Highly analytical Data Science Specialist with a Post Graduate Diploma in Statistical Methods & Analytics, bringing expertise in developing and deploying AI/ML models for predictive analytics, classification, and NLP tasks. Proven ability to leverage Python, SQL, and Google Cloud Platform (GCP) to automate data workflows, streamline operations, and deliver data-driven insights that enhance decision-making and solve complex business problems. Passionate about transforming raw data into actionable intelligence to drive significant operational efficiencies and strategic outcomes.
Data Analyst
Gurugram, Haryana, India
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Summary
As a Data Analyst at BluParrot Ventures Pvt. Ltd., collaborated with cross-functional teams to identify complex business problems and design AI-driven automation solutions aligned with specific client needs.
Highlights
Developed and fine-tuned machine learning models in Python for predictive analytics, classification, and Natural Language Processing (NLP) tasks, significantly improving operational efficiency across diverse client engagements.
Automated end-to-end data workflows for model training, evaluation, and deployment, establishing scalable and repeatable processes that enhanced efficiency and reduced manual intervention.
Leveraged expertise in SQL, Power BI, and Excel to perform comprehensive data analysis and build interactive dashboards, providing critical insights for strategic decision-making and client reporting.
Contributed to the full lifecycle of AI solution development, from data acquisition and preprocessing to model deployment and monitoring, ensuring robust and reliable system performance.
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Post Graduate Diploma
Statistical Methods & Analytics
Grade: 71.4%
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Master
Electronics and Communication Technology
Grade: 73.8%
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Bachelor
Physics
Grade: 80.5%
Native
Native
Native
Issued By
Udemy
Python (Pandas, NumPy, scikit-learn, Seaborn, Matplotlib, Scikit-Learn), SQL (Joins, CTEs, Window Functions), Git, Jupyter Notebooks.
Data wrangling, Handling missing values, Outlier treatment, Categorical encoding, Scaling, Pipeline automation.
Supervised learning (classification & regression), Ensemble models (Random Forest, XGBoost), Model evaluation (ROC-AUC, F1-score), Cross-validation, Hyperparameter tuning.
Text preprocessing, TF-IDF, Text classification, Sentiment analysis, Keyword extraction, Basic topic modeling.
Seaborn, Matplotlib, Power BI, Excel dashboards, PowerPoint.
Google Cloud Platform (BigQuery, Vertex AI), Google Sheets, VS Code, RAG, Vector databases (Pinecone, FAISS), Hugging Face, LLM.
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Summary
Created a multi-modal predictive model using LightGBM to accurately estimate UK house prices by integrating text, image, and structured data, identifying regional pricing trends and valuation discrepancies.
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Summary
Designed and implemented an AI-powered insights dashboard for Relationship Managers at an insurance company, leveraging Vertex AI and Gemini for real-time, AI-curated intelligence and streamlined decision-making.
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Summary
Conducted a comprehensive customer churn analysis for the telecom industry using Python Pandas, developing and deploying machine learning models that achieved 89% predictive accuracy.
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Summary
Developed and deployed an AI-powered legal tech solution automating case summarization, contract drafting, and research through advanced NLP techniques, significantly streamlining legal document processing.