Results-driven Data Analyst with a Bachelor's degree in Computer Science and Engineering, specializing in Python programming, machine learning, and advanced data visualization. Proven ability to leverage statistical methods and predictive modeling to extract actionable insights, identify key trends, and drive data-driven decision-making. Eager to apply analytical expertise to contribute to dynamic teams and achieve business success through strategic data initiatives.
Web Development Intern
Summary
Gained foundational experience in web development within a dynamic tech environment, contributing to various stages of application development.
Highlights
Assisted in the development and maintenance of web applications, focusing on front-end and back-end integration.
Collaborated with senior developers to implement new features and resolve technical issues.
Data Science and Analytics Intern
Summary
Engaged in data science and analytics projects, applying theoretical knowledge to practical scenarios to extract meaningful insights.
Highlights
Participated in data collection, cleaning, and preliminary analysis tasks for various datasets.
Assisted in developing reports and presentations to communicate analytical findings.
Python, Java, C, HTML & CSS.
CNNs, LSTM, Time Series Forecasting, Scikit-learn, Statsmodels, Facebook Prophet, TensorFlow, Keras.
Pandas, NumPy, Matplotlib, Seaborn, Plotly, Power BI, Exploratory Data Analysis (EDA).
SPSS, Alteryx, Scikit-learn, Statsmodels, Flask, Streamlit, Association Rule Mining.
MySQL, Relational Databases, SQL.
Selenium.
OpenCV, PyCharm, Darknet YOLO, YOLO v8.
Bachelor's Degree
Computer Science and Engineering
Grade: 8.2 CGPA
Higher Secondary Certificate (HSC)
General Studies
Grade: 86%
Secondary School Leaving Certificate (SSLC)
General Studies
Grade: 86%
Summary
Analyzed large transactional datasets to provide actionable insights into customer behavior, enabling businesses to optimize cross-selling strategies, enhance inventory management, and boost overall sales and customer satisfaction.
Summary
Developed and deployed advanced time series forecasting models for stock market trend prediction, leveraging machine learning and deep learning techniques to provide actionable insights for financial data analytics.
Summary
Designed and implemented an innovative object detection system transforming visual data into audio cues, specifically to enhance mobility and independence for visually impaired individuals.