Akash Thanki
MSc Data Science • University of Sussex
About me
I'm an MSc Data Science student at the University of Sussex with 4 years of professional experience in analytics and data science. I've worked on large-scale data pipelines for enterprise clients including Google, Amazon, Samsung, and Unilever.
I specialise in building end-to-end solutions: from data cleaning and EDA through statistical modelling and machine learning, to production dashboards and reporting. I'm comfortable in Python, SQL, and cloud tools.
Seeking graduate and internship roles in data science and analytics.
Skills
Programming
Python (Pandas, NumPy, Scikit-learn, PyTorch, SciPy, NLTK), SQL, C++
Data Analysis
Data cleaning, EDA, feature engineering, data preprocessing, data storytelling & reporting
Statistics
Inferential statistics, hypothesis testing, A/B testing, probability distributions
Machine Learning
Supervised learning (regression, classification), model evaluation, cross-validation
Visualisation
Matplotlib, Seaborn, Tableau, Power BI
Tools
Git, Jupyter Notebook, Google Colab, Marimo, MATLAB, Excel, PowerPoint
Work Experience
Research Associate
Numerator (Remote, India) • Jan 2024 – Aug 2025
- Built large-scale FMCG data pipelines (Pandas, NumPy, SQL) for Google, Amazon, Samsung
- Ran Emerging Verticals pod, growing small accounts into enterprise engagements
- Built automated dashboards, cutting turnaround time on recurring reports
- Designed custom analytical index for Newell Brands trade sanctions impact analysis
Data Classification Associate
Numerator (Remote, India) • Sep 2021 – Dec 2023
- Processed and categorised high-volume FMCG product data from North American sources
- Ran data QA across high-throughput workflows with consistency checks and error detection
- Worked cross-functionally to keep pipelines clean
Education
M.Sc. Data Science, University of Sussex
Sep 2025 – Sep 2026 (current)
B.E. Electronics and Communication Engineering, Gujarat Technological University
Sep 2016 – Aug 2020