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Nikil PatelNP
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Nikil Patel

@nikilpatel

I turn complex datasets into actionable insights through SQL, Python, Power BI, and interactive dashboards.

India
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What I'm looking for

I'm looking to contribute SQL, Python, Power BI, and dashboarding skills to data-driven decision-making and business growth while continuing to learn.

I've cleaned, transformed, and validated large-scale datasets at INFOLABZ IT SERVICES PVT. LTD, using Python, Pandas, NumPy, and SQL to improve analysis readiness and reporting workflows.

I build dashboards and visual reports with Plotly, Streamlit, and Power BI to surface trends, outliers, and business insights. My work includes exploratory data analysis, relational data extraction, aggregation, classification, and regression modelling with Scikit-Learn.

For an AI-based tourism demand forecasting system, I built a Streamlit application using a Random Forest Regressor to forecast tourist influx and overcrowding risks. I also developed travel intelligence features including a rule-based AI chatbot, budget planner, user authentication, and role-based access control.

I've also analyzed 150K+ electric vehicle records in Power BI and DAX, and created cricket analytics dashboards using Pandas and Matplotlib. I'm eager to support data-driven decision-making and business growth through clear, meaningful analysis.

Experience

Work history, roles, and key accomplishments

IL

Data Science Intern

Infolabz IT Services Pvt. Ltd.

Jan 2026 - Jun 2026 (5 months)

Collected, cleaned, transformed, and validated large-scale datasets using Python (Pandas, NumPy), improving data quality and analysis readiness. Performed comprehensive Exploratory Data Analysis (EDA) to identify trends, outliers, and patterns; communicated findings to stakeholders through structured reports.

Education

Degrees, certifications, and relevant coursework

SC

Smt. S.R. Patel Engineering College

Bachelor of Engineering, Computer Engineering

2022 - 2026

Grade: 7.80/10

Pursuing a Bachelor of Engineering in Computer Engineering, achieving a CGPA of 7.80/10.

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