Senior AI/ML Data Scientist

Mayank Verma

***********@*****.*** +1-720-***-**** TYLER, TX https://www.linkedin.com/in/mayank-verma-a89093428 PROFESSIONAL SUMMARY

Senior Data Scientist with 12+ years of experience in machine learning, statistical modeling, and big data analytics. Expertise in Python, R, SQL, and Spark, with a strong track record of developing predictive models and data visualizations that drive business growth. Proven ability to collaborate with stakeholders and translate complex data into actionable insights. Seeking to leverage deep technical expertise to deliver data-driven solutions at ApexCare Talent Solutions. TECHNICAL SKILLS

Machine Learning & Statistics: Regression, Classification, Clustering, Time Series Forecasting, Hypothesis Testing, Bayesian Statistics, Ensemble Methods, Deep Learning, NLP, Recommender Systems Programming Languages: Python, R, SQL, Java, Scala, Bash Big Data Technologies: Apache Spark, Hadoop, Hive, Kafka, Airflow, Databricks, Snowflake, AWS EMR Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, ggplot2, D3.js, Plotly, Looker Data Modeling & Mining: Data Wrangling, Feature Engineering, Dimensional Modeling, ETL Pipelines, Data Cleaning, Pattern Discovery, Anomaly Detection, A/B Testing

Cloud & DevOps: AWS (S3, EC2, Lambda, SageMaker), Azure, GCP, Docker, Kubernetes, CI/CD, Git, Terraform EXPERIENCE

Sr AI/ML Engineer Amazon Seattle, WA Sep 2022 - Jul 2026 Full-Time

• Led the development of predictive models for demand forecasting, achieving a 15% reduction in inventory costs while improving forecast accuracy by 20%.

• Designed and implemented scalable data pipelines using Spark and Airflow, processing over 10 TB of daily data to support real-time analytics.

• Collaborated with cross-functional teams to identify business opportunities, translating complex data insights into actionable recommendations that drove a 12% increase in operational efficiency.

• Architected and deployed machine learning models on AWS SageMaker, reducing model inference time by 30% and enabling real-time personalization.

• Developed interactive Tableau dashboards to visualize key performance indicators, enabling stakeholders to monitor trends and make data-driven decisions.

• Mentored junior data scientists, conducting code reviews and promoting best practices in model development and data validation.

• Implemented rigorous data validation and testing frameworks, improving data quality and reducing data-related errors by 25%.

• Conducted A/B testing and statistical analysis to evaluate the impact of new features, resulting in a 10% increase in user engagement.

• Optimized SQL queries and data models, reducing data retrieval time by 40% and enhancing the performance of reporting systems.

• Stayed current with industry trends and emerging technologies, integrating new tools and techniques to continuously improve data science capabilities.

Sr AI/ML Engineer Quantiphi Marlborough, MA May 2020 - Sep 2022 Full-Time

• Developed and deployed machine learning models for customer churn prediction, achieving a 15% improvement in retention rates for a major telecom client.

• Engineered features from large-scale datasets using Python and Spark, enabling more accurate model training and reducing data processing time by 35%.

• Created Power BI dashboards to visualize model performance and business metrics, facilitating data-driven discussions with stakeholders.

• Collaborated with business stakeholders to identify opportunities for data-driven growth, leading to the development of a recommendation engine that increased cross-sell revenue by 18%.

• Implemented data quality checks and validation processes, ensuring high data integrity across multiple data sources.

• Optimized machine learning algorithms for production, reducing inference latency by 50% and enabling real-time decision-making.

• Conducted exploratory data analysis to uncover trends and patterns, providing actionable insights to guide business strategy.

• Worked with big data technologies including Hadoop and Spark to process and analyze terabytes of structured and unstructured data.

AI/Ml Engineer Infosys Dallas, TX Oct 2017 - Feb 2020 Full-Time

• Built and deployed predictive maintenance models for manufacturing clients, reducing equipment downtime by 20%.

• Utilized Python and SQL to preprocess and analyze data, supporting the development of machine learning models for various business use cases.

• Designed and implemented data visualizations using Tableau, enabling clients to monitor key metrics and identify trends.

• Collaborated with data engineers to ensure data quality and integrity through robust validation and testing procedures.

• Performed statistical analysis and hypothesis testing to validate model performance and drive continuous improvement.

• Automated data pipelines using Apache Airflow, reducing manual data processing efforts by 30%.

• Participated in client meetings to present findings and recommendations, effectively communicating complex technical concepts to non-technical audiences.

Data Scientist Infosys India Apr 2013 - Oct 2017 Full-Time

• Analyzed complex datasets to identify trends and patterns, providing insights that informed business decisions for global clients.

• Developed predictive models using regression and classification techniques, improving customer segmentation accuracy by 15%.

• Created data visualizations and reports to communicate findings to stakeholders, enhancing data-driven decision-making.

• Collaborated with cross-functional teams to understand business requirements and deliver tailored data science solutions.

• Performed data cleaning and preprocessing on large datasets, ensuring data quality and consistency.

• Utilized SQL for data extraction and manipulation, supporting ad-hoc analysis requests from various departments.

• Assisted in the development of data mining strategies to uncover actionable business insights. EDUCATION

University of Texas at Tyler Tyler, TX Aug 2017 - May 2019 Master's degree, Computer Science

Amity Business School India Jan 2008 - Dec 2012

Bachelor's degree, Information Technology

CERTIFICATIONS

• Certified Data Scientist Jun 2021

• AWS Certified Machine Learning – Specialty Mar 2020

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