Rajitha A.

Data Scientist

Bengaluru, Karnataka, India7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI/ML with hands-on experience in diverse domains.
Proficient in deploying models on AWS and collaborating with teams.
Strong background in data analysis and visualization techniques.

Stackforce AI infers this person is a Fintech-focused AI/ML Engineer with expertise in predictive modeling and data-driven solutions.

Contact

Skills

Core Skills

Data ScienceMachine LearningData VisualizationArtificial Intelligence (ai)

Other Skills

PythonSQLData AnalysisModel EvaluationLogistic RegressionRandom ForestGradient BoostingXGBoostMatplotlibSeabornPower BIDeep LearningComputer VisionNLPAWS EC2

About

I am an AI/ML Engineer and Data Scientist with hands-on experience in machine learning, deep learning, and generative AI, focused on building data-driven solutions that solve real-world business problems. I have worked on multiple AI proof-of-concept and client projects, applying supervised and ensemble learning techniques such as Logistic Regression, Random Forest, Gradient Boosting, and XGBoost across domains including banking, risk management, insurance, payroll analytics, and inventory forecasting. My work includes end-to-end data analysis, feature engineering, model optimization, and performance evaluation using metrics like accuracy, ROC-AUC, and R² score. I am proficient in Python and SQL, with strong experience using Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn for data analysis and visualization. I have also worked with deep learning concepts such as ANN, CNN, Computer Vision, and NLP, and have exposure to Generative AI frameworks. Additionally, I have hands-on experience deploying and experimenting with models on AWS (EC2) and collaborating using Git and GitHub. I enjoy transforming complex datasets into meaningful insights and scalable AI solutions. I am continuously learning and exploring new advancements in AI, machine learning, and generative models, and I am open to opportunities where I can contribute, grow, and create impact. Open to roles: AI/ML Engineer | Data Scientist | GenAI Engineer | Machine Learning Engineer

Experience

7 mos

Total Experience

7 mos

Average Tenure

Current Experience

Rubixe - ai solutions company

2 roles

Data Scientist

Sep 2024 – May 2025 · 8 mos · Bengaluru, Karnataka, India · On-site

Performed end-to-end data analysis on large, structured datasets across banking, insurance, payroll, and risk management domains.
Conducted data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA) to uncover trends and patterns.
Built and evaluated predictive models using Linear Regression, Logistic Regression, Random Forest, Gradient Boosting, and XGBoost.
Optimized models using hyperparameter tuning (GridSearchCV) and cross-validation techniques.
Evaluated model performance using Accuracy, ROC-AUC, R² Score, Precision, and Recall.
Created data visualizations and dashboards using Matplotlib, Seaborn, and Power BI to communicate insights to stakeholders.
Collaborated with cross-functional teams to translate business requirements into data-driven solutions.

PythonSQLData AnalysisData VisualizationMachine LearningModel Evaluation+1

Artificial Intelligence Engineer

Sep 2024 – May 2025 · 8 mos · Bengaluru, Karnataka, India · On-site

Worked on AI proof-of-concept and client projects, applying machine learning and deep learning techniques to real-world problems.
Designed and implemented AI-driven predictive systems for customer behavior prediction, loan default risk, salary forecasting, and inventory demand forecasting.
Developed and optimized ensemble and deep learning models, including ANN and CNN, for structured and unstructured data.
Applied time series forecasting techniques (AR, MA, ARIMA) for demand and inventory optimization aligned with JIT standards.
Gained hands-on exposure to Computer Vision and NLP concepts, exploring model architectures and use cases.
Deployed and tested models on AWS (EC2) and integrated AI models using Flask/Django for backend support.
Used Git and GitHub for version control and collaborative development in agile environments.

Artificial Intelligence (AI)Machine LearningDeep LearningComputer VisionNLPAWS EC2+2