Nidhi
Bhuj, Gujarat, India
Experience: 1 years
Open to: Fractional, Full-Time, Part-Time
Education: Masters
Availability: Immediate
Skills: Jupyter Notebooks, Matplotlib, MongoDB, MySQL, NumPy, pandas, PostgreSQL, Power BI, Python, Python3, scikit-learn
Previously worked at: Startups
Assessment Score: 75
- Educational Background
Currently pursuing an M.Sc. in Agri Analytics at Dhirubhai Ambani Institute of Information and Communication Technology (2023-Present), with a CPI of 8.6. Completed a B.Sc. in Horticulture from Anand Agricultural University (2019-2023), maintaining a CPI of 8.289, with a strong foundation in agricultural sciences and analytics. - Technical Skills
Skilled in data analytics, geo-spatial analysis, and machine learning with proficiency in Python, SQL, and data visualization tools such as Power BI and Tableau. Experienced with machine learning libraries including NumPy, Pandas, Scikit-learn, and TensorFlow, as well as database management using PostgreSQL and MySQL. - Project Experience
Led multiple projects such as developing a deep learning model for Tomato Leaf Disease Detection using CNN, DenseNet, and VGG16, creating machine learning algorithms for Leaf Area Index Estimation of Wheat, and conducting crop yield analysis using BigQueryML and Google Looker Studio, showcasing expertise in agri-tech applications. - Internship Experience
Currently serving as a Data Science Intern at Krishi Kutumb (May 2024-Present), where responsibilities include gathering and organizing data for crop identification and disease detection, implementing deep learning models, and presenting findings in research meetings, further enhancing practical skills in agri analytics. - Certifications and Training
Completed certifications in Machine Learning from Analytics Vidhya, Data Science using Python from IIT Hyderabad, and advanced tools training in Excel, Power BI, and Tableau from Pioneer Tech. Also, a winner of the Student Innovation Fest 2021, demonstrating strong problem-solving and innovation in the field. - Research and Analytical Strengths
Expertise in leveraging data-driven approaches to analyze global and agricultural trends, including conducting global GDP analysis, developing crop recommendation systems, and implementing feedback-driven models, reflecting a comprehensive understanding of data science and its application to agriculture and economics.