Name: Harsh Tripathi

Job Role: Data Analyst

Experience: 3 Years 6 Months

Address: Nottingham, United Kingdom

Skills

SQL 95%
PYTHON 85%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 80%

About

About Me

With over 3 years of comprehensive experience in the field of data science & analytics, accompanied by a master's degree in data science. Proficient in data analysis, statistical analysis, hypothesis testing, customer behaviour analysis, & machine learning.

  • Profile: Data Science & Analytics
  • Domain: Retail, Ecommerce, BFSI, Finance & Digital Marketing
  • Education: Masters in Data Science
  • Language: English, Hindi
  • BI Tools: Microsoft Power BI, Looker & Tableau
  • Other Skills: Cloud, Python, PySpark, Excel, Git, JIRA, Google Analytics & SEO

0 +   Projects completed

LinkedIn

Resume

Resume

I help teams make better decisions with data. My background blends an MSc in Data Science with hands-on work in analytics, business intelligence, and process optimisation. Most of my projects revolve around turning messy datasets into clear stories, building dashboards people actually use, and improving the speed and reliability of data workflows.

Experience


2025-Present

Graduate Data Analyst

Nottinghamshire Hospice

Nottingham, United Kingdom

  • Designing a Power BI ecosystem that pulls together fragmented operational data into one reliable source of truth.
  • Creating a clean data model that simplifies reporting for clinical, fundraising and volunteer teams.
  • Building automated refresh processes so the dashboard runs without manual effort and stays up to date.
  • Turning raw activity logs into clear metrics that help leadership track performance, service demand and resource use.
  • Running short discovery sessions with staff to understand what insights actually matter to them and shaping the dashboard around that.
  • Developing visuals that make it easy to spot trends, bottlenecks and outliers at a glance.
  • Cleaning and structuring messy historical records so they can be used in meaningful reporting.
  • Documenting the entire workflow so the dashboard can be maintained long-term by internal teams.

2021-2024

Data Analyst

Tata Consultancy Services Ltd.

Hyderabad, India

  • Improved reporting efficiency by 15% and reduced query times by 25% by redesigning pipelines and using SQL/Python for deeper analysis.
  • Built dashboards in Power BI, Tableau and Excel that gave teams real-time visibility into KPIs and operational trends.
  • Introduced data lineage tracking to strengthen governance and ensure data integrity across complex datasets.
  • Worked closely with cross-functional teams to refine requirements and enhance end-to-end data processes.
  • Maintained and enhanced mission-critical systems for healthcare clients, improving performance and reliability.
  • Cut batch processing time by 10% by improving code and job logic.
  • Supported migration initiatives from legacy to modern infrastructure



Education


2023-2024

MSc in Data Science

Nottingham Trent University

Developed a chatbot to support international students as part of the dissertation.

Grade: First class distinction.

2017-2021

Bachelor of Technology

Dr. A.P.J Abdul Kalam Technical University.

Grade: First class distinction.

Projects

Projects

Below are the sample Data Analytics projects on SQL, C#, Python, Power BI & ML.

Traffic prediction using Data Analysis and ML

Leveraging AI Model to predict traffic on a highway using ML Model.

Power BI HR Analytics dashboard Project for Beginners

Designed a power bi dashboard for HRs to track and analyze the attrition and retention rate of the orgaization.


Maze Solver Game in C++

Interactive console-based maze solver that lets a player navigate or watch the algorithm find the exit. I generate a maze, represent it as a grid, then use pathfinding (DFS/BFS-style search) to explore valid moves, backtrack from dead ends and highlight the shortest path from start to finish. It’s a neat mix of game logic, algorithms and clean C++ implementation.

Extracting and Visualizing Stock Data

A compact workflow that pulls historical stock prices using yfinance and scrapes quarterly revenue data with BeautifulSoup. After cleaning and shaping both datasets, I brought them together in interactive Plotly visuals that show how Tesla’s and GameStop’s share-price trends align with their underlying revenue over time.

0 Achievements
0 Projects
0 Learning Hours
0 Cups of coffee

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Nottingham , United Kingdom

Contact Number

+447909310893

Download Resume

Resume Link