Vikas Shukla
Seattle,WA
Overview
9
9
years of professional experience
Work History
Data Research Analyst (Contract)
Bayer
07.2023 - Current
- Engineered a predictive analytics model using Random forests to anticipate and mitigate delivery bottlenecks, achieving a 95% accuracy rate and enhancing overall delivery efficiency by 20%
- Launched a real-time anomaly detection system employing autoencoders, which allowed the rapid identification and resolution of discrepancies in the logistics chain, reducing overall operational hiccups
- Produced daily and weekly commercial reports using R, assisting in data-driven decision making
- Designed and deployed an RShiny application tailored for breeding data visualization and analysis
Software ML Engineer
Amazon
06.2022 - 04.2023
- Developed and deployed scalable ML models to optimize last mile delivery routes, reducing delivery time by 16%
- Collaborated with cross-functional teams to integrate predictive models into the existing infrastructure
- Led end-to-end implementation of a real-time anomaly detection system, promptly identifying and addressing delivery disruptions
- Created a robust testing and validation framework ensuring model accuracy and integrity post-deployment
- Implemented an A/B testing framework to assess the effectiveness and performance improvements brought about by new model iterations
- Utilized Random Forests and Gradient Boosting Machines to analyze and score driver behaviors, enhancing safety and efficiency
Data Scientist
Teave Tech LLC
09.2021 - 12.2021
- Conceptualized in Data transport, storage and cleansing techniques, microservice development, implementing Machine learning models and supporting deployment of a production SaaS platform
- Built a simulation model to improve demand planning for store replenishment
- Found 32% of error in the forecast by using XGBoost vs Rolling mean (Python stack)
- Set up Power BI dashboards to identify product features that correlated with customer attrition, leading to proactive interventions that reduced monthly churn by 4%
- Built data visualizations using SQL and Tableau for product KPIs that reduced manual reporting work by 8 hours weekly
- Developed ETL pipelines using Pyspark for processing large datasets on a cluster
Data Scientist
SGS Tekniks
11.2014 - 05.2018
- Analyzed sales figures, market research, logistics or transport data
- Converted data into actionable insights by predicting and modeling future outcomes
- Coming up with solutions to costly business problems
- Built prediction models for Probability of Purchase, predictive Order Date, Quantity of Purchase for SGS customers improving model's AUC by 10%, RMSE by 12% and RMSE by 5% respectively
- Consolidated vendors and created a volume advantage, resulted in a 12% overall reduction in marketing costs
- Utilized TensorFlow's high-level APIs, such as Keras, to streamline the model development process and improve productivity
- Conducted data preprocessing and feature engineering using TensorFlow's data manipulation and transformation functionalities
- Implemented a long-term pricing experiment that improved customer lifetime value by 32%
Education
Master of Science - Data Science & Management
The State University of New York
Bachelor of Technology - Electrical and Electronics Engineering
SRM University
Skills
- Technical: PowerBI, Spotfire, Tableau, JIRA, Agile development, GitHub, Leadership experience, Software Development Lifecycle, HEOR, Rest API, Beautiful Soup, BigQuery, PostgreSQL, Domino Data Lab, GIT, GITLAB, AWS, Microsoft Excel, Matlab
- Machine Learning: Regression, Classification, SVM, Decision tree, Random Forest, Naïve Bayes, Gradient Boosting, Computer Vision, Neural Network, Time Series, Statistics, Bayesian Statistics, Probabilistic modeling, Nonlinear Dynamics, Hierarchical models, A/B Testing, Python, R, Data Science, Statistics, SQL, ETL Pipeline, , Regression, Applied Mathematics, CI/CD, Probability, PySpark , Self-taught C studying in-depth intricacies on data structures
- Relevant Python & R Libraries: Pandas, Numpy, Matplotlib, Seaborn, sklearn, Word2Vec, Scikit, R Shiny, dplyr, ggplot2, caret, rmarkdown, tinytex, kableExtra, dplyr, datatable, tinytex
Timeline
Data Research Analyst (Contract)
Bayer
07.2023 - Current
Software ML Engineer
Amazon
06.2022 - 04.2023
Data Scientist
Teave Tech LLC
09.2021 - 12.2021
Data Scientist
SGS Tekniks
11.2014 - 05.2018
Master of Science - Data Science & Management
The State University of New York
Bachelor of Technology - Electrical and Electronics Engineering
SRM University
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