Snigdha Verma — Data Scientist
I am a passionate Data Scientist and Analyst with hands-on experience in building machine learning models, predictive analytics, and data visualization. With a strong foundation in Python, SQL, Power BI, MongoDB, and deep learning frameworks like TensorFlow and OpenCV, I’ve led projects across agriculture tech, emotion detection, and business analytics. At Nibe Space, I work on satellite imagery and deep learning to identify early-stage crop diseases. Previously, at NSDC and Strainer Technologies, I developed dashboards, optimized ETL pipelines, and implemented predictive models that significantly improved business efficiency and decision-making. I specialize in: -Machine Learning & Deep Learning -Computer Vision & NLP -Power BI Dashboards & DAX -Predictive Analytics & Model Deployment -ETL using SQL, MongoDB, PostgreSQL, and Informatica 💡 I love solving real-world problems using data and am always open to collaborating on impactful AI/ML projects. 📩 Feel free to connect or reach out for opportunities, especially in data-driven roles where innovation and scalability matter.
Stackforce AI infers this person is a Data Scientist with expertise in Agriculture Tech and Business Analytics.
Location: New Delhi, Delhi, India
Experience: 3 yrs 4 mos
Skills
- Machine Learning
- Deep Learning
- Computer Vision
- Data Analysis
- Predictive Modeling
Career Highlights
- Expert in machine learning and deep learning applications.
- Proven track record in predictive analytics and data visualization.
- Hands-on experience in agriculture tech and business analytics.
Work Experience
Nibe Space
Data Scientist (1 yr 2 mos)
National Skill Development Corporation
Data Analyst (1 yr 3 mos)
Strainer Technology
Data Analyst (11 mos)
Education
Certification course at Masai
Bachelor of Technology - BTech at THDC Institute of Hydropower Engineering & Technology (Constituent College of Uttarakhand technical University)
