Vaibhav Khandelwal
Data Scientist
London,SRY
Summary
Proactive Data Analyst with 4.5+ years product management experience in all sizes business environments. Effective driver of product development lifecycle from concept to delivery. Communicative and collaborative with proven history of improving business operations to support corporate growth and revenue. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Overview
6
6
years of professional experience
5
5
years of post-secondary education
Work History
Data Scientist
Allstate Northern Ireland (ANI), UK
London, ENG
10.2023 - Current
- Developed classification algorithm aimed at determining whether property should be recommended for insurance renewal, resulting in approximately $4 million in cost savings for company.
- Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to organization''s strategic goals.
- Optimized company resources allocation with detailed forecasting models based on historical data analysis.
- Established rigorous validation procedures for model accuracy assessment, ensuring the reliability of predictions generated by machine learning algorithms.
Data Scientist
Sony Europe
Weybridge, SRY
01.2023 - 01.2024
- Effectively deployed advanced machine learning and forecasting models, including hierarchical time series analysis and the Croston model, to generate precise predictions for future quarterly sales and inventory demands within the television and sound sector
- Successfully created a consolidated master dataset by retrieving data from multiple sources using PySpark and SQL on Databricks, implementing a cost optimization machine learning algorithm with MLFlow and Spark ML libraries
- Achieved a remarkable 30% budget savings through accurate forecasting of previously unavailable data
- Designed and implemented a highly efficient data governance workflow leveraging Collibra and REST API that led to a 95% reduction in the manual data quality approval process
- Developed an aspect-based sentiment analysis using BERT & GPT LLMs
- Utilized causal inference techniques to conduct deep dives into large complex customer behaviour data, resulting in actionable recommendations for improving sales and customer retention.
- Conducted thorough exploratory data analysis to identify essential variables for building robust models.
- Utilized version control tools like Git to manage codebase efficiently and collaborated with team members on shared projects.
Data Scientist Intern
Forsberg
06.2022 - 09.2022
- Engineered a cutting-edge ETL data pipeline using Azure cloud services, enabling anomaly detection on GNSS data with a modified Recursive Density Estimation (RDE) method and reducing jamming inspection points by 80%
- Developed an innovative statistical model to detect jamming, streamlining the anomaly detection process and decreasing time complexity by over 95%, resulting in expedited resolutions
- Crafted an insightful Tableau dashboard for analyzing points of jamming, delivering actionable business insights to key stakeholders, and enhancing decision-making capabilities.
Data Scientist
Infosys Pvt Ltd.
01.2018 - 09.2021
- Developed and executed machine learning algorithms to forecast future financial trends for taxation project consisting of 150 million businesses, resulting in accuracy rate of 87%
- Developed unsupervised cluster-based Outlier Analysis to detect fraudulent entities by analyzing clusters using supply-based ratios, considering business knowledge and silhouette method to determine optimal number of clusters, reducing false positives by 75%
- Demonstrated expertise in end-to-end modelling pipeline, leveraging Hive, SQL, PySpark, scikit-learn, and visualization tools like Tableau, matplotlib, and Plotly to extract, filter, model, and visualize data, uncovering actionable insights and patterns
- Translated stakeholder business problems into testable hypotheses for analysis through collaborative engagement.
- Mentored junior team members in best practices for data science methodologies, fostering culture of continuous improvement.
- Leveraged cloud-based platforms to manage big data storage while maintaining scalability and accessibility of information assets.
Education
Master of Science - Data Science
Lancaster University
Lancaster, United Kingdom 05.2021 - 05.2022
Bachelor of Science - Computer Science And Engineering
SRM Institute of Science And Technology
Chennai, India 05.2014 - 05.2018
Skills
Data Analytics
Data Visualization
Statistical Analysis
Quality Engineering and Testing
Business Support
Process Improvement
Software Development Understanding
Time Management and Prioritization
Data Security
Advanced analytics
Trend Data Analysis
Data Quality Assurance
ETL processes
Statistical modeling
Python Programming
Business Intelligence
NoSQL Databases
Machine Learning
SQL Expertise
Data Governance- Collibra
Projects
Face2Sketch and Sketch2Face, Built Auto-encoders and GANs using TensorFlow and Keras to convert human photographs to sketches and sketches to photographs (77% similarity coefficient). House Price Prediction in UK and Wales, Predicted real estate asset value using Deep Neural Networks that gave 15% more accurate results on the test data than the HPI-based model.
Timeline
Data Scientist
Allstate Northern Ireland (ANI), UK
10.2023 - Current
Data Scientist
Sony Europe
01.2023 - 01.2024
Data Scientist Intern
Forsberg
06.2022 - 09.2022
Master of Science - Data Science
Lancaster University
05.2021 - 05.2022
Data Scientist
Infosys Pvt Ltd.
01.2018 - 09.2021
Bachelor of Science - Computer Science And Engineering
SRM Institute of Science And Technology
05.2014 - 05.2018