Aishwary Gawande
Highly enthusiastic analytics professional with 7 months of experience with
multiple stakeholders from retail and education industry. Sourcing business with core proficiency in Machine learning, Data engineering & BI. Hold’s a Master's degree in IT Analytics & a professional AWS cloud certification. Technologies
Techniques
Git
Azure
AWS
Google Cloud
Experience
• Research Assistant Analyst (Rutgers University, NJ) (Feb 2021 - Present)
- Automated ETL process by raw data ingestion from flat files, HTTP using control flow activities, parameters and variables with Scheduled Triggers
- Used Data flow, HdInsight in Azure for transformation thus creating production ready pipelines.
- Queried database using advanced SQL queries in SQL Server Management Studio
(SSMS) to validate the data loaded into target tables
- Designed and maintain Tableau dashboard which analyzes the impact of COVID-19 globally, using the calculated metrics and parameters
- Made extensive use of advance analysis actions, container swap, parameters and calculations to eliminate the use of hardcoding and the manual sorting
• Operation Research Analyst (SportsId, GA) (June2020 - Aug2020)
- Created an analytics framework to address customer attrition problem that helped to identify customers were at the risk of churning out of their system
- Recommended products with market-basket analysis techniques which lead to increase in sales by 17%
- Implemented complex procedures in SQL to create data models and increase the efficiency of dashboards by 65%
- Developed the Data Visualization in Tableau to provide visual insights for business ******@*******.***
New Jersey, Harrison, USA
https://www.linkedin.com/in/agawande2210/
SQL
Python
Linux
Tableau
C
R
Excel
Docker
Power BI
C++
Linear
Regression
Clustering
KNN
Ridge
Lasso
Naive Bayes
SVM
Random
forest
XGBoost
Logistic
Regression
K-means
K-modes
Hierarchical
DBSCAN
RNN
Hypothesis
testing
Time series
NLP
Certifications
AWS CCP/CLF C-01
Tableau Desktop Specialist
Python for Data Science
Intermediate SQL
Platforms
Academic Projects (Source code @http://github.com/aishwary2210)
• Querying Employee Database
- Performed Data Modeling by inspecting the flat files and creating the ERD of the table.
- Created Table Schema for each of the flat files. Specified data types, foreign key, primary key and other constraints.
- Performed Data Analysis using joins, CTE’s and windows functions on employee database
• US-Mexico Border Crossing Trend
- Analyzed highly complex time series data and applied ARIMA, Holts Linear/Winter Additive, Multiplicative, Naive, Seasonal Naive, Average & Drift Data modeling techniques
- Evaluated the models on the basis of ME, RMSE, MAE, MPE, MAPE, MASE tests. Holt’s Winter Multiplicative was concluded as best model
• Suicide Analysis
- Performed PCA on the countries with variables population, gdp_per_capita, suicide to study its effects in 1986 and 2015 and Analysis of One way variance (ANOVA) for other variables
- Achieved model accuracy with Multiple Linear Regression giving R-square 0.91
• Music Recommender System
- Performed descriptive and diagnostic analysis using the data fetched from the Spotify API and performed data preprocessing
- Applied Principal Component Analysis (PCA)to reduce the dimensionality to avoid features giving the redundant value & to avoid overfitting the model
- Compared the models accuracy with Logistic Regression, Gaussian Naïve Bayes, Decision Tree, KNN & achieved the best accuracy of 89% with Random Forest Classifier
• Project Management
- Designed detailed project charter defining project goals, governance structure, budgets, risk and stakeholder management
- Prepared and implemented the Word Break Down Structure (WBS) and Gantt chart for controlled and monitor scope of work
Education
Rutgers University
(MS in IT& Analytics) (3.78/4.00)
Coursework :
- Analytics Business Intelligence
- Statistics & Machine Learning
- Management Innovation Tech
- Business Data Management
- Software Development
- Business Forecasting
- Project Management
- Multivariate Analysis
- Business Analytics