Data Scientist with 1.5 years of experience developing and deploying high-accuracy Machine Learning, Deep Learning, NLP, and Generative AI solutions. Proven track record of achieving up to 95% model accuracy, improving p…
Data Scientist with 1.5 years of experience developing and deploying high-accuracy Machine Learning, Deep Learning, NLP, and Generative AI solutions. Proven track record of achieving up to 95% model accuracy, improving performance by 20–30%, and building production-ready AI systems using Python, TensorFlow, Keras, Scikit-learn, Tableau, and Hugging Face. Strong background in data preprocessing, statistical modeling, forecasting, and visualization, with the ability to present insights that accelerate decision-making and drive measurable business impact. Passionate about scalable AI, real-world problem solving, and continuous innovation.
Data Scientist – Solitaire International LLP, Hyderabad (2024 – 2025)Performed data extraction, cleaning, and transformation using Python (Pandas, NumPy), ensuring high quality datasets for analysis and modeling.Built interactive dashboards and KPI reports in Tableau, enabling management to track business performance and make data driven decisions.Conducted statistical analysis including correlation studies, hypothesis testing, regression models, and trend forecasting to identify actionable insights.Presented analytical insights, dashboards, and performance reports directly to the Head of Operations and CEO, supporting strategic planning and faster decision making.Implemented best practices in data validation, governance, and version control to ensure accuracy, consistency, and reliability across all data projects.Performed data extraction, cleaning, and transformation using Python (Pandas, NumPy), Ensured high data quality and consistency for analysis.
NullClass – Data Science Intern (Hyderabad, 2024)Developed and trained CNN models for facial emotion detection using TensorFlow and Keras, improving accuracy through data augmentation and hyperparameter tuning.Built an age and gender detection system using OpenCV and Keras, ensuring consistent performance across diverse image datasets.Enhanced model robustness by applying regularization, feature extraction, and optimization techniques for real world reliability.Designed a user friendly GUI for AI models, improving usability and accessibility for nontechnical users.Worked on preprocessing, dataset structuring, and evaluation metrics to ensure high quality, production ready model outputs.
Performed data extraction, cleaning, and transformation using Python (Pandas, NumPy), ensuring high data quality and consistency for analysis.
Utilized Tableau Desktop to develop interactive dashboards, KPIs, and visual reports, enabling business stakeholders to monitor key metrics and make data driven decisions.
Conducted statistical analysis including correlation analysis, hypothesis testing, regression models, and trend forecasting to uncover actionable business insights.
Presented analytical reports and dashboards directly to the Head of Operations and CEO, ensuring the data was accurate, insightful, and aligned with strategic decision-making needs.
Ensured data governance and accuracy by applying best practices in data validation, cleaning, and version control.
Developed and trained a Convolutional Neural Network (CNN) for image classification using TensorFlow and Keras.
Utilized ImageDataGenerator for data augmentation and preprocessing of grayscale images.
Improved model accuracy by fine-tuning hyperparameters and implementing regularization techniques, ensuring robust performance on unseen real-world images.
Developed an advanced graphical user interface to classify the age and gender of a person based on a photograph using OpenCV and Keras.
Improved model reliability across varied datasets, ensuring consistent real-world performance.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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