about_me:
name: B. Sunil Kumar Reddy
role: Data Analyst | BI Developer
located_in: Madhapur, Hyderabad, Telangana, India
availability: Immediate Joiner
open_to: Remote & Relocation
2025_goal: Secure my dream role as a Data Analyst
hobbies:
- Travelling
- Cooking
- Playing games
currently_learning:
- Hadoop
- Hive
- Spark
- AWS
- Azure
- Google Cloud (GCP)
technical_background:
- Python
- Pandas
- MySQL
- MS Excel
- Power BI
- Git
- GitHub
- Jupyter Notebook
fields_of_interest:
- Data Analysis
- Data Engineering
- Data Science
- Machine Learning
education:
- institution: HIMALAYAN GARHWAL UNIVERSITY
location: Uttarakhand, India
period: May 2019 β Aug 2021
degree: Bachelor of Computer Application
cgpa: 7.55/10
relevant_coursework:
- Data Analysis & Visualization
- Forecasting Techniques
- Statistical Methods
- Project Management
- Team-Based Analytics
- Analytical Writing
- Business Data Apps
- institution: NARAYANA JUNIOR COLLEGE
location: Kadapa, Andhra Pradesh, India
period: Aug 2016 β Jun 2018
degree: Intermediate (MPC)
score: 678/1000
core_subjects:
- Mathematics
- Physics
- Chemistry
- name: Cryptocurrency Market Intelligence Dashboard
description: Real-time dashboard for crypto market trends, volatility, and performance using CoinGecko API
tech_stack:
- Python
- Pandas
- MySQL
- Power BI
KPIs:
- Real-Time Price & Market Cap
- 24H Trading Volume
- Price Volatility Index
- Market Dominance %
- Top Gainers & Losers (24H)
repo: https://github.com/Sunil5411/crypto-market-intelligence-dashboard
- name: Retail Price Optimization Dashboard
description: Price elasticity, discount modeling, and revenue forecasting for strategic retail pricing
tech_stack:
- Python
- Pandas
- Excel
- Power BI
KPIs:
- Price Elasticity by Product
- Discount Impact on Sales
- Revenue Forecast from Price Simulation
- Elastic vs Inelastic Item Classification
- Optimal Pricing Recommendations
repo: https://github.com/Sunil5411/retail-price-optimization-dashboard
- name: EV Charging Utilization Dashboard
description: Geo-based EV station usage monitoring with demand zones and idle/load detection
tech_stack:
- Python
- GeoPandas
- Power BI
KPIs:
- Station Utilization %
- Peak Demand Hours by Region
- Idle Station Detection
- Overloaded Station Alerts
- Location-Wise Deployment Suggestions
repo: https://github.com/Sunil5411/ev-charging-utilization-dashboard
- name: Farm Input Price Volatility Analysis & Forecasting
description: Forecasting fertilizer, diesel, and seed price swings across Indian states
tech_stack:
- Python
- Time Series Forecasting (ARIMA, Prophet)
- Power BI
- MySQL
KPIs:
- Input Price Volatility Index (IPVI)
- Forecast Accuracy Score
- Early Price Spike Alert Lead Time
- State-wise Seasonal Price Deviation %
- Savings Potential from Forecast Adoption
repo: https://github.com/Sunil5411/Farm-Input-Price-Volatility---Forecasting
- name: 𧬠Human Longevity Index (HLI)
description: API-powered global index ranking countries by human longevity factors β real-time health, sanitation, and inequality insights from World Bank data
tech_stack:
- Python 3.11
- pandas
- matplotlib
- seaborn
- plotly
- Power BI
KPIs:
- Longevity Impact Score (LIS)
- Policy Risk Index (PRI)
- Health Inequality Gap %
- Clean Life Years (CLY)
- Income vs Health ROI
repo: https://github.com/Sunil5411/Human-Longevity-Index--HLI-
languages:
- Python
- SQL
- DAX
data_tools:
- Power BI
- MySQL
- MS Excel
- Jupyter Notebook
- Pandas
- NumPy
version_control:
- Git
- GitHub
cloud_learning:
- AWS
- Azure
- Google Cloud (GCP)
soft_skills:
- Problem Solving
- Communication
- Team Collaboration
- Business Thinking