Senior Applied Data Scientist | Tesco
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Tesco
Senior Data Scientist & Engineer
June 13, 2026 – Present
TVS_Credits_Analytics_Challange_2020
March 31, 2021 – October 7, 2021
Data Analytics Challenge organized by TVS Credit as a part of TVS E.P.I.C Challenge. The main objective of this challenge was to identify the customers who have a higher tendency to default, if they are provided with Personal Loans (PL) thus useful in mitigating the risk associated with the most risky set of customers.
View ProjectMalware_Detection_Tool
September 22, 2020 – November 30, 2021
Malware_Detection_Tool — GitHub repository
View ProjectReal-Time-Covid-Tracker-India
August 4, 2020 – September 30, 2024
Python module that can track the no. of cases in District/States of India on Real Time. This Module uses a publicly available API imported from rapidapi.net
View ProjectFake-News-SOURCE-Detector
August 4, 2020 – March 31, 2021
Fake news refers to misinformation in the country which is spread through word of mouth and traditional media and more recently through digital forms of communication such as edited videos, memes, unverified advertisements and social media propagated rumours. Fake news spread through social media in the country has become a serious problem, with the potential of it resulting in mob violence, and hence it is necessary to stop the spread of such misinformation. Besides Fake News, the sources responsible for spreading Fake News are much more dangerous. Hence such sources must be detected and prevent spread of Fake News. Ultimately Eliminating the source could be very helpful in preventing spread of Fake News.
View ProjectMultilingual-Toxic-Comment-Classification
August 4, 2020 – October 7, 2021
This project is based on NLP (Natural Language Processing) which enables us to classify comments on the basis on toxicity (anything rude, disrespectful comments). If these toxic contributions can be identified, we could have a safer, more collaborative internet. The contest was primarily organized by "Kaggle". This model was made using BERT Multilingual Library and trained using TPUv3-8 (Tensor Processing Unit). The AUC Score achieved by my model was 0.915
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal data science and machine learning projects, indicating self-motivation and a passion for the field. However, the projects are predominantly personal and lack diversity in team-based or large-scale enterprise environments, which might impact cultural fit in a collaborative senior role. The listed technologies are limited, primarily Jupyter Notebook, Python, and C++, suggesting a focused but potentially narrow technical breadth for a 'Senior Data Scientist & Engineer' role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and lacks information on collaboration, problem-solving approaches, or communication styles.