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Sure Sudheer Kumar

Aspiring Data Analyst • Coimbatore, India • s************@gmail.com • 934****714 • github.com/••••• • drivetube.ai/•••••

Professional Summary

Data Analyst with 0 years of experience in Python, SQL and Power BI. Strong foundation in data cleaning, exploratory analysis, and visualization with hands-on exposure through an industry internship and an Arduino-based academic project. Seeking an entry-level analyst role to apply analytical skills, deliver actionable insights, and support data-driven decisions.

Technical Skills

Programming Language: Python,SQL
Version Control & Development Tools: Jupyter Notebook,Google Colab,Git,GitHub
Data Analysis & Visualization: Pandas,NumPy,Matplotlib,Power BI,Microsoft Excel,Exploratory Data Analysis,Data Cleaning,Statistical Analysis,Sensor Integration
AI/ML Frameworks & Libraries: scikit-learn
MLOps: Feature Engineering
Project Management & Collaboration: Tonny
Microcontrollers & Processors: Arduino

Work Experience

Bilasraika Sponge Iron Pvt. Ltd.
Intern
06/2025 – 07/2025
Manufacturing of sponge iron, iron ore fines, and structural steel; supported process data collection and basic analytics to improve operational visibility.
Tech Stack: Python, Jupyter Notebook, Power BI, Microsoft Excel, SQL
  • Collected and consolidated production and sensor data from plant logs and operator records using Microsoft Excel and Python to enable exploratory analysis.
  • Built interactive Power BI visualizations to track key process parameters (temperature, humidity, throughput) and surfaced trends for on-shift supervisors.
  • Developed Jupyter Notebook scripts to clean and standardize heterogeneous production datasets, streamlining data preparation for analysis.
  • Performed exploratory data analysis to identify process variability patterns and documented potential parameter adjustments to improve product consistency.
  • Automated routine weekly data consolidation with Python scripts, reducing manual preparation time and improving data reliability for reporting.
  • Prepared and presented analysis summaries to plant engineers, explaining data-driven observations and recommended next steps for process monitoring.

Projects

Smart Safe Dryer for Handloom Sarees (Final Year Project)
Tools Used: Arduino, Sensor Integration, Embedded Systems
  • Designed and implemented an Arduino-based controller to monitor and regulate temperature, humidity, and airflow for uniform drying of handloom sarees.
  • Integrated environmental sensors to provide real-time measurements and used control logic to automate fans and heaters for consistent drying conditions.
  • Validated system performance through lab tests and demonstrated improved drying uniformity and energy-aware control compared to manual drying methods.

Education

Jansons Institute of Technology, Coimbatore
B.E. Electronics & Communication Engineering • Coimbatore, India • 2026
Narayana Junior College, Kadapa
12th Standard • Kadapa, India • 2022
Santiniketan High School, Mydukur
10th Standard • Mydukur, India • 2020

Certifications

Python Basics — Skill Void
Data Analytics — Novi Tech (Navi Tech R&D Private Limited)
AI Tools Workshop — Be10x

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