Results-driven AI/ML and web development professional with hands-on experience in building machine learning models, data analytics dashboards, and responsive websites. Skilled in Python, data preprocessing, model training, and cloud platforms. Adept at collaborating with teams to deliver data-driven solutions and optimize business processes.
Innovexies
Remote
Developed machine learning and data analytics solutions using Python, Pandas, Scikit-learn, and Tensor Flow for real-world datasets. Worked on data preprocessing, model training, visualization, and predictive analytics projects including financial analytics, stock forecasting, and real estate prediction systems.
Collaborated on building AI-driven applications with focus on accuracy optimization and data-driven insights.
Data Corp Traffic Pvt Ltd
Salem, Tamilnadu
Analyzed and classified vehicle data with 95% accuracy, optimizing categorization logic using rule-based algorithms. Processed and validated 500+ data points per day, improving dataset reliability by 15% through systematic debugging. Collected, validated, and reported on vehicle records daily, exporting structured data into Excel dashboard.
Tidy Digital Solutions
Salem, Tamilnadu
Developed 5+ responsive websites using HTML, CSS, Bootstrap, Word Press, and Elementor with cross-browser compatibility. Customized Word Press themes and optimized site performance, improving engagement by 15% and load speed by 35%. Collaborated with teams to deliver SEO-friendly, mobile-responsive, visually engaging web solutions.
Bachelor of Engineering
CGPA: 8.03. Coursework in electronics, communication systems, and applied engineering principles.
PostgreSQL, Streamlit, Plotly, Matplotlib, Seaborn, SQLAlchemy, SQL
Developed a data analytics dashboard to analyze PhonePe digital payment transactions using Python, SQL, Streamlit, and Plotly. Implemented ETL processes, transaction trend analysis, and interactive visualizations for state-wise payment insights. Created dashboards to monitor transaction volume, user growth, and digital payment adoption patterns across India.
Python, FastAPI, SQLAlchemy, SQLite, REST APIs
Developed a financial tracking application using FastAPI and SQLite for managing daily income and expenses. Implemented budget analysis, transaction categorization, and visualization dashboards for financial insights. Designed RESTful APIs and integrated dynamic charts for monitoring savings and spending trends.
Pandas, Scikit-learn, Streamlit, Seaborn, Matplotlib, XGBoost
Developed a machine learning model for predicting real estate prices using Python, Pandas, and Scikit-learn. Implemented regression algorithms, feature engineering, and data preprocessing for accurate property valuation. Created analytical visualizations and dashboards to identify housing market trends and location-based pricing insights.