About Candidate

Analytical and detail-oriented Computer Science and Data Science undergraduate with hands-on experience in machine learning, advanced data analytics, and end-to-end AI solutions. Adept at large-scale data modeling, visualization, and deploying ML solutions for real business and research problems. Seeking data analyst/scientist roles to deliver actionable business insights and drive process excellence in a challenging organization.

CORE COMPETENCIES:

• Machine Learning & AI: TensorFlow, Keras, Scikit-learn, Vision Transformers, YOLO, Explainable AI

• Data Analytics & BI: Power BI, Excel, Advanced Data Modeling, Visualization

• Programming: Python (Pandas, NumPy), Java, C, SQL

• Technical Skills: Git/GitHub, Flask, ETL, Data Warehousing

KEY PROJECTS:

1. MRI-Based Brain Tumor Diagnostics Using Advanced AI

   – Achieved 99.7% precision classification and 81% mAP object detection

   – Integrated Explainable AI (Grad-CAM) for clinical adoption

   – Tools: Python, TensorFlow, Keras, OpenCV, Flask

2. Accommodation Recommendation System

   – Developed ML solution using geolocational clustering (K-Means) and Foursquare API

   – Enhanced search accuracy with dynamic recommendations

   – Tools: Pandas, Scikit-learn, Matplotlib, Folium

3. Global Food Production Analysis (1961-2021)

   – Built KPI-rich Excel dashboards for policy-makers

   – Tools: Excel, Power Query, PivotTables

4. Global Inflation Dynamics Analysis (1980-2024)

   – Conducted time-series analysis across G7 and BRICS nations

   – Tools: Power BI, DAX, Excel

CERTIFICATIONS:

• Supervised Machine Learning – SCALER

• Introduction to Statistics – Stanford University

• Introduction to Internet of Things – CISCO

• C Basic, Python Basic, SQL Basic – HackerRank

HOBBIES & INTERESTS:

• Exploring AI tools and emerging technologies

• Watching stock market trends

• Cooking

• Gardening

Location