Why aren’t there more women in data science?
Exploring the diversity gap in the tech industry and data fields.
Read ArticleData Scientist | Business Analyst | AI Specialist
Turning complex datasets into actionable business strategies. I help organizations optimize operations and drive growth through predictive modeling, interactive dashboards, and advanced data workflows.
As a Data Science professional with an extensive academic background, including my Master of Data Science studies, I specialize in bridging the gap between raw data and executive decision-making.
Beyond traditional machine learning and exploratory data analysis (EDA), I have a keen focus on emergent technologies, including Generative AI, Retrieval-Augmented Generation (RAG), and Cloud Infrastructure (Azure). Whether it's segmenting customer behavior for marketing optimization or building end-to-end predictive pipelines, I deliver robust, scalable solutions.
Building custom machine learning models (classification, regression, forecasting) to predict customer churn, sales trends, and risk management.
Cleaning, transforming, and automating complex datasets from varied sources (APIs, SQL, CSVs) into analysis-ready formats.
Designing dynamic, stakeholder-friendly visualizations using Tableau and Python to track KPIs and track business performance.
Multimodal AI-powered e-commerce bot on Azure using OpenAI (GPT), CLU, and AI Search (RAG).
AI-powered chatbot built with Azure Cognitive Services Language Studio for domain-specific Q&A.
Computer vision pipeline for object detection and tracking using Azure Image Analysis API and OpenCV.
Interactive Streamlit application predicting real estate prices using Random Forest and XGBoost.
Predicts company default risk and analyzes market volatility using machine learning and financial metrics.
Analyzed car sales & customer patterns to derive actionable business strategies and targeted marketing segments.
Clustered customers using K-Means & Hierarchical models for targeted marketing and product optimization.
Built predictive models using Logistic Regression, KNN, and Decision Trees to forecast hotel booking cancellations.
Applied ANOVA, Chi-Square & Hypothesis Testing to extract key marketing insights and evaluate portal effectiveness.
End-to-end big data pipeline on 500K+ reviews using PySpark, NLP, and ALS Recommendation System.
Ensemble ML model predicting U.S. visa outcomes using applicant and employer attributes.
Analyzed purchase patterns and menu optimization using Python (EDA) and KNIME analytics.
Linear programming models in R for resource allocation and zero-sum strategic decision-making.
Time-series analysis and forecasting for ABC Estate Wines using ARIMA and decomposition methods.
Capstone project predicting match outcomes for the Indian cricket team using historical data.
Predictive modelling of appliance energy consumption using advanced aggregation functions in R.
Interactive Tableau dashboard analyzing car insurance claim patterns, risk trends, and regional demographics.
Visual analytics dashboard tracking player performance metrics, wages, and team statistics.
Six end-to-end projects showcasing expertise in clustering, classification, and regression.
Consolidated repository showcasing advanced data wrangling, text mining, and statistical modeling.
Collection of Python problems covering DSA, string manipulation, and data science simulations.
Exploring the diversity gap in the tech industry and data fields.
Read ArticleUsing data for social good and impactful decision making.
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