MOHIT ANAND CHOUDHARY

Motivated and technically proficient professional with a strong foundation in Python, Data Science, and Artificial Intelligence. Eager to apply my interdisciplinary knowledge and programming expertise to develop impactful, real-world solutions.

• Awarded Gold Medal for B.Tech final-year project.
• Received MHRD scholarship during M.Tech.
• Event Coordinator, Tech Fest (Bachelor's program).
• Represented IIT BHU in Inter-IIT Badminton Competition.

• Microsoft Azure Projects, Conducted multiple data science projects on Azure using compute instances., Worked with all three authoring methods: Designer, AutoML, and Python SDK v2., Gained experience in model deployment at production scale.
• Machine Learning Internship, 03/24 - 05/24, Focused on market segmentation and analysis using machine learning techniques., Conducted segmentation for McDonald's and explored market entry strategies into India's EV sector., Developed a practical business model supported by machine learning insights.
• Business Projects, Delivered data-driven solutions in HR, operations, customer segmentation, sales prediction, and medical image analysis., Applied techniques like sentiment analysis, clustering, Autoencoders, PCA, NLP, time series forecasting, and deep learning., Achieved measurable outcomes such as enhanced employee retention and optimized marketing strategies.
• Python Certification, Covered SQLite integration, list comprehensions, GUI development (Tkinter, PyQt), web scraping, and DSA fundamentals., Projects included games (Tic-Tac-Toe, Hangman), OOP (coffee machine simulation), and functional GUI applications.
• AI and Data Science Certification, Covered supervised (classification, regression) and unsupervised learning (clustering, association rules)., Hands-on with algorithms: Naive Bayes, SVM, KNN, Random Forest, Apriori, Eclat., Completed an image recognition project using CNN., Tools used: Scikit-learn, Pandas, Matplotlib, NumPy.
• M.Tech Research Project, Developed a chemo-sensor using 2D Graphene Oxide (GO) sheets., Fabricated using sonication and Langmuir-Blodgett techniques; analyzed via SEM, AFM, UV-Vis, XRD, and PL spectroscopy., Gold electrodes were added to study the sensor's performance.