GANESH KARLI
@ganeshkarli
Data analyst proficient in Python, SQL, Power BI; turning data into actionable insights.
What I'm looking for
I am a data analyst with practical experience in Python, SQL, Power BI, and Excel, trained in exploratory data analysis, data cleaning, and dashboard building. I focus on transforming messy datasets into clear, actionable insights that drive smarter business decisions.
During my academic and project work, I developed forecasting and risk-assessment models, performed web scraping for financial data, and produced executive-ready visualizations and Power BI dashboards with KPIs and drill-downs. I have completed a Deloitte Data Analytics job simulation and maintained a 35-day GitHub contribution streak to sharpen my technical practice.
I value problem-solving, teamwork, adaptability, and timely delivery, and I am available immediately for remote or Mumbai/Navi Mumbai opportunities where I can contribute to data-driven decision making and continue growing my analytics and machine-learning skills.
Experience
Work history, roles, and key accomplishments
Data Analyst
Self Employed
Performed exploratory data analysis, cleaning, and visualization on multiple datasets to produce actionable insights and interactive dashboards for stakeholders. Built forecasting and risk assessment models and automated data collection pipelines to improve data-driven decision making.
Education
Degrees, certifications, and relevant coursework
A. C. Patil College of Engineering
Bachelor of Engineering, Artificial Intelligence & Data Science
2021 -
Grade: 7.0 / 10
Pursuing a Bachelor of Engineering in Artificial Intelligence & Data Science with coursework and projects focused on data analysis, machine learning, and visualization.
B. N. N. College
Higher Secondary Certificate (HSC), Higher Secondary Certificate
2019 - 2021
Grade: 87%
Completed Higher Secondary Certificate with strong academic performance and preparation for tertiary studies in STEM fields.
Availability
Location
Authorized to work in
Job categories
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