18/02/2026
As the holy month of Ramadan begins, may it be a time of deep reflection, spiritual growth, and answered prayers. May this blessed month be a time of soul cleansing and draw you closer to Allah (SWT).
RAMADAN MUBARAK!🌙✨
29/01/2026
Male tutor required for class 6 sharfabad near united king near dow university demo today at 5:00 pm whatsaap at 0336-8468248
27/01/2026
Male/Female tutor requirement
08/01/2026
On January 6, 2014, Aitzaz Hasan, a 15-year-old boy from Pakistan 🇵🇰, chose courage over fear — and saved 2,000 lives by giving his own.
When he saw a suspicious man approaching the school 🏫 gate, Aitzaz didn’t run away.
He ran towards him.
He held the su***de bomber đź’Ł so tightly that the explosion happened before the attacker could enter the school.
His family couldn’t even find all his body parts.
Later, his father said words that still break hearts:
“My son made his mother cry, but he saved thousands of mothers from crying for their children.”
Heroes don’t always wear uniforms.
Sometimes, they wear a school bag… and a heart full of bravery. 💔🕊️
01/01/2026
HIRING: DATA ENGINEER
Objective:
Seeking an experienced Python developer to complete and enhance a real-time sports prediction platform. The application uses API-Sports data to forecast "up/down" outcomes across the four major U.S. sports leagues: NBA, NFL, MLB, and NHL. The goal is to deliver a modern, data-driven, and visually polished desktop/web application with advanced predictive capabilities.
đź”§ Functional Modules
1. Data Integration
•Connect to API-Sports for real-time and historical data
• Normalize and store data across all four leagues
• Support player stats, team metrics, odds, and external conditions
• 2. Prediction Engine ( Already Working needs adjustment)
• Historical game data: win/loss records, point differentials, head-to-head, season phase
• Player metrics: injuries, fatigue, efficiency ratings (PER, WAR, QBR), lineup changes
• Team stats: offensive/defensive efficiency, turnover rates, special teams, bullpen, power play
• External conditions: weather, venue effects, travel schedules
• Market signals: betting odds, line movements, public vs sharp sentiment
• Forecasting models: logistic regression, Random Forest, XGBoost, LSTM/CNN, ensemble models
• Feature engineering: rolling averages, momentum indicators, normalized stats
• Monte Carlo simulation: thousands of outcome simulations, confidence intervals, calibration
• Validation & backtesting: cross-validation, ROC-AUC, simulated betting profitability
• Model Explainability (XAI): SHAP analysis to explain predictions (e.g., “Player injury: -5%”)
Pay: 40000-50000
Contact 03368468248
16/12/2025
Some stains don't wash out