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Data Analyst with less than a year in Data Analytics, Python & Power BI.
I am a Computer Science Engineering graduate with hands-on experience in Data Analytics through my internship and projects. I have worked with Python, SQL, Excel, Power BI, Pandas, and NumPy to analyze data and create reports that support decision-making. I am eager to begin my career as a Data Analyst, where I can learn from experienced professionals, improve my skills, and contribute to real business challenges.
Government Engineering College, Talakal
B.E. · Computer Science
August 1, 2022 – June 30, 2026
Tungal Science PU College, Bagalkot
PUC
June 1, 2020 – May 31, 2022
Gurubasav Public School, Yadahalli RC
SSLC
June 1, 2019 – May 31, 2020
SkyllX Technologies Pvt. Ltd.
Software Engineer Intern - Data Analytics
February 1, 2026 – May 1, 2026
India
CodSoft
Python Developer
October 1, 2025 – November 1, 2025
India
Vendor Performance Analysis
June 1, 2026 – Present
Working on a real-world vendor performance analysis project using SQL, Python, and Power BI. Completed data cleaning and transformation using SQL and Pandas to prepare the data for analysis. Explored vendor and purchasing data to identify trends and generate business insights through EDA. Currently building a Power BI dashboard to present key vendor performance metrics and procurement insights. Tech Stack: SQL, Python, Pandas, NumPy, Matplotlib, Power BI, Jupyter Notebook, Excel
Customer Behaviour Analysis
March 1, 2026 – May 1, 2026
Analyzed customer purchasing behavior using a Kaggle dataset to identify buying patterns and sales trends. Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python (Pandas, NumPy) and SQL. Created interactive dashboards in Power BI to visualize sales performance and customer insights. Generated recommendations to improve customer satisfaction, product targeting, and customer retention. Tech Stack: Python, SQL, Pandas, NumPy, MySQL, Jupyter Notebook, Power BI, Excel Dataset: Kaggle
View ProjectSmart Street Light System using IOT
September 1, 2025 – February 1, 2026
Developed an IOT-based Smart Street Light System using Arduino Uno, IR Sensors, LDR Module, and LEDs to automate street lighting. Reduced electricity consumption by 50-60% through automatic light control based on vehicle movement and ambient light. Improved energy efficiency, reduced maintenance costs, and enhanced public safety with a low-cost automation solution. Programmed and tested the system using Arduino IDE (C/C++). Tech Stack: Arduino Uno, Arduino IDE, C/C++, IR Sensors, LDR Module, LEDs, Breadboard, Jumper Wires
View ProjectHackathon Participant (HACKABHIGNA)
Unknown
October 1, 2025 – Present
Forage Data Science Job Simulation
Unknown
July 1, 2025 – Present
Google Cloud + Hack2Skill (Agentic Hackathon 2025)
Google Cloud
July 1, 2025 – Present
HP LIFE (AI for Beginners)
HP LIFE
July 1, 2025 – Present
IBM Cognitive Class (Python 101 for Data Science)
IBM Cognitive Class
June 1, 2025 – Present
Visvesvaraya Research & Innovation Foundation (AWS Cloud Foundation Bootcamp)
Visvesvaraya Research & Innovation Foundation
April 1, 2025 – Present
Infosys (Data Structures and Algorithms)
Infosys
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships align well with a Data Analyst role, showcasing a clear career interest. The diversity of projects (vendor analysis, customer behavior, IoT) indicates a broad interest in applying technical skills to different domains. Participation in hackathons and various certifications suggest a proactive and continuous learning mindset, which is a positive cultural fit for dynamic tech environments. However, the experience level is entry-level, which might require more mentorship and structured guidance.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project descriptions and a professional summary. The psychometric test score suggests average logical reasoning and work attitude, with potential areas for improvement in stress handling and team collaboration. Project descriptions indicate an ability to work in teams and manage tasks, but the depth of collaboration is not extensively detailed.