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I am an emerging Data Scientist with 3 years of combined experience in academic research and industry projects, specializing in machine learning, deep learning, and generative AI. I have hands-on expertise in developing and deploying end-to-end predictive models, time series forecasters, CNNs for image classification, and transformer-based large language models for NLP using Python, TensorFlow, PyTorch, and Hugging Face. I am skilled in building scalable data pipelines, applying statistical modeling, and leveraging cloud platforms like AWS and GCP for real-time AI/ML deployment. I have a proven ability to translate business problems into data-driven solutions through collaborative teamwork, model evaluation, and impactful storytelling via Power BI and Tableau.…I am an emerging Data Scientist with 3 years of combined experience in academic research and industry projects, specializing in machine learning, deep learning, and generative AI. I have hands-on expertise in developing and deploying end-to-end predictive models, time series forecasters, CNNs for image classification, and transformer-based large language models for NLP using Python, TensorFlow, PyTorch, and Hugging Face. I am skilled in building scalable data pipelines, applying statistical modeling, and leveraging cloud platforms like AWS and GCP for real-time AI/ML deployment. I have a proven ability to translate business problems into data-driven solutions through collaborative teamwork, model evaluation, and impactful storytelling via Power BI and Tableau.

Baddam Manikanta

Data Scientist, AI Engineer, Data Analyst, +1

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I am an emerging Data Scientist with 3 years of combined experience in academic research and industry projects, specializing in machine learning, deep learning, and generative AI. I have hands-on expertise in developing and deploying end-to-end predictive models, time series forecasters, CNNs for image classification, and transformer-based large language models for NLP using Python, TensorFlow, PyTorch, and Hugging Face. I am skilled in building scalable data pipelines, applying statistical modeling, and leveraging cloud platforms like AWS and GCP for real-time AI/ML deployment. I have a proven ability to translate business problems into data-driven solutions through collaborative teamwork, model evaluation, and impactful storytelling via Power BI and Tableau.…I am an emerging Data Scientist with 3 years of combined experience in academic research and industry projects, specializing in machine learning, deep learning, and generative AI. I have hands-on expertise in developing and deploying end-to-end predictive models, time series forecasters, CNNs for image classification, and transformer-based large language models for NLP using Python, TensorFlow, PyTorch, and Hugging Face. I am skilled in building scalable data pipelines, applying statistical modeling, and leveraging cloud platforms like AWS and GCP for real-time AI/ML deployment. I have a proven ability to translate business problems into data-driven solutions through collaborative teamwork, model evaluation, and impactful storytelling via Power BI and Tableau.

Available to hire

I am an emerging Data Scientist with 3 years of combined experience in academic research and industry projects, specializing in machine learning, deep learning, and generative AI. I have hands-on expertise in developing and deploying end-to-end predictive models, time series forecasters, CNNs for image classification, and transformer-based large language models for NLP using Python, TensorFlow, PyTorch, and Hugging Face.

I am skilled in building scalable data pipelines, applying statistical modeling, and leveraging cloud platforms like AWS and GCP for real-time AI/ML deployment. I have a proven ability to translate business problems into data-driven solutions through collaborative teamwork, model evaluation, and impactful storytelling via Power BI and Tableau.

Skills

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Work Experience

Graduate Data Science Research Assistant at Lewis University

November 1, 2024 - August 25, 2025

Improved sequential prediction accuracy by implementing LSTM models for academic trend data. Developed a GPT-2 based summarization model reducing manual review time by 60%. Created dashboards using Streamlit and Power BI for visualizing training metrics. Designed a scalable AWS S3 data lake integrated with SageMaker to support repeatable ML workflows. Enhanced CNN model performance on medical images by applying dropout, tuning learning rates, and early stopping. Applied PCA and t-SNE for interpretable visualization of high-dimensional data. Conducted A/B testing on student evaluations to drive curriculum updates. Improved collaboration by setting up version controlled GitHub repositories, boosting reproducibility and peer reviews.

Data Science Associate at Augur Talent Care

March 1, 2022 - August 25, 2025

Analyzed historical attrition data to improve retention forecasts and inform HR strategies. Built and validated Random Forest and SVM classification models achieving 82% accuracy in flight risk detection. Extracted sentiment features from survey feedback using TF-IDF and NLTK to identify dissatisfaction trends. Developed dynamic dashboards in Tableau and Power BI enabling real-time attrition tracking by department. Implemented data cleansing workflows to enhance dataset quality. Automated reporting pipeline reduced weekly reporting time by 70%. Tuned logistic regression and XGBoost models using GridSearchCV with final selection based on ROC-AUC. Collaborated with HR to translate model insights into policies reducing attrition in high-risk roles over 6 months.