Aspiring AI/ML Engineer | Computer Science Student | Research Enthusiast
I am a dedicated Computer Science Engineering student with a specialization in Artificial Intelligence and Machine Learning, maintaining a strong a…
Aspiring AI/ML Engineer | Computer Science Student | Research Enthusiast
I am a dedicated Computer Science Engineering student with a specialization in Artificial Intelligence and Machine Learning, maintaining a strong academic record of 8.58 CGPA. My passion lies in developing innovative data-driven solutions and predictive models that solve real-world challenges.
During my summer internship at IIT Hyderabad, I gained valuable hands-on experience in environmental data analysis, where I successfully engineered multiple machine learning models including Random Forest, SVM, and LSTM for pollutant trend forecasting. I optimized ETL workflows to process over 2,300 daily records, resulting in a 35% reduction in model training time. This experience strengthened my expertise in Python, TensorFlow, and data visualization tools.
My project portfolio demonstrates consistent excellence in applying machine learning to diverse domains. I developed an infrastructure quality assessment system using Google Maps APIs that achieved 96% accuracy, created house price prediction models with 91% precision, and built a neural network for heart disease prediction with 90% accuracy. My research work has been published in the Journal of Emerging Technologies and Innovative Research, reflecting my commitment to contributing meaningful insights to the AI/ML community.
I bring strong technical proficiency in Python, Java, R, and SQL, along with expertise in cloud platforms like AWS and visualization tools including Power BI and Matplotlib. My academic achievements include recognition in national competitions such as the Science Talent Search and International Mathematics Olympiad, complemented by certifications from prestigious institutions including ISRO, AWS Academy, and IIT programs.
I am actively seeking opportunities to contribute to innovative AI/ML projects where I can apply my technical skills, research mindset, and passion for solving complex problems while continuing to grow in this d
Engineered 3 ML/DL models (Random Forest, SVM, LSTM) to forecast pollutant trends under climate change using Python and TensorFlow.
Transformed and automated ETL workflows processing 2,300+ daily records from 2018–2024 Copernicus datasets for Chennai.
Reduced model training time by 35% by optimizing data pre-processing and training workflows in Jupyter Notebook.
Created over 15 time-series and geospatial plots using Matplotlib and Seaborn, aiding in trend interpretation and stakeholder presentations.
Engineered 3 ML/DL (Random Forest, SVM, LSTM) models to forecast pollutant trends under climate change using Python and TensorFlow., Transformed and automated ETL workflows processing 2,300+ daily records from 2018–2024 Copernicus datasets for Chennai., Reduced model training time by 35% by optimizing data pre-processing and training workflows in Jupyter Notebook., Created over 15 time-series and geospatial plots using Matplotlib and Seaborn, aiding in trend interpretation and stakeholder presentations.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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