harsh raj
@harshraj1
Results-driven Data Analyst passionate about data-informed decision-making.
What I'm looking for
I am a results-driven Data Analyst with hands-on experience in data visualization, SQL, and Python-based analytics. My expertise lies in cleaning and interpreting large datasets, creating insightful dashboards, and building machine learning models. I thrive on collaborating across teams and effectively communicating data findings to both technical and non-technical stakeholders.
Throughout my career, I have successfully delivered actionable insights that drive data-informed decision-making in business environments. Notable projects include developing a machine learning model for customer churn prediction, which achieved an accuracy of 87%, and creating interactive dashboards that improved reporting efficiency by 30%. My internships have further honed my skills, allowing me to implement innovative solutions that enhance operational efficiency.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Indian Oil Corporation
Jul 2022 - Aug 2022 (1 month)
Built a computer vision system to streamline cylinder serial number recognition, reducing manual input errors by 40%. Implemented image processing workflows using OpenCV to improve production quality control.
Front-End Developer Intern
Littra
Dec 2021 - Feb 2022 (2 months)
Developed web interfaces using ReactJS, HTML, CSS, and JavaScript. Improved conversion rates by 20% and enhanced user satisfaction by 30%.
IoT Intern
The Sparks Foundation
Jul 2021 - Aug 2021 (1 month)
Integrated Raspberry Pi and PiCam with OpenCV for real-time color recognition system. Boosted object identification accuracy by 50%.
Education
Degrees, certifications, and relevant coursework
Maharaja Agrasen Institute of Technology
Bachelor of Technology, Electronics and Communication Engineering
Grade: 8.8 / 10
Completed a Bachelor of Technology in Electronics and Communication Engineering. Achieved a CGPA of 8.8 out of 10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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