VEENA BS
Bangalore
Summary
Data scientist with 5 years of experience in statistical analysis, machine learning. Also, a data analyst with 2 ears of experience in data cleaning, modelling, and reporting. Skilled in Python. Experienced in developing predictive models, communicating insights to stakeholders. Proficient in using data to drive business decisions and improve operational efficiency.
Overview
7
7
years of professional experience
Work History
Data Scientist
Ernst and Young
Bangalore
07.2022 - Current
- Developing a chatbot for supply chain management using the GPT-430 2K model to provide insights about net amounts spent on different locations, vendors, and categories.
- Developed an automation tool that utilizes intelligent sampling and statistical techniques to procure the necessary engagements.
- Engaged in TAT (Turnaround Time) prediction to assess current performance levels against predefined benchmarks for each tree bucket size and 3-bucket configuration. Revisiting the potential for more ambitious targets, a prediction model was developed to provide insights and recommendations based on respective tree bucket sizes.
- Develop a Python solution to forecast future month Foreign Independent Confirmations (FC) and utilize the predictions for resource planning purpose
Data Scientist
Accenture
Bangalore
04.2018 - 07.2022
- Forecasting call volume enables improved production planning and facilitates budgeting by anticipating expenses for the upcoming period.
- Develop a comprehensive data infrastructure, visualization framework, and interactive dashboard to effectively convey insights and strategic information to executives and stakeholders, enabling informed decision-making and alignment with organizational goals.
- Conducted exploratory data analysis (EDA) on a diverse set of datasets to uncover patterns, trends, and relationships, facilitating a deeper understanding of the underlying data characteristics and informing subsequent analytical strategies.
Data Analyst
Wipro
Bangalore
11.2016 - 03.2020
- The objective is to forecast the completion of reports based on detector specifications including confusion, no-projection, directionality, and defect, categorized by case status (wiseS or no case) and segmented by city.
- Fixing the problem entails identifying and implementing the necessary adjustments to address the factors that are currently impacting the throughput of the system.
- Factors considered to be causing the problem, detector wise, linking city wise links, policy, change, evidence, conflict, shift, change and more.
- Performed ED analysis and different set of data.
Education
Bachelor of Engineering - Electrical, Electronics And Communications Engineering
VTU
Bangalore06-2015
Skills
- Statistical Analysis
- Intelligence Gathering
- Data Mining
- Business Forecasting
- Machine Learning
- Python Programming
- Time-Series Analysis
- Deep Learning
- Data Validation
- Basic R-Programing
Languages
Kannada, Hindi
First Language
English
Upper Intermediate (B2)
B2
Timeline
Data Scientist
Ernst and Young
07.2022 - Current
Data Scientist
Accenture
04.2018 - 07.2022
Data Analyst
Wipro
11.2016 - 03.2020
Bachelor of Engineering - Electrical, Electronics And Communications Engineering
VTU