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Nischaya2004/README.md

Hi, I'm Nischaya Barotha

Applied Artificial Intelligence graduate based in Vilnius, Lithuania, focused on data analytics, business intelligence, technical problem-solving, and applied AI projects.

I build practical portfolio projects that connect Python, SQL, data cleaning, reporting, business operations, and machine learning concepts with real-world decision-making.

Current Focus

  • Data analytics with Python, SQL, pandas, and Power BI
  • Databricks lakehouse concepts: Bronze, Silver, Gold architecture
  • Business intelligence, KPI reporting, and dashboard-ready data models
  • CRM and revenue operations analytics using Google Analytics and HubSpot concepts
  • Finance/risk analytics using Python, statistics, and portfolio risk metrics
  • Applied AI and computer vision using OpenCV and machine learning

Featured Projects

Optical Obstacle Detection and Distance Estimation System with AI

Bachelor thesis project focused on robot-mounted optical sensing, computer vision, red laser segmentation, feature extraction, triangulation logic, and machine learning-based short-range distance estimation.

Tools: Python, OpenCV, Raspberry Pi, Camera Module 3 Wide, scikit-learn, pandas

Skills demonstrated: computer vision, image processing, feature extraction, experimental data collection, model evaluation, and technical documentation.

Retail Revenue Intelligence Lakehouse

Databricks project focused on transforming raw retail transaction data into cleaned and business-ready analytics tables using Bronze, Silver, and Gold architecture.

Tools: Databricks, PySpark, SQL, Delta Lake concepts

Skills demonstrated: data cleaning, data validation, lakehouse architecture, KPI tables, analytics engineering, and dashboard preparation.

Revenue Operations Intelligence System

In-progress project connecting Google Analytics-style web data with HubSpot-style CRM pipeline data to analyze lead quality, funnel conversion, pipeline health, channel attribution, and revenue performance.

Tools: Python, SQL, Power BI, Google Analytics concepts, HubSpot CRM concepts

Skills demonstrated: CRM analytics, funnel analysis, revenue attribution, star-schema modeling, and BI reporting.

Portfolio Risk & Market Intelligence System

In-progress finance analytics project focused on portfolio returns, volatility, drawdowns, Sharpe ratio, benchmark comparison, VaR/CVaR, and stress testing.

Tools: Python, pandas, SQL, Power BI or Streamlit

Skills demonstrated: financial data analysis, risk metrics, statistics, dashboarding, and business interpretation.

Technical Skills

Languages & Data: Python, SQL, pandas, NumPy, PySpark basics
BI & Analytics: Power BI, Google Analytics, HubSpot CRM, KPI reporting, dashboarding
Data Engineering: Databricks, Delta Lake concepts, Bronze/Silver/Gold architecture, ETL concepts
AI/ML: scikit-learn, machine learning, computer vision, OpenCV, feature extraction
Operations & Support: data quality, documentation, troubleshooting, process improvement, customer-focused problem solving
Tools: GitHub, Jupyter Notebook, Excel/Google Sheets

Certifications

  • Databricks Fundamentals Accreditation — Databricks
  • Google Analytics Certification — Google
  • HubSpot Sales Hub Software Certified — HubSpot Academy

Contact

LinkedIn: https://www.linkedin.com/in/nischaya-barotha-68152528b/
Portfolio: https://nischaya2004.github.io/

Popular repositories Loading

  1. Nischaya2004.github.io Nischaya2004.github.io Public

    Personal portfolio for Applied AI, data analytics, business intelligence, computer vision, and finance/risk analytics projects.

    CSS

  2. Nischaya2004 Nischaya2004 Public

    GitHub profile showcasing Applied AI, Data Analytics, Business Intelligence, Computer Vision and Finance Analytics projects.

  3. ai-obstacle-detection-distance-estimation ai-obstacle-detection-distance-estimation Public

    Computer vision and ML system for optical obstacle detection and short-range distance estimation using Raspberry Pi, OpenCV, red lasers, and feature extraction.