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Data Science with less than a year in Machine Learning and AI
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A strategic Data Scientist with a Master's in Data Science, skilled in Python, SQL, machine learning, deep learning, NLP, and Generative AI. Experienced in building multimodal applications, optimizing ML pipelines, and creating intelligent user experiences.
University College of Science, Osmania University
Master of Science · Data Science
October 1, 2024 – Present
Deeksha Degree College, Kakatiya University
Bachelor of Science · Data Science
July 1, 2021 – June 1, 2024
Car Damage Detection Using Deep Learning
January 1, 2026 – January 1, 2026
Built a Car Damage Detection system as part of the Deep Learning Bootcamp led by. Developed an AI model using PyTorch, ResNet50, CNN, and Transfer Learning to classify car damage into six categories. Applied image preprocessing, augmentation, and hyperparameter tuning using Optuna to improve model accuracy. Deployed the project using FastAPI and Streamlit for real-time damage prediction.
Credit Risk Modelling
August 1, 2025 – September 1, 2025
Developed a real-time risk classification system using Streamlit, processing user inputs across 8+ features (Age, Income, Loan metrics, etc.) with sub-second response time. Used Optuna for hyperparameter tuning across 100+ trials, boosting model accuracy by 18% and reducing false positives by 22%. Created a clean, professional dashboard optimized for finance teams, cutting manual review time by 35%.
View ProjectCredit Card Product EDA - AtliQo Bank
May 1, 2025 – June 1, 2025
Performed Exploratory Data Analysis (EDA) on banking customer data for AtliQo Bank's credit card launch project. Cleaned and processed data using Python, Pandas, and NumPy by handling missing values and outliers. Analyzed customer demographics, income, and spending behavior to identify target customer segments. Created visualizations using Matplotlib and Seaborn to generate business insights and support decision-making.
Deep Learning
Codebasics
December 1, 2025 – Present
Natural Language Processing
Codebasics
December 1, 2025 – Present
Master Machine Learning for Data Science & AI
Codebasics
July 1, 2025 – Present
Math and Statistics For AI, Data Science
Codebasics
June 1, 2025 – Present
Python: Beginner to Advanced For Data Professionals
Codebasics
May 1, 2025 – Present
SQL For Data Science
Codebasics
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity (EDA, Deep Learning for computer vision, Credit Risk Modelling) show a broad interest in Data Science applications. The pursuit of a Master's degree and multiple certifications from Codebasics indicates a strong drive for continuous learning and skill development, which aligns well with a growth-oriented culture. However, the lack of professional experience means their ability to collaborate in a corporate setting and adapt to diverse team dynamics is yet to be proven.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through numerous certifications. Project descriptions indicate an ability to work on structured problems and deliver tangible results (e.g., 'boosting model accuracy by 18%', 'reducing false positives by 22%'). The academic nature of projects suggests a strong theoretical foundation, but real-world operational experience is currently lacking.