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anikaa20/README.md

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📊 Data is my playground. Business growth is the scorecard.

👨‍💻 About Me

"Patterns are easy to see in hindsight. The challenge is finding them in time."

My interests lie in the application of data analytics, statistical methods, and machine learning to complex business problems. My work spans the full analytical lifecycle, from data acquisition and preprocessing to the development of Business Intelligence systems that transform large-scale datasets into structured, decision-support frameworks.

Alongside analytics, I employ Machine Learning techniques and AI-driven automation to enhance workflow efficiency, surface meaningful signals, and enable data-informed decision-making at scale. The foundation of my approach is straightforward: robust analysis begins with reliable data, and meaningful insights emerge through systematic investigation rather than intuition alone.

Conference Papers:
  • Reliable Digital Marketing Through Click Through Rate Prediction using XGBoost Model
  • Academic Performance Evaluation of Students Using Decision Tree Model with Diverse Influential Features
I don't optimize for impressive backtests. I optimize for strategies that survive.

🔬 Core Expertise & Methodologies

📊 Quantitative Finance

  • Data Engineering for Analytics
  • Business Intelligence Architecture
  • Statistical Analysis & Hypothesis Testing
  • KPI & Performance Measurement Frameworks
  • Decision Support Systems

🤖 Machine Learning & AI

  • Predictive Modeling & Forecasting
  • Feature Engineering & Signal Extraction
  • Explainable AI (SHAP, LIME)
  • AI Agents & Workflow Automation
  • Statistical & Machine Learning Methods
🧰 Tech Stack

Python statsmodels PyTorch TensorFlow scikit-learn XGBoost LightGBM OpenAI NumPy SciPy Pandas Matplotlib Seaborn Windows Terminal Java C AWS Google Cloud Anaconda Apache Spark Apache Kafka Apache Hadoop FastAPI MySQL Keras
📊 GitHub Stats

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  1. Statistical-Analysis-of-Revenue-Across-Payment-Methods-- Statistical-Analysis-of-Revenue-Across-Payment-Methods-- Public

    A structured diagnostic of NYC yellow taxi trip data; Quantified $200K annual opportunity actionable through low-cost behavioral interventions

    Jupyter Notebook 1

  2. DataPilot--AI-Agent DataPilot--AI-Agent Public

    A terminal-first AI copilot that automates the mechanical groundwork of data science

    Python

  3. Maximizing-Revenue-through-Intent-Based-E-Commerce-Conversion-Optimization Maximizing-Revenue-through-Intent-Based-E-Commerce-Conversion-Optimization Public

    Shifting from Funnel-Centric to Intent-Centric Growth: A Precision Conversion Framework

    Jupyter Notebook 1

  4. NiftyNest-Smart-Portfolio-Analyzer NiftyNest-Smart-Portfolio-Analyzer Public

    A quantitative portfolio screening engine driving systematic equity allocation through live market data.

    Jupyter Notebook

  5. End-to-End-Medallion-Warehouse End-to-End-Medallion-Warehouse Public

    A SQL-driven Medallion data warehouse pipeline transforming raw CSVs into structured Star Schema.

    TSQL

  6. Global-Manufacturing-Network-Design-A-Stochastic-Optimization-Approach Global-Manufacturing-Network-Design-A-Stochastic-Optimization-Approach Public

    Robust supply chain footprint optimization using MILP and Python.

    Jupyter Notebook