Aneek Sarkar

@aneeksarkar

Passionate and driven data scientist with expertise in statistical analysis, machine learning, and d

As a data science intern, I have a strong foundation in statistical analysis, machine learning, and data visualization. I am skilled in Python, R, and MongoDB, and have experience extracting insights from complex datasets to drive informed decision-making. I am a collaborative team player with excellent communication skills and the ability to adapt quickly to new challenges.

During my virtual experiences, I have honed my ability to collaborate effectively in cross-functional teams, communicate technical concepts clearly, and adapt quickly to new challenges. I am eager to leverage my skills and enthusiasm for data-driven problem-solving to contribute effectively to innovative projects within your organization.

Experience

Work history, roles, and key accomplishments

Market Basket Analysis

Institute of Science, Banaras Hindu University

Conducted Market Basket Analysis on transactional data from a UK retailer to uncover patterns and associations among purchased items. Utilized Apriori algorithm and Association Rules mining to identify frequent item sets and association rules. Presented findings and insights derived from the analysis, highlighting actionable recommendations for retail strategy optimization and revenue enhancement.

Python Apriori Algorithm Data Mining Data Presentation

Data Visualization Intern

Tata Group of Industries

Created compelling data visualizations to empower business decision-making within Tata Group of Industries. Leveraged tools like Power BI to design and develop interactive dashboards, reports, and presentations. Collaborated with business stakeholders to understand their requirements and goals, translating them into actionable visualizations that drive strategic initiatives.

Power BI Python

Wine Fraud Detection

CISCO

Implemented comprehensive data preprocessing techniques, including Principal Component Analysis (PCA), for dimensionality reduction and handling missing values. Conducted Exploratory Data Analysis (EDA) to gain insights into wine quality attributes. Leveraged advanced data visualization techniques to effectively communicate insights and trends. Applied various anomaly detection algorithms to ident

Python Data Processing Principal Component Analysis Anomaly Detection

Movie Recommendation System

Visva-Bharati University

Developed a sophisticated Movie Recommendation System leveraging machine learning techniques and natural language processing (NLP). Applied data preprocessing techniques, conducted Exploratory Data Analysis (EDA), and implemented a content-based recommendation approach using cosine similarity. Demonstrated strong problem-solving skills and proficiency in Python programming, resulting in a scalable

Python Machine Learning Natural Language Processing (NLP)Data Processing

Data Science Intern

British Airways

Analyzed large datasets from British Airways to identify patterns and trends in customer behavior, flight performance, and operational efficiency. Utilized Python to clean, preprocess, and manipulate data for analysis. Developed predictive models using machine learning techniques to forecast customer demand, optimize flight schedules, and improve revenue management.

Python MongoDB