Prenith Edward

I am writing to express my strong interest in the Data Analyst position at your Company as advertised. With a proven track record in conceptualizing and implementing analytical insights, I am eager to contribute my broad-based experience and technical skills to your team. My technical skills encompass a wide range of programming languages and tools, including Python, R, Java, NumPy, Pandas, Tableau, and more. I have a Tableau Certified Data Analyst and R for Data Science by IBM certification, and I have completed Master Certificates in Data Analysis from Simplilearn. Additionally, I have successfully executed capstone projects that demonstrate my ability to leverage Python's machine learning libraries, implement data visualization, and conduct in-depth analysis of various data domains, including recommendation systems, sales performance analysis, and restaurant recommendations. During my professional experience as a Data Analyst intern at Fortray Global Services in London and Brainnest in Berlin, I have honed my data analysis skills. I have led data pipeline design, performed data analysis, and worked on data transformation, ensuring high data accuracy. I have also developed and maintained databases and data collection systems and utilized advanced statistical techniques to generate valuable insights for decisionmaking.

Capstone Projects:
App Rating Recommendations:
Objective: Developed a recommendation system to help users discover relevant mobile applications based on their
preferences and usage patterns.
Technical Details:
• Utilized Python's machine learning libraries, including scikit-learn, for recommendation algorithm development.
Employed collaborative filtering techniques such as user-based and item-based recommendation models.
• Leveraged extensive data preprocessing and feature engineering to enhance recommendation accuracy.
• Implemented data visualization using Matplotlib and Seaborn for model evaluation and user feedback analysis.
Sales Performance Analysis:
Objective: Conducted an in-depth analysis of sales data to identify key trends, anomalies, and opportunities for revenue
optimization.
Technical Details:
• Performed data cleansing and transformation to prepare the dataset for analysis.
• Utilized advanced statistical methods, including time series analysis and regression modelling, to uncover sales
patterns.
• Employed data visualization tools, particularly Tableau, to create interactive dashboards for sales performance
monitoring.
• Developed Python scripts for automated data extraction and reporting, streamlining the analysis process.

Identifying and Recommending Best Restaurants:
Objective: Created a recommendation system for restaurant enthusiasts, considering user preferences, location, and
past dining experiences.
Technical Details:
• Employed collaborative filtering and content-based recommendation techniques to personalize restaurant
recommendations.
• Utilized web scraping libraries, such as BeautifulSoup and Selenium, to collect restaurant data from various online
sources.
• Implemented geospatial analysis using Python's geocoding and mapping libraries to factor in location preferences.
• Integrated user feedback and reviews from platforms like Yelp and TripAdvisor to refine restaurant ratings.
Professional Experience:
Data Analyst (Intern)
Fortray Global Services, London Jan 2023 to Present
• Gather requirements, design, and implement data pipelines for extraction, transformation and loading of data.
• Perform analysis of datasets (both internal and external) to generate insights and present findings to stakeholders.
• Transforming raw data from vendors into a structured format to be used in various internal processes.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize
statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct
code problems.
• Work with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.
• Perform research, verification, and data matching tasks to maintain high data accuracy.
• Stay up to date with developments in the data & analytics industry and identify new technologies and
methodologies that can support the team in achieving their goals.
Data Analyst (Intern)
Brainnest, Berlin June 2022 to Dec 2022
• Acquired hands-on experience with SPSS, proficiently accessing and integrating data while constructing data
maps.
• Prepared and cleaned data, conducted visual exploratory analysis, and utilized statistical methods for data
description.
• Designed, developed, and maintained performance monitoring dashboards, incorporating changes and
improvements using Business Intelligence (BI) tools.
• Collaborated with the marketing team to enhance lead generation and deal closing strategies, ultimately
supporting client business objectives.
• Assisted in identifying key insights from data analysis, providing valuable inputs for strategic decision-makin

Education:
M.Sc. (Hons) Data Science
University of Essex, Colchester, UK Sep 2021 – Oct 2022
B.Tech. in Electronics and Communication Engineering
P.R.I.S.T. University, India