Summary
I am a data analytics professional with a strong interest in data science, algorithms, and applied machine learning. I enjoy turning complex data into meaningful insights using tools like Python, SQL, and cloud platforms. My approach is rooted in research, exploration, and practical implementation. I am curious, adaptable, and always eager to learn and contribute to impactful projects in fast-paced environments.
A data-driven professional with experience in developing intelligent systems and scalable full-stack applications.I’ve worked on AI-powered compliance automation, healthcare risk modeling, and global marketing platforms.My work bridges data science and software engineering, with a focus on impact, reliability, and performance.
Source: LinkedIn
OnAir Post: Mayank Grover
News
Mayank Grover got a new job at George Mason University as Research Assistant.
You can learn more about Mayank from his onAir post
About
Resume
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Experience
George Mason University — Research Assistant
May 2025 – Present | Fairfax, VA
- Researched privacy and ethical issues in healthcare robotics and AI systems.
- Developed a prototype for prompt injection defense in RAG pipelines.
- Studied deepfake detection methods and their social impact.
Precise Software Solutions — Data Scientist
Jan 2025 – May 2025 | Maryland, USA
- Built AI pipeline using CNN and OCR to flag underage-targeted vape ads.
- Deployed classification models with 87% precision for campaign compliance.
- Automated monitoring workflows using AWS Lambda, S3, and SageMaker.
Tata Consultancy Services — Data Scientist
Apr 2022 – Apr 2023 | India
- Led A/B testing and product funnel analysis, improving conversions by 9%.
- Developed data pipelines and marketing insights in Python and SQL.
Tata Consultancy Services — System Engineer
Aug 2021 – Apr 2022 | India
- Contributed to re-platforming a global marketing portfolio (20+ countries).
- Built full-stack features using Java (JDK11), Spring Boot, Angular (v14), MySQL.
- Used AWS CloudWatch, Jenkins, and Agile methods for deployment & collaboration.
Megasoft Solutions — Data Analyst
Jun 2019 – Aug 2019 | India
- Cleaned and visualized HR data to support retention and compliance.
- Built dashboards and uncovered attrition insights using Python and Excel.
Codec Networks — Data Scientist
Dec 2018 – Feb 2019 | India
- Built logistic regression model to predict high-risk patients (80% accuracy).
- Integrated claims data across sources to enhance clinical insights.
Source: Github
Education
George Mason University
Master of Science – MS Data Modeling/Warehousing and Database Administration 4.0
2023 – 2025
Maharaja Surajmal Institute Of Technology
Bachelor of Technology – BTech Information Technology 3.57
2017 – 2021
Source: Github
Skills
- Programming & Frameworks: Python, R, Java (JDK11), Spring Boot, Angular (v14), MySQL
- Data & Analytics: Pandas, NumPy, Scikit-learn, PyTorch, A/B Testing, Regression, Classification, Time Series
- Cloud Services, DevOps & Big Data: AWS (Lambda, S3, CloudWatch), Jenkins, Agile & Jira, Snowflake, BigQuery, Databricks, Spark
- Visualization & Tools: Tableau, Power BI, Excel (Pivot Tables, Power Query), Git, GitLab, Jupyter, VSCode, MLflow, DBT
- Certifications: AWS Cloud Foundations, Azure AI Fundamentals
Source: Github
Interests
- Human-centered AI
- Healthcare data systems
- LLM security
- Data storytelling
Source: Github
Contact
Web Links
Projects
Sentiment-Aware Price Forecasting with Fine-Tuned LLMs
Source: Github
- Fine-tuned FinBERT to classify sentiment from marketing headlines.
- Combined sentiment and ad spend data to enhance campaign ROI prediction.
- Simulated a RAG-style pipeline with external signals for price movement modeling.
Accidental Drug Overdose Analysis
Source: Github
- Performed EDA and regression modeling on overdose data in Connecticut.
- Predicted most likely substances based on demographics (MSE: 28.4).
Publication
PRoSec-HRI: A Systematic Review of Privacy and Security in Healthcare Robotics Interaction
Source: Github
Explored threat models and privacy-preserving methods for human-robot interaction.
