Venkat Vijay Gudapati
Data Scientist
Cary,NC
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex datasets with over 3 years of experience in analytics. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. Highly organized, motivated and diligent with significant background in marketing analytics.
Overview
3
3
years of professional experience
1
1
Certification
5
5
years of post-secondary education
Work History
Data Scientist
Amnet Digital
Hyderabad, India
10.2019 - 07.2022
- Collaborated cross-functionally with stakeholders, ensuring alignment on key initiatives and project goals.
- Compiled, cleaned and manipulated data for proper handling.
- Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
- Implemented advanced statistical techniques for accurate predictive modeling and forecasting of business metrics.
- Load and transformed data using scripting languages and tools such as Python, Flume, Sqoop, Linux Shell
- Enhanced data-driven decision making by implementing machine learning models and algorithms.
- Developed machine learning models to assist marketing and sales teams in targeting customers for marketing and sales campaigns.
- Modeled predictions with feature selection algorithms.
- Created and implemented new forecasting models to increase company productivity.
- Built company A/B testing frameworks to test model quality.
- Tested and validated models for accuracy of predictions in outcomes of interest.
- Coordinated with data visualization and data engineering teams in building dashboards for marketing team
- Predictions made by models for marketing teams had increased sales by 30% amounting to approximately $3 million for each product category.
- Good knowledge in relational and NoSQL databases like MySQL, SQL Server and MongoDB.
- Led client interactions and gathered requirements to revamp product listing view on webpage
- Classified each product into higher level groups to provide filters on webpage to narrow down to the product based on requirements of customers.
- This approach has reduced customer search time by 40%
- Developed Text and Tables extraction algorithm to extract tables form chemical safety documents
- It mainly involves text extraction and converting data into structured format
- This approach has reduced manual data entry effort by 80%
- Developed OCR tool fused with Image classifier based on CNN for extracting images from news articles
- Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
- Identified, measured and recommended improvement strategies for KPIs across business areas.
- Configured and managed source code using Git.
- Good presentation, Customer Support and troubleshooting skills.
Technical Support Analyst
DispatchTrack Software Pvt Ltd
Hyderabad, India
06.2018 - 01.2019
- Provided technical support and software integration services to clients
- Maintained JIRA for tracking and updating project defects and tasks.
- Supported in API testing and manual testing for web as well as mobile applications.
- Monitored systems in operation and quickly troubleshot errors.
- Offered remote support for cloud-based and web-based clients via phone, email, and chat.
- Broke down and evaluated user problems, using test scripts, personal expertise, and probing questions.
- Performed quality assurance and quality control assessments of support ticket fulfillment.
- Improved customer satisfaction by providing timely and accurate technical support to end-users.
Education
Master of Science - Data Science - Computer Science
08.2022 - 12.2023
- 3.65 GPA
- Relevant Coursework: Applied Machine Learning & Computer Security
- Capstone Project: "Data Mining Approach to Target Customers for Marketing Campaigns based on Customer Segmentation", The main aim of this project is to develop a comprehensive algorithm to group the customers into well defined groups and build a real-time predictive machine learning model to predict which group a customer might belong to, Using behavioral characteristics such as recency, frequency and monetary value. Which helps in designing marketing strategies relevant to the target audience which results in higher marketing campaign yield and customer retention.
Bachelor of Engineering - Biotechnology
06.2014 - 04.2018
- 8.31 GPA
- GITAM Center for Incubation and Entrepreneur Development Member.
- Extracurricular Activities: Worked as an associate in Vivaan, an Non-Profit Government Organization involved in helping the poor and the needy.
- Elected as Coordinator for NSS (National Service Scheme) Unit-VI
- Elected Captain of Cricket Team
Skills
- Programming Languages: Python, R
- Data Mining
- Statistical Analysis
- Machine Learning
- Time Series Forecasting
- SQL
- Data Visualization
- Natural Language Processing (NLP)
- Neural Networks
- Amazon Web Services (AWS)
Certification
Post Graduate Certificate in Big Data Analytics and Optimization, International School of Engineering (INSOFE) - 2019
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Florida State University (FSU) - Master of Science, Data Science - Computer Science
08.2022 - 12.2023
Data Scientist - Amnet Digital
10.2019 - 07.2022
Post Graduate Certificate in Big Data Analytics and Optimization, International School of Engineering (INSOFE) - 2019
07-2019
Technical Support Analyst - DispatchTrack Software Pvt Ltd
06.2018 - 01.2019
GITAM University - Bachelor of Engineering, Biotechnology
06.2014 - 04.2018