Years of Experience and Expertise
Aspiring Data Analyst with practical experience gained through a six-month internship at STSARC, where contributions focused on data-driven projects, trend analysis, and machine learning model implementation for business insights.
Educational Background
Currently pursuing a PG Diploma in Big Data Analytics from Institute for Advanced Computing and Software Development (CDAC, Pune) and recently graduated with a Bachelor of Computer Engineering from Sandip Institute of Engineering and Management (Nashik) with a strong academic foundation in computer science.
Professional Experience and Internship
Gained hands-on experience during an internship at STSARC, working on data analysis, statistical methods, data visualization, and machine learning to support business decision-making, including cleaning and preprocessing complex datasets.
Key Projects and Achievements
Developed an advanced online financial fraud detection system using Random Forest, Logistic Regression, and DBSCAN for outlier detection, and built an IPL data analysis pipeline leveraging AWS S3, Databricks, and PySpark to process and analyze large datasets.
Technical Skills and Tools
Proficient in Python, SQL, MongoDB, Apache Spark, Hadoop, and machine learning libraries such as Scikit-learn, TensorFlow, and XGBoost. Experienced in data visualization using Tableau, Plotly, Seaborn, and Matplotlib for presenting insights effectively.
Certifications and Development
Continuously developing expertise in big data technologies, ETL processes, and statistical analysis through ongoing education and hands-on projects, enhancing proficiency in extracting actionable insights from diverse datasets.
