alteryx Developer (14 Feb 2022- 12 Aug 2022). Google LLC, (16 August 2022-15 March 2023) as SQL developer. CVS Health Corporation. (Apr 2023- June 2023). She worked with DAS_ITS_Run_CBO_CTO (July 2023–August 2024) (financial project) as a tableau developer. She did 4 PROD deployments singlehandedly, helped in tableau server migration and updated 62 dashboards connections, provided access to 80 plus users. She created multiple iframe links for embedding the dashboard on the website. She worked on multiple dashboards, enhancements, and provided KT to the entire team for further testing. Currently She is working with Ford Motor Company as a power bi developer (August 2025 till Present). She did multiple PROD deployments, got an applause award for making complex paginated reports, bug fixing, testing, giving client demos. She is working in a migration project SAP business object to Power BI.
Alteryx Developer
Tableau Developer
Machine Learning: Classification, Regression-Means Clustering, Text Mining Analytics, Support Vector Machine-K Nearest Neighbor-Naïve Bayes, Ensemble Techniques, Logistic Regression -Linear Discriminant Analysis
Statistical Methods: Predictive Analysis, Hypothesis, ANOVA, PCA, EDA, Text Analytics, Descriptive Statistics, Probability Distributions, Estimation, Hypothesis Testing
Python for Data Science: Python Functions, Data Interpretation
Programming Languages, Python, SQL
Predictive Modeling: Linear Regression, Logistic Regression, Linear Discriminant Analysis
Data Mining: Clustering, CART, Random Forest, Artificial Neural Networks
Data Reporting Tool: Tableau, Alteryx, Power BI, Report Builder
NPI Costing
OCOGS Reporting
Month-end Processing
Financial Reporting
Liaison and Co-ordination
Cross-functional Coordination
Finance & Accounts