om Kadam
@omkadam
Agriculture data analyst applying ML and visualization to improve crop and market outcomes.
What I'm looking for
I am a resourceful agriculture data analyst skilled in advanced data analysis, visualization, and machine learning to drive insights into crop yield, climate trends, and market dynamics.
I have developed and deployed predictive models and interactive dashboards using Python, Power BI, Streamlit, and Flask, and delivered actionable insights across projects like Blinkit sales analysis, Indian Agriculture Analysis, and climate impact on crop yield prediction.
I combine strong data-cleaning and modeling skills (Scikit-learn, TensorFlow), visualization expertise (Power BI, Tableau, matplotlib, seaborn), and a focus on sustainable, data-driven agricultural decision-making.
Experience
Work history, roles, and key accomplishments
Data Analyst (Agriculture)
Aispry
Mar 2024 - Jun 2024 (3 months)
Led district- and year-wise analysis of Indian agriculture and built an interactive Power BI dashboard that highlighted crop distribution, seasonal trends, and state-level performance to inform resource allocation and decision-making.
Data Analyst
Blinkit
Developed an interactive Power BI sales analysis dashboard for Blinkit covering $1.2M in sales, identifying high-performing city tiers, outlet types, and product categories to drive actionable retail insights.
Data Analyst
Independent Projects
Built and deployed predictive models and interactive apps (Streamlit/Flask) for climate impact on crop yield, price prediction, and object detection to support agri-decision making under changing conditions.
Education
Degrees, certifications, and relevant coursework
SCSPA College of Agriculture Ashti
Bachelor of Science, Agriculture
2019 - 2023
BSc in Agriculture completed with coursework and projects focused on agricultural data analysis, climate trends, and predictive modeling.
360DigiTMG
Data analyst certification , data analyst
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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