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║ S H A J I T H J ║
║ ── turning raw data into real decisions ── ║
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class AhamedShajith:
def __init__(self):
self.name = "Ahamed Shajith J"
self.role = "Data Analyst"
self.location = "Bengaluru, Karnataka 🇮🇳"
self.email = "ahamedshajith.j@gmail.com"
self.education = "B.E. Computer Science — SCAD College of Engineering"
self.open_to = ["Full-time Roles", "Internships", "Freelance Projects"]
def tech_stack(self):
return {
"Languages" : ["Python 🐍", "SQL 🗃️"],
"Libraries" : ["Pandas", "NumPy", "Matplotlib", "Seaborn"],
"BI Tools" : ["Power BI 📊", "Excel"],
"Databases" : ["MySQL", "PostgreSQL"],
"Environment" : ["Jupyter Notebook", "VS Code", "Google Colab"],
"Version Ctrl": ["Git", "GitHub"],
}
def superpower(self):
return "Turning messy datasets into decisions that move the needle 📈"
me = AhamedShajith()
print(me.superpower())
# Output: Turning messy datasets into decisions that move the needle 📈| Domain | Skill | Level |
|---|---|---|
| 🐍 Python | Pandas • NumPy • Matplotlib • Seaborn | ████████████░░ Advanced |
| 🗃️ SQL | Joins • Window Functions • Query Optimization | ████████████░░ Advanced |
| 📊 Power BI | DAX • Power Query • Data Modelling • Dashboards | ██████████░░░░ Proficient |
| 📋 Excel | Pivot Tables • Power Query • Power Pivot | ██████████░░░░ Proficient |
| 📈 Statistics | EDA • Hypothesis Testing • Regression | ████████░░░░░░ Intermediate |
| 🔄 ETL | Data Cleaning • Transformation • Pipelines | ████████░░░░░░ Intermediate |
Power BIDAXSQLExcel
┌─────────────────────────────────────────────────────────────┐
│ 📦 Dataset → 10,000+ Sales Records │
│ 🎯 Outcome → 15% Revenue Growth Opportunity Identified │
│ 📅 Peak Found → Q3 = Highest Revenue Quarter │
│ 🗺️ Scope → Multi-region, Multi-category Analysis │
└─────────────────────────────────────────────────────────────┘
What I did:
- 💰 Built dynamic KPIs — Revenue, Profit Margin, YoY Growth, Regional Contribution using DAX
- 🗺️ Designed region-wise performance maps and product-level heatmaps in Power BI
- 🔍 Identified high-performing vs underperforming regions through comparative analysis
- 📅 Discovered Q3 as peak quarter — enabling proactive inventory and promotional planning
- 📦 Delivered SKU-level recommendations for product strategy optimisation
PythonSQLExcel
┌─────────────────────────────────────────────────────────────┐
│ 📦 Dataset → Social Media Posts & Interactions │
│ 🎯 Outcome → Data-driven Content Strategy │
│ 📹 Finding → Video Content = Highest Engagement │
│ 👥 Scope → Audience Segmentation + Timing Analysis │
└─────────────────────────────────────────────────────────────┘
What I did:
- 🔍 Analysed post type, hashtag usage, and timing impact on reach using Python (Pandas, Matplotlib)
- 👥 Used SQL queries to segment audience and evaluate interaction trends across user groups
- 🎯 Identified high-performing content strategies and influencer impact patterns
- ⏰ Recommended optimal posting windows to maximise engagement efficiency
- 📈 Generated actionable insights for follower growth optimisation
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║ 🎓 B.E. Computer Science ║
║ SCAD College of Engineering & Technology ║
║ Tamil Nadu | Expected 2025 ║
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║ 📜 Data Analyst Certification ║
║ PYSpiders ║
║ Python • SQL • Power BI • ETL • Visualization ║
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| 💡 | 🔍 | 📢 | 🔄 |
|---|---|---|---|
| Analytical Thinking | Attention to Detail | Data Storytelling | Continuous Learning |
| I break complex problems into structured, solvable parts | I catch what others miss in data | I translate numbers into narratives | Always upskilling, always curious |
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║ 📬 Let's build something with data ║
║ ║
║ 📧 ahamedshajith.j@gmail.com ║
║ 🔗 linkedin.com/in/ahamed-shajith-28016932b/ ║
║ 📍 Bengaluru, Karnataka ║
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"Data is the new oil — I'm here to refine it."