Katta Manik

AI Engineer

https://talent.gravityer.com/katta-manik

AI Engineer with less than a year in Data Science & Machine Learning

Sathya technologies

Key Strengths

Demonstrated foundational knowledge in Python for data analysis and machine learning.
Experience with various ML techniques including Regression and Classification, and model evaluation metrics.
Exposure to Deep Learning (CNN, RNN/LSTM, TensorFlow/PyTorch) and NLP concepts.
Project experience in building an ML pipeline for prediction, including preprocessing and feature selection.
Internship experience involving data preparation, EDA, and predictive model building.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects and internship show a focus on data science and machine learning, which aligns with an AI Engineer role. However, the breadth of experience is limited to academic projects and a single internship. The resume indicates a strong interest in the field, but lacks diversity in project types or team collaboration experiences that would strongly indicate cultural fit in a dynamic, senior-level environment.

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit beyond what can be inferred from project descriptions and work experience. The candidate's professional summary indicates an aspiration to solve real-world problems and contribute to data-driven decision making.

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Projects

Python Data Analysis Project (EDA)

January 1, 2026 – February 28, 2026

Gained hands-on experience in data cleaning, processing, and exploratory data analysis using Python with libraries such as NumPy, Pandas, Matplotlib, and Seaborn

Online Shoppers Intention Prediction using ML

December 1, 2025 – June 30, 2026

Developed an end-to-end machine learning pipeline to predict online customer purchase intent using preprocessing, SMOTE for class imbalance handling, chi-square based feature selection, and model benchmarking across 7+ classifiers with 10-fold cross-validation and ROC-AUC evaluation using Scikit-learn, Pandas, Numpy, and Imbalanced-learn.

Key Strengths

Demonstrated foundational knowledge in Python for data analysis and machine learning.
Experience with various ML techniques including Regression and Classification, and model evaluation metrics.
Exposure to Deep Learning (CNN, RNN/LSTM, TensorFlow/PyTorch) and NLP concepts.
Project experience in building an ML pipeline for prediction, including preprocessing and feature selection.
Internship experience involving data preparation, EDA, and predictive model building.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Katta Manik

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Projects

Key Strengths

Cultural & Operational Fit