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@balajirh
I am an analytical data science engineer specializing in machine learning, data engineering, and predictive analytics.
I am a data science engineer with a strong academic foundation in Information Technology, graduating with a CGPA of 9.2. I build end-to-end data projects that surface actionable insights and drive decisions.
During internships, I cleaned and modeled real-world datasets, developed supervised models (including an intelligent fraud detection system), and built a car price prediction model with extensive feature engineering. I collaborated with senior data scientists and delivered interactive dashboards using Matplotlib, Seaborn, and Power BI.
I work primarily with Python, Pandas, NumPy, SQL, TensorFlow/Keras, and data visualization tools, and I am deepening my data engineering and ETL skills. I am passionate about joining a collaborative team to apply data-driven solutions and continue growing through practical, impactful projects.
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Work history, roles, and key accomplishments
Gradtwin Services OPC Pvt Ltd
May 2025 - Jul 2025 (2 months)
Cleaned, analyzed, and modeled real-world datasets using Python (Pandas, NumPy) and SQL to uncover insights that supported data-driven decisions. Collaborated with senior data scientists to develop and evaluate machine learning models, created interactive visualizations with Matplotlib/Seaborn and Power BI, and contributed to ETL and data pipeline tasks.
Futurik Technologies
Jul 2024 - Aug 2024 (1 month)
Designed, developed, and deployed a responsive portfolio website using HTML, CSS, JavaScript, PHP, and MySQL. Gained practical experience in web hosting, version control, and client-server interactions.
Degrees, certifications, and relevant coursework
Bachelor of Science, Information Technology
2022 - 2025
Grade: 9.2
Activities and societies: Academic and practical projects including fraud detection and car price prediction; coursework and hands-on work in EDA, feature engineering, SQL, and data preprocessing.
Completed a Bachelor of Science in Information Technology with a CGPA of 9.2, focusing on programming, data structures, database systems, data analytics, and machine learning. Engaged in academic and practical projects applying data science techniques to real-world problems.
Software and tools used professionally
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