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Mohammad KaifMK
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Mohammad Kaif

@mohammadkaif3

Fresher Data Analyst and ML engineer turning data into dashboards and APIs.

India
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What I'm looking for

I’m looking for a role where I can turn data into decision-ready dashboards and KPIs, build reliable SQL/Python analytics, and use ML/API workflows to ship actionable insights. I’m open to Data Analyst, Business Analyst, and Machine Learning Engineer roles.

I’m a B.Tech CSE (AI & ML) fresher who turns raw data into business insights through SQL, Python, interactive dashboards, and ML-backed analytics. Across 4 end-to-end portfolio projects, I’ve worked with datasets of 100K+ records to build KPI reporting, EDA, and production-ready logic.

I built a full “India Startup Funding Intelligence” platform that unifies 3,215 records (2015–2024) using a custom Python ETL pipeline (scraper → cleaner → SQLite loader). I deployed a FastAPI REST API with 6 endpoints and OpenAPI/Swagger, and trained an XGBoost model achieving 77.29% accuracy—supported by a Streamlit dashboard for trends and live funding predictions.

I also developed analytics systems for real-world decisions, including a logistics & supply chain platform (30,000 shipments) where XGBoost reached 85.6% recall for delay prediction, plus multi-page Streamlit dashboards for monitoring and cost analysis. To connect insights to action, I delivered a global job market dashboard (Power BI) and an e-commerce SQL analysis (100,000+ orders) that identified one-time buyers (96.88%) as a retention risk and linked churn findings to repeat-purchase campaign recommendations.

Experience

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Education

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DIT University logoDU

DIT University

Bachelor of Technology (B.Tech), Computer Science & Engineering (AI & ML)

2022 - 2026

Grade: CGPA: 6.69 / 10

Activities and societies: Event Lead (Youthopia 2025): led a team of 12 volunteers to execute a 500+ attendee college fest; Event Coordinator (Youthopia 2024): managed cross-functional planning and on-ground execution.

Pursuing a B.Tech in Computer Science & Engineering (AI & ML), completing data/ML-focused projects across SQL, Python, Power BI, FastAPI, and machine learning.

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