Aneesh Mada

I'm passionate about using AI, data science, and geospatial technologies to solve real-world problems. With my experience leading projects like intelligent shopping systems, coastal erosion analysis, and AI powered applications, I want to bring both technical skills and creative problem-solving to a tech company where I can build scalable, impactful solutions and keep growing in the fields of AI and data-driven innovation. I am Keen to drive the development of scalable solutions and enhance the national defence sector through innovative technology initiatives.

Offering strong foundation in programming and passion for artificial intelligence, eager to learn and grow in dynamic environment. Brings academic experience in machine learning and proficiency in Python and TensorFlow. Ready to use and develop problem-solving and analytical skills in Data Analytics role.

Geospatial Coastal Erosion Analysis (2004–2024):

-> Processed Landsat imagery to detect shoreline movement over 20 years.  

-> Applied NDWI, Canny edge detection, and U-Net segmentation for shoreline extraction.  

-> Calculated erosion and accretion rates using methods: EPR, LRR, WLR.  

-> Automated workflows in Python for scalable and reproducible monitoring.  

Outcome : Enabled data-driven erosion risk insights for environmental decision-making. 

Tech : Python, OpenCV, Pandas, DSAS

IPO Success Predictor :

-> Developed ML models to predict IPO performance in the first 6 months.  

-> Engineered financial features including pricing band & sentiment.  

-> Created GUI dashboard for prediction & comparison.  

Tech : Python, Pandas

Sense-Pak - Intelligent Smart Shopping Trolley:

-> Built a portable smart cart system using sensors to automate billing & inventory deduction.  

-> Live total cost tracking and SMS-based UPI checkout, preventing billing delays & theft.  

Outcome : Reduced manual billing effort & improved customer checkout experience.

Udemy - AI/ML

• Head of DAKSH workshops team (DAKSH is a technical fest conducted by the university)
• Member of English Literary club
• Member of drone club