Ritika Shree Tamada
Liverpool,United Kingdom
Summary
Skilled data analyst with strong expertise in Python, SQL, and Microsoft Excel. Proficient in data visualisation using Power BI and Tableau, with a proven ability to enhance dataset accuracy. Committed to leveraging analytical skills to support informed decision-making and improve business performance.
Overview
4
4
years of professional experience
1
1
Certification
Work history
Data Enhancement Administrative Officer
Valuation Office Agency
Liverpool
2026.01 - Current
• Maintain and enhance HMRC data records by performing regular data cleansing and validation, improving dataset accuracy across multiple internal systems by estimated 15–20%.
• Process and integrate incoming data feeds, mapping fields and resolving discrepancies to ensure timely availability of data for operational teams.
• Automate routine data validation tasks using Excel macros and scripted routines, cutting repetitive processing time by estimated 10–15%.
• Check, validate, and clean incoming records to identify missing, duplicate, or incorrect data before it enters reporting processes.
Data Science Intern
Futzen E Technologies
Visakhapatnam
2022.12 - 2023.03
- Assisted with analysing datasets and preparing data for machine learning models.
- Performed data cleaning and preprocessing using Python libraries.
- Created visualisations to communicate insights to project teams.
Education
MSc - Data Science
University of Hertfordshire
United Kingdom 09/2023 - 10/2026
Bachelor of Technology - Electronics and Computer Engineering
Vignan's Institute of Information Technology
India 08/2019 - 04/2023
Skills
- Python and SQL proficiency
- Data analysis with Pandas
- Numerical computing with NumPy
- Microsoft Excel expertise
- Data visualization with Power BI and Tableau
Certification
- Python for Everybody - Coursera
- Excel Essential Training - LinkedIn Learning
- Introduction to Networks - Cisco
- Introduction to HTML
Academic Projects
Machine Learning Models for High-Impact Weather Prediction.
- Built machine learning models to predict high-impact weather events using historical meteorological data.
- Cleaned and transformed data, engineered features, and evaluated model performance using Python and scikit-learn.
- Compared multiple models to improve prediction accuracy and reduce false alarms.
Real-Time Lane Detection Autonomous Vehicle Prototype.
- Developed a real-time lane detection prototype for autonomous vehicles using computer vision techniques and Python.
- Processed live video frames to detect lane markings and improve roadway tracking accuracy.
- Applied image preprocessing and edge-detection methods to support reliable lane identification in varying conditions.
Fitness Tracking Database Management System.
- Designed and implemented a fitness tracking database management system to store and manage user activity data efficiently.
- Built a relational database schema and wrote SQL queries for data insertion, retrieval, and reporting.
- Improved data organisation and access for tracking workouts, progress, and user records.
Online Grocery Store Web Application
- Developed an online grocery store web application using HTML, Python, and JavaScript.
- Built core front-end and back-end functionality to support product browsing and user interaction.
- Applied web development fundamentals to create a simple and functional e-commerce platform.
Timeline
Data Enhancement Administrative Officer
Valuation Office Agency
2026.01 - Current
Data Science Intern
Futzen E Technologies
2022.12 - 2023.03
MSc - Data Science
University of Hertfordshire
09/2023 - 10/2026
Bachelor of Technology - Electronics and Computer Engineering
Vignan's Institute of Information Technology
08/2019 - 04/2023