Archana Kokate

Motivated Data Scientist with over 4 years of experience and recent Master's and PG degree in Data Science. Seeking an entry-level role to utilize expertise in Data Analysis, Machine Learning, and Statistical Modeling. Possesses strong analytical skills and a passion for deriving valuable insights from intricate datasets. Committed to delivering data-driven solutions that foster business growth and improve decision-making.

Accenture Data Analytics and Visualization Virtual Experience

1) Diabetes Prediction

The project involves building a diabetes prediction model based on diagnostic measurements. Conducted Descriptive Analysis, implemented various Classification algorithms and created a comprehensive classification report. Additionally, a visually appealing Tableau dashboard was developed.

2) Mercedes-Benz Greener Manufacturing

This project aims to optimize testing time for different car configuration. Implemented Data Preprocessing techniques, Dimensionality Reduction, Label Encoding and utilized XGBoost to predict testing durations.

3) Digicomp Sales Analysis (Tableau Project)

Created an interactive Sales Dashboard for DigiComp, a global enterprise that manufactures clothing materials. Consolidating data from multiple sources, the dashboard provided real-time insights, identified inefficiencies and empowered better sales decisions.

4) Movielens Case Study

Conducted Exploratory Data Analysis on Movielens dataset, building a predictive model using Decision Tree, Random Forest and XGBoost. Engineered features and identified factors influencing movie ratings. Leveraged Data Analysis and Machine Learning to drive valuable recommendations.

5) Comparison of Region Based on Sales (Tableau Project)

Created a dynamic Tableau Dashboard to visualize and compare sales data between two regions for a leading organization using the Sample Superstore dataset. The dashboard included key metrics and facilitated ad-hoc analysis and reporting.

6) Cardiovascular Disease Prediction

The project aimed to predict Cardiovascular Disease by identifying key risk factors associated with heart attacks and developing an effective predictive system. This showcased my expertise in Data Exploration, Data Visualization, Statistical Analysis and Machine Learning for Health Predictions.

7) 311 NYC Customer Request Analysis

The project focused on analyzing customer service requests and complaints in New York City using 311 calls data, aiming to apply Data Science skills and gain experience in Data Wrangling, Exploratory Analysis and Data Visualization techniques.

• Recognized with the following certificates and awards at Wipro:

6 Star Service award for excellent customer service.

"Pat on the Back" Certificate for best performance.

Certificate of Appreciation for outstanding performance.

Several appreciations from Onsite clients via emails for excellent customer service

• Received spot reward for excellence at eClerx Services.
• Developed comprehensive process maps, Standard Operating Procedures (SOPs) and executed Failure Mode and Effects Analysis (FMEA) to optimize the Process which increased the quality score by 15%